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This Cryptocurrency Tracking Firm is Employing AI to Identify Attackers


Elliptic, a cryptocurrency analytics firm, is incorporating artificial intelligence into its toolkit for analyzing blockchain transactions and risk identification. The company claims that by utilizing OpenAI's ChatGPT chatbot, it will be able to organize data faster and in larger quantities. It does, however, have some usage restrictions and does not employ ChatGPT plug-ins. 

"As an organization trusted by the world’s largest banks, regulators, financial institutions, governments, and law enforcers, it’s important to keep our intelligence and data secure," an Elliptic spokesperson told Decrypt. "That’s why we don’t use ChatGPT to create or modify data, search for intelligence, or monitor transactions.”

Elliptic, founded in 2013, provides blockchain analytics research to institutions and law enforcement for tracking cybercriminals and regulatory compliance related to Bitcoin. Elliptic, for example, reported in May that some Chinese shops selling the ingredients used to produce fentanyl accepted cryptocurrencies such as Bitcoin. Senator Elizabeth Warren of the United States used the report to urge stronger regulations on cryptocurrencies once more.

Elliptic will employ ChatGPT to supplement its human-based data collecting and organization procedures, allowing it to double down on accuracy and scalability, according to the company. Simultaneously, large language models (LLM) organize the data.

"Our employees leverage ChatGPT to enhance our datasets and insights," the spokesperson said. "We follow and adhere to an AI usage policy and have a robust model validation framework."

Elliptic is not concerned about AI "hallucinations" or incorrect information because it does not employ ChatGPT to generate information. AI hallucinations are occasions in which an AI produces unanticipated or false outcomes that are not supported by real-world facts.

AI chatbots, such as ChatGPT, have come under fire for successfully giving false information about persons, places, and events. OpenAI has increased its efforts to resolve these so-called hallucinations in training its models using mathematics, calling it a vital step towards establishing aligned artificial general intelligence (AGI).

"Our customers come to us to know exactly their risk exposure," Elliptic CTO Jackson Hull said in a statement. "Integrating ChatGPT allows us to scale up our intelligence, giving our customers a view on risk they can't get anywhere else."

Watch Out For These ChatGPT and AI Scams


Since ChatGPT's inception in November of last year, it has consistently shown to be helpful, with people all around the world coming up with new ways to use the technology every day. The strength of AI tools, however, means that they may also be employed for sinister purposes like creating malware programmes and phishing emails. 

Over the past six to eight months, hackers have been observed exploiting the trend to defraud individuals of their money and information by creating false investment opportunities and scam applications. They have also been observed using artificial intelligence to plan scams. 

AI scams are some of the hardest to spot, and many people don't use technologies like Surfshark antivirus, which alerts users before they visit dubious websites or download dubious apps. As a result, we have compiled a list of all the prevalent strategies that have lately been seen in the wild. 

Phishing scams with AI assistance 

Phishing scams have been around for a long time. Scammers can send you emails or texts pretending to be from a trustworthy organisation, like Microsoft, in an effort to trick you into clicking a link that will take you to a dangerous website.

A threat actor can then use that location to spread malware or steal sensitive data like passwords from your device. Spelling and grammar mistakes, which a prominent corporation like Microsoft would never make in a business email to its clients, have historically been one of the simplest ways to identify them. 

However, in 2023 ChatGPT will be able to produce clear, fluid copy that is free of typos with just a brief suggestion. This makes it far more difficult to differentiate between authentic letters and phishing attacks. 

Voice clone AI scams

In recent months, frauds utilising artificial intelligence (AI) have gained attention. 10% of respondents to a recent global McAfee study said they have already been personally targeted by an AI voice scam. 15% more people claimed to be acquainted with a victim. 

AI voice scams use text-to-speech software to create new content that mimics the original audio by stealing audio files from a target's social network account. These kinds of programmes have valid, non-nefarious functions and are accessible online for free. 

The con artist will record a voicemail or voice message in which they portray their target as distressed and in need of money desperately. In the hopes that their family members won't be able to tell the difference between their loved one's voice and an AI-generated one, this will then be transmitted to them. 

Scams with AI investments

Scammers are using the hype surrounding AI, as well as the technology itself, in a manner similar to how they did with cryptocurrencies, to create phoney investment possibilities that look real.

Both "TeslaCoin" and "TruthGPT Coin" have been utilised in fraud schemes, capitalising on the attention that Elon Musk and ChatGPT have received in the media and positioning themselves as hip investment prospects. 

According to California's Department of Financial Protection & Innovation, Maxpread Technologies fabricated an AI-generated CEO and programmed it with a script enticing potential investors to make investments. An order to cease and desist has been given to the corporation. 

The DFPI claims that Harvest Keeper, another investment firm, collapsed back in March. According to Forbes, Harvest Keeper employed an actor to pose as their CEO in an effort to calm irate clients. This demonstrates the lengths some con artists will go to make sure their sales spiel is plausible enough.

Way forward

Consumers in the US lost a staggering $8.8 billion to scammers in 2022, and 2023 is not expected to be any different. Periods of financial instability frequently coincide with rises in fraud, and many nations worldwide are experiencing difficulties. 

Artificial intelligence is currently a goldmine for con artists. Although everyone is talking about it, relatively few people are actually knowledgeable about it, and businesses of all sizes are rushing AI products to market. 

Keeping up with the most recent scams is crucial, and now that AI has made them much more difficult to detect, it's even more crucial. Following them on social media for the most recent information is strongly encouraged because the FTC, FBI, and other federal agencies frequently issue warnings. 

Security professionals advised buying a VPN that detects spyware, such NordVPN or Surfshark. In addition to alerting you to dubious websites hidden on Google Search results pages, they both will disguise your IP address like a conventional VPN. It's crucial to arm oneself with technology like this if you want to be safe online.

OpenAI, the Maker of ChatGPT, Does not intend to Leave the European Market


According to the sources, the CEO of OpenAI, manager of ChatGPT, and creator of artificial intelligence technology, Sam Altman, in the past, has publicly favored regulations on AI technology development. However, more recently, he has indicated that he opposes overregulation of this technology. Reports indicate that Altman, who led Microsoft's AI research initiative, has stated that his company may leave the European Union (EU) if it can not comply with the EU rules. There has been a sudden change of heart by the top executive about his threat to leave the region in the recent past. 

In a conversation on Friday, Altman retracted a statement saying that the company might leave Europe if pending laws concerning artificial intelligence make it too difficult to comply with them. This is in response to a threat earlier in the week that OpenAI might leave the region. 

Currently, the European Union is working on the first global set of rules governing artificial intelligence. Altman on Wednesday dubbed the current draft of the EU Artificial Intelligence Act over-regulatory and “over-regulated." 

In terms of regulating artificial intelligence globally to ensure a set of rules is established, the European Union is well on its way.

Furthermore, this action by the EU is in tandem with the advocacy of OpenAI, the ChatGPT development company. This company has sought regulation of 'superintelligent' artificial intelligence. Guardian reports that the IAE has the power to prevent humanity from accidentally creating something that can destroy it if not controlled correctly. As a result, the IAE needs to act as the equivalent of the IAE. 

It is proposed that these laws would require generative AI companies to disclose copies of the content used to train their systems. This would enable them to create text and images protected by copyright. 

AI companies want to imitate performers, actors, musicians, and artists. This is to train their systems to act as though they perform the work of those individuals. 

According to Time Magazine, Mr. Altman is concerned that if OpenAI complied with the AI Act's safety and transparency restrictions, it would be technically impossible to comply. 

Rules for AI in the EU 

A set of rules for artificial intelligence in the EU has already been developed. It is estimated that within the next few years, a significant amount of copyrighted material will have been used to develop the algorithms deployed by companies, such as ChatGPT and Google's Bard, as it is determined by these regulations. 

A draft of the bill has already been drafted and approved by EU officials earlier this month, and it will be discussed by representatives of the European Parliament, the Council of the European Union, and the European Commission to finalize the details for it to be enacted into law. 

It has been reported that Google CEO Sundar Pichai has also met with European Commission officials to discuss AI regulation. According to reports, he is working with legislators in Europe to develop a voluntary set of rules or standards. This will serve as a stopgap set of guidelines or standards while AI innovation continues in Europe. 

There has been a lot of excitement and alarm around chatbots powered by artificial intelligence (AI) since Microsoft launched ChatGPT, a powerful chatbot powered by AI. Its potential has provoked excitement and concern, but it has also caused conflict with regulations around AI applications.

OpenAI CEO Sam Altman irritated EU officials in London when he told reporters that if any future regulations forced OpenAI to stop operating in the bloc because they were too tight, it might have to cease operations. 

In March, the OpenAI app was shut down by Italian data regulator Garante. Garante accused OpenAI of violating EU privacy rules, leading to a clash between OpenAI and its regulators. After instituting enhanced privacy measures for users, ChatGPT has returned online and continues to serve its customers. 

In a blitz against Google, Microsoft also made several announcements like this the following month. It announced that it would spend billions of dollars supporting OpenAI and use its technology in a variety of its products.

In recent weeks, New York-based Altman, 38, has been greeted rapturously with rapturous welcomes from leaders across the globe, such as Nigerian leaders and London politicians. 

Despite that, Thierry Breton, the bloc's industry commissioner, found his remarks on the AI Act, a regulation aimed at preventing invasive surveillance and other technologies from causing people to fear for their safety, frustrating. 

In a recent statement, OpenAI said it would award ten grants of equal value from a fund of $1 million. This was to measure the governance of AI software. Altman described it as "the process of democratically determining AI systems' behavior. 

On Wednesday, Mr. Altman attended a University College London event. He stressed that he was optimistic AI would lead to increased job creation and decreased inequality across the world.

Several meetings took place between him and Prime Minister Rishi Sunak, along with DeepMind and Anthropic AI heads. These meetings were to discuss the risks of artificial intelligence - from disinformation to national security to "existential threats" - as well as the voluntary actions and regulatory framework needed to address these risks. Some experts are concerned that super-intelligent AI systems may threaten mankind's existence. 

To implement a 'generative' Large Learning Model (LLM) system, massive sets of data are analyzed and generated to create resources.

If the law is put into effect, companies like OpenAI will be required to reveal the types of copyrighted materials they used to train their artificial intelligence systems. This is so they can produce text and images. 

According to the proposed legislation, facial recognition in public places and predictive policing tools may also be prohibited under an updated set of regulations. 

ChatGPT, backed by Microsoft, was introduced late last year and since then has grown exponentially, reaching 100 million users monthly in a matter of weeks. It is the fastest-growing consumer application in history. 

As part of its commitment to integrate OpenAI technology into all of its products, Microsoft acquired a 13 billion dollar stake in the company in 2019. 

As a result of a clash with European regulator Garante in March, OpenAI first faced regulators during its domestic launch. The company was accused of flouting data privacy rules in Europe. In an updated privacy measure, ChatGPT has committed to users' privacy and restored the chat service.

The Security Hole: Prompt Injection Attack in ChatGPT and Bing Maker


A recently discovered security vulnerability has shed light on potential risks associated with OpenAI's ChatGPT and Microsoft's Bing search engine. The flaw, known as a "prompt injection attack," could allow malicious actors to manipulate the artificial intelligence (AI) systems into producing harmful or biased outputs.

The vulnerability was first highlighted by security researcher Cris Giardina, who demonstrated how an attacker could inject a prompt into ChatGPT to influence its responses. By carefully crafting the input, an attacker could potentially manipulate the AI model to generate false information, spread misinformation, or even engage in harmful behaviors.

Prompt injection attacks exploit a weakness in the AI system's design, where users provide an initial prompt to generate responses. If the prompt is not properly sanitized or controlled, it opens the door for potential abuse. While OpenAI and Microsoft have implemented measures to mitigate such attacks, this recent discovery indicates the need for further improvement in AI security protocols.

The implications of prompt injection attacks extend beyond ChatGPT, as Microsoft has integrated the AI model into its Bing search engine. By leveraging ChatGPT's capabilities, Bing aims to provide more detailed and personalized search results. However, the security flaw raises concerns about the potential manipulation of search outputs, compromising the reliability and integrity of information presented to users.

In response to the vulnerability, OpenAI has acknowledged the issue and committed to addressing it through a combination of technical improvements and user guidance. They have emphasized the importance of user feedback in identifying and mitigating potential risks, encouraging users to report any instances of harmful behavior from ChatGPT.

Microsoft, on the other hand, has not yet publicly addressed the prompt injection attack issue in relation to Bing. As ChatGPT's integration plays a significant role in enhancing Bing's search capabilities, it is crucial for Microsoft to proactively assess and strengthen the security measures surrounding the AI model to prevent any potential misuse or manipulation.

The incident underscores the broader challenge of ensuring the security and trustworthiness of AI systems. As AI models become increasingly sophisticated and integrated into various applications, developers and researchers must prioritize robust security protocols. This includes rigorous testing, prompt vulnerability patching, and ongoing monitoring to safeguard against potential attacks and mitigate the risks associated with AI technology.

The prompt injection attack serves as a wake-up call for the AI community, highlighting the need for continued collaboration, research, and innovation in the field of AI security. By addressing vulnerabilities and refining security measures, developers can work towards creating AI systems that are resilient to attacks, ensuring their responsible and beneficial use in various domains.

Fake ChatGPT Apps may Fraud you out of Your Money

The growing popularity of ChatGPT has given online scammers a good chance to take it as an opportunity to scam its users. Numerous bogus apps have now been released on the Google Play Store and the Apple App Store as a result of the thrill surrounding this popular chatbot.

Cybersecurity firm Sophos has now made the users acknowledge the case of fake ChatGPT apps. It claims that downloading these apps can be risky, that they have almost no functionality, and that they are continually sending advertisements. According to the report, these apps lure unaware users into subscribing for a subscription that can costs hundreds of dollars annually.

How Does the Fake ChatGPT App Scam Work? 

Sophos refers these fake ChatGPT apps as fleeceware, describing them as ones that bombard users with adverts until they give in and purchase the subscription. These apps are purposefully made to only be used for a short period of time after the free trial period ends, causing users to remove them without realizing they are still obligated to make weekly or monthly membership payments.

According to the report, five investigated bogus ChatGPT apps with names like "Chat GBT" were available in order to deceive users and increase their exposure in the Google Play or App Store rankings. The research also claimed that whereas these fake apps charged users ranging from $10 per month to $70 per year, OpenAl's ChatGPT offers key functionality that could be used for free online. Another scam app named Genie lured users into subscribing for $7 weekly or $70 annually, generating $1 million in income over the previous month.

“Scammers have and always will use the latest trends or technology to line their pockets. ChatGPT is no exception," said Sean Gallagher, principal threat researcher, Sophos. "With interest in AI and chatbots arguably at an all-time high, users are turning to the Apple App and Google Play Stores to download anything that resembles ChatGPT. These types of scam apps—what Sophos has dubbed ‘fleeceware’—often bombard users with ads until they sign up for a subscription. They’re banking on the fact that users won’t pay attention to the cost or simply forget that they have this subscription. They’re specifically designed so that they may not get much use after the free trial ends, so users delete the app without realizing they’re still on the hook for a monthly or weekly payment."

While some of the bogus ChatGPT fleeceware have already been tracked and removed from the app stores, they are expected to resurface in the future. Hence, it is recommended for users to stay cautious of these fake apps, and make sure that the apps they are downloading are legitimate.

For users who have already download these apps are advised to follow protocols provided by the App Store or Google Play store on how to “unsubscribe,” since just deleting the bogus apps would not cancel one’s subscription.  

Hackers and Cybercriminals Use Dark Web Data to Train DarkBert AI


There is a paper released by a team of South Korean researchers describing how they developed a machine-learning model from a large dark web corpus collected by crawling Tor's network. It was obvious that there were many shady sites included in the data. These sites were from the crypto community, pornography, hackers, weapons, and other categories. Despite this, the team decided not to use the data in the manner it came due to ethical concerns. 

DarkBERT was trained with a pre-training corpus, which was polished through filtering before feeding to the model through dark learning so that sensitive data would not be included in training since bad actors could extract sensitive data from it.

Some think that DarkBERT would sound like a nightmare, but the researchers say that it is a promising project that will do more than help combat cybercrime; it will also contribute to the advancement of technology in the field, which has grown a lot through natural language processing.

The team used the Tor network to connect their model to the dark web by using the DarkBERT language model. This system allows access to the dark web without logging in. In the process, it created a raw database of the data it found and then put it into a search engine. 

There has been a recent explosion of large language models available in the marketplace, and more are appearing with each passing day. It is well known that most of the linguistic giants, such as OpenAI's ChatGPT and Google's Bard, are trained by examining text data from all over the internet including websites, articles, books, you name it   they train their new algorithms using that data. As such, their output consists of various geniuses that overlap. 

The researchers published a paper about their findings in the journal "DarkBERT: A Language Model for the Dark Side of the Internet." Using the Tor network as a launching point for their model, they collected raw data and created a database using the raw data collected. 

As of yet, no peer review has been conducted on this paper. DarkBERT is named after the LLM based on the Roberta architecture, which is where DarkBERT originated. Developed by Facebook researchers in 2019, this is an empirical model based on converters. 

The General Language Understanding Evaluation (GLUE) NLP benchmark produced state-of-the-art results due to Facebook's optimization method, as it is a benchmark that tests the general language understanding capabilities of NLP systems. 

Meta described Roberta as an "outstanding algorithm for pretraining natural language processing (NLP) systems that are robustly optimized", an improvement upon BERT, which Google released in 2018 for NLP pretraining. LLM was made open-source by Google, which led Meta to improve its performance. 

It has now been demonstrated that the South Korean researchers behind DarkBERT can accomplish even more because Roberta was released with inadequate training. Over 16 days, the researchers supplied Roberta with raw data from the dark web. They preprocessed data from the dark web and obtained DarkBERT from that information. 

They improved their original model by feeding Korean researchers dark web data over 15 days. This resulted in DarkBERT, an advanced research model. A top-level machine consisting of four NVIDIA A110 80GB GPUs and an Intel Xeon Gold 6348 CPU is included in the research paper as it is revealed that this machine was used to conduct the study.

How does DarkBERT work?

While DarkBERT's name may imply the opposite, DarkBERT is a system designed to protect and enforce the law. It is not intended to be used for evil purposes. 

Often, hackers and ransomware groups upload sensitive data to the dark web in hopes of selling it to other parties for profit. DarkBERT has been shown in a research paper to be useful to security researchers when it comes to automatically identifying such websites using automatic algorithms. In addition to crawling through the dark web forums, it can also be used to monitor any exchanges of illegal information that may be taking place on these forums. 

The public cannot access DarkBERT. DarkBERT was trained on sensitive data  but was not allowed to be released in its preprocessed form, which the researchers say is planned. However, they did not specify a date for when will it happen. 

It does not matter whether DarkBERT represents an artificial intelligence future where AI models are taught from targeted data so that they can be tailored to targeted tasks. As opposed to ChatGPT and Google Bard, both of which can perform multiple functions, DarkBERT is a weapon specifically designed for thwarting hackers and one that can be used by anyone. 

Even though there are numerous artificial intelligence chatbots out there, you need to be careful when using them. You may get a malware infection from fake ChatGPT applications or even risk exposing sensitive data like Samsung employees did recently. 

This is because when using these popular AI chatbots, you want to be sure you are getting to the right website, not just a random one. The software companies OpenAI, Microsoft, and Google have yet to release official apps for AI chatbots. This means you cannot use ChatGPT, Bing Chat, and Google Bard.

ClearML Launches First Generative AI Platform to Surpasses Enterprise ChatGPT Challenges


Earlier this week, ClearGPT, the first secure, industry-grade generative AI platform in the world, was released by ClearML, the leading open source, end-to-end solution for unleashing AI in the enterprise. Modern LLMs may be implemented and used in organisations safely and at scale thanks to ClearGPT. 

This innovative platform is designed to fit the specific needs of an organisation, including its internal data, special use cases, and business processes. It operates securely on its own network and offers full IP, compliance, and knowledge protection. 

With ClearGPT, businesses can use AI to drive innovation, productivity, and efficiency at a massive scale, as well as to develop new internal and external products faster, outsmart the competition, and generate new revenue streams. This allows them to capitalise on the creativity of ChatGPT-like LLMs. 

Many companies recognise ChatGPT's potential but are unable to utilise it within their own enterprise security boundaries due to its inherent limitations, including security, performance, cost, and data governance difficulties.

By solving the following corporate issues, ClearGPT eliminates these obstacles and dangers of utilising LLMs to spur business innovation. 

Security & compliance: Businesses rely on open APIs to access generative AI models and xGPT solutions, which exposes them to privacy risks and data leaks, jeopardising their ownership of intellectual property (IP) and highly sensitive data exchanged with third parties. You can maintain data security within your network using ClearGPT while having complete control and no data leakage. 

Performance and cost: ClearGPT offers enterprise customers unmatched model performance with live feedback and customisation at lower running costs than rival xGPT solutions, where GPT performance is a static black box. 

Governance: Other solutions can't be used to limit access to sensitive information within an organisation. Using role-based access, data governance across business units, and ClearGPT, you can uphold privacy and access control within the company while still adhering to legal requirements. 

Data: Avoid letting xGPT solutions possess or divulge your company's data to rivals. With ClearGPT's comprehensive corporate IP protection, you can preserve company knowledge, produce AI models, and keep your competitive edge. 

Customization and flexibility: These two features are lacking in other xGPT solutions. Gain unrivalled capabilities with human reinforcement feedback loops and constant fresh data, giving AI that entirely ignores model and multimodal bias while learning and adapting to each enterprise's unique DNA. Businesses may quickly adapt and employ any open-source LLM with the help of ClearGPT. 

Enterprises can now explore, generate, analyse, search, correlate, and act upon predictive business information (internal and external data, benchmarks, and market KPIs) in a way that is safer, more legal, more efficient, more natural, and more effective than ever before with the help of ClearGPT. Enjoy an out-of-the-box platform for enterprise-grade LLMs that is independent of the type of model being used, without the danger of costly, time-consuming maintenance. 

“ClearGPT is designed for the most demanding, secure, and compliance-driven enterprise environments to transform their AI business performance, products, and innovation out of the box,” stated Moses Guttmann, Co-founder and CEO of ClearML. “ClearGPT empowers your existing enterprise data engineering and data science teams to fully utilize state-of-the-art LLM models agnostically, removing vendor lock-ins; eliminating corporate knowledge, data, and IP leakage; and giving your business a competitive advantage that fits your organization’s custom AI transformation needs while using your internal enterprise data and business insights.”

Generative AI Empower Users, But it May Challenge Security

With the easy-going creation of new applications and automation in recent years, low-code/ no code has been encouraging business partakers to deal with their requirements on their own, without depending on the IT. 

The power of generative AI, which has caught the attention and mindshare of the business and its customers, both increases the power as the entry barrier is virtually eliminated. Generative AI is integrated into low-code/no-code, accelerating the business' independence. Today, everyone is a developer, without a doubt. However, are we ready for the risks that follow? 

Business professionals began utilizing ChatGPT and other generative AI tools in an enterprise setting as soon as they were made available in order to complete their tasks more quickly and effectively. For marketing directors, generative AI creates PR pitches; for sales representatives, it creates emails for prospecting. Business users have already incorporated it into their daily operations, despite the fact that data governance and legal concerns have surfaced as barriers to official company adoption.

With tools like GitHub Copilot, developers have been leveraging generative AI to write and enhance code. A developer uses natural language to describe a software component, and AI then generates working code that makes sense in the developer's context. 

The developer's participation in this process is essential since they must carry the technical knowledge to ask the proper questions, assess the software that is produced, and integrate it with the rest of the code base. These duties call for expertise in software engineering.

Accept and Manage the Security Risk

Traditionally, security teams have focused on the applications created by their development organizations. However, users still fall prey to believing that these innovative business platforms are a ready-made solution, where in actual sense they have become application development platforms that power many of our business-critical applications. Bringing citizen developers within the security umbrella is still a work in progress.

With the growing popularity of generative AI, even more users will be creating applications. Business users are already having discussions about where data is stored, how their apps handle it, and who can access it. Errors are inevitable if we leave the new developers to make these decisions on their own without providing any kind of guidance.

Some organizations aim to ban citizen development or demand that commercial users obtain permission before using any applications or gaining access to any data. That is a sensible response, however, given the enormous productivity gains for the company, one may find it hard to believe it would be successful. A preferable strategy would be to establish automatic guardrails that silently address security issues and give business users a safe method to employ generative AI through low-code/no-code, allowing them to focus on what they do best: push the business forward. 

Here's How ChatGPT is Charging the Landscape of Cyber Security


Security measures are more important than ever as the globe gets more interconnected. Organisations are having a difficult time keeping up with the increasingly sophisticated cyberattacks. Artificial intelligence (AI) is now a major player in such a situation. ChatGPT, a language paradigm that is revolutionising cybersecurity, is one of the most notable recent developments in this field. In the cybersecurity sector, AI has long been prevalent. The future, however, is being profoundly impacted by generative AI and ChatGPT. 

The five ways that ChatGPT is fundamentally altering cybersecurity are listed below. 

Improved threat detection 

With the use of ChatGPT's natural language processing (NLP) capabilities, an extensive amount of data, such as security logs, network traffic, and user activity, can be analysed and comprehended. ChatGPT can identify patterns and anomalies that can point to a cybersecurity issue using machine learning algorithms, assisting security teams in thwarting assaults before they take place. 

Superior incident response 

Time is crucial when a cybersecurity problem happens. Organisations may be able to react to threats more rapidly and effectively because to ChatGPT's capacity to handle and analyse massive amounts of data properly and swiftly. For instance, ChatGPT can assist in determining the main reason for a security breach, offer advice on how to stop the assault, and make recommendations on how to avoid future occurrences of the same thing. 

Security operations automation

In order to free up security professionals to concentrate on more complicated problems, ChatGPT can automate common security tasks like patch management and vulnerability detection. In addition to increasing productivity, this lowers the possibility of human error.

Improved threat intelligence

To stay one step ahead of cybercriminals, threat intelligence is essential. Organisations may benefit from ChatGPT's capacity to swiftly and precisely detect new risks and vulnerabilities by using its ability to evaluate enormous amounts of data and spot trends. This can assist organisations in more effectively allocating resources and prioritising their security efforts.

Proactive threat assessment 

Through data analysis and pattern recognition, ChatGPT can assist security teams in spotting possible threats before they become serious problems. Security teams may then be able to actively look for dangers and take action before they have a chance to do much harm.

Is there an opposite side? 

In order to create more sophisticated social engineering or phishing assaults, ChatGPT can have an impact on the cybersecurity landscape. Such assaults are used to hoodwink people into disclosing private information or performing acts that could jeopardise their security. AI language models like ChatGPT have the potential to be utilised to construct more convincing and successful phishing and social engineering assaults since they can produce persuasive and natural-sounding language. 

Bottom line

ChatGPT is beginning to show tangible advantages as well as implications in cybersecurity. Although technology has the potential to increase security, it also presents new problems and hazards that need to be dealt with. Depending on how it is applied and incorporated into different cybersecurity systems and procedures, it will have an impact on the cybersecurity landscape. Organisations can protect their sensitive data and assets and stay one step ahead of cyberthreats by utilising the potential of AI. We can anticipate seeing ChatGPT and other AI tools change the cybersecurity scene in even more ground-breaking ways as technology advances.

Google's Search Engine Received AI Updates


Microsoft integrated GPT-4 into Bing earlier this year, complementing the previous development. Google's CEO, Sundar Pichai, recently announced that the company would completely reimagine how all of its core products, including search, are implemented. To ensure the success of this system, only a limited number of users will be able to use it while it is still in an experimental phase. 

With advances in artificial intelligence, Alphabet Inc (GOOGL.O) is rolling out some new features to its core search engine so that it can capture some of the consumer excitement generated recently by Microsoft Corp (MSFT.O) upgrading its rival search engine, Bing. 

This week, Google, at its annual developer conference in Mountain View, California, announced that it would offer a new version of its name-brand search engine. With the Search Generative Experience, Google has reinvented the way it responds to inquiries by allowing users to create their responses without sacrificing a list of links to Web sites that people know. 

Three months ago, Microsoft's Bing search engine began incorporating technology similar to the one that powers ChatGPT into its search engine, which is gradually changing Google's search engine's operation. 

It has been 16 years since Apple released the first iPhone. Despite ten years passing, the AI chatbot has become one of Silicon Valley's biggest buzz items. 

This previously unavailable product, which relies upon generative AI technology, which also powers ChatGPT, has been available exclusively to people on a waitlist who have been accepted for the service. 

As of this summer,  a capability for “unknown tracker alerts” is expected to be available. A few days ago, Apple and Google announced that they were going to work on resolving the problem together, leading to the development of this matter. Apple was sued by two women for stalking in the previous year after the women complained that AirTag was being used against them. 

Google announced the announcement at its annual developer conference. The tech giant demonstrated the latest advancements in artificial intelligence as well as available new hardware products. There was also an announcement that they are adding the ability to open and close a phone like a book for $1,799 (£1,425). 

A few months ago, OpenAI, a Silicon Valley startup, introduced the darling chatbot of Silicon Valley, ChatGPT. This soon sparked furious competition among competitors for funding supplies. Google's foray into generative artificial intelligence comes following OpenAI's ChatGPT. Using AI legacy data, it is possible to create original content such as text, images, and software codes using the generational AI engine. 

In the last few years, open AI, which has received billions of dollars from Microsoft and is now integrated into Bing search, has become the premier option for users who want generative AI, which can generate term papers, contracts, itinerary details, and even novels from scratch.

In recent years, Google has become the most powerful portal to the internet over the past few years, but as rivals have taken advantage of the technology, Google had to step back. There is a lot at stake here, especially for Google's share of what is estimated this year to be a staggering $286 billion pie in the huge world of online advertising. 

Since Microsoft launched its chatbot ChatGPT, Google has been under pressure to improve its artificial intelligence offerings due to its success. As a result of Bard's incorrect response, Google's previous attempts to demonstrate its expertise in the field failed to demonstrate its competence as a whole. Microsoft has invested a lot in OpenAI, which is the technology behind ChatGPT. It uses it to integrate ChatGPT into its search engine, Bing. Baidu, the Chinese tech behemoth, has added another chatbot to its arsenal - one named Ernie - that he intends to use against its competitors. 

Google remains an industry leader, according to Chirag Dekate, an analyst at Gartner and he is confident that the company will be able to take advantage of the renewed interest in artificial intelligence. It remains to be seen, however, whether Google can dominate the AI wars anytime soon.

Protecting Your Privacy on ChatGPT: How to Change Your Settings

OpenAI's ChatGPT is an advanced AI language model that has been trained on vast amounts of text data from the internet. However, recent concerns have arisen regarding data privacy and the use of personal data by AI models like ChatGPT. As more people become aware of the potential risks, there has been a growing demand for more control over data privacy. 

In response to these concerns, OpenAI has recently announced new ways to manage your data in ChatGPT. These changes aim to give users more control over how their data is used by the AI model. However, it is important to take action immediately to protect your data and privacy.

According to a recent article on BGR, users can take the following steps to prevent their data from training OpenAI:
  1. Go to the ChatGPT settings page.
  2. Scroll down to the 'Data' section.
  3. Click on 'Delete all my data.'
By deleting your data, you prevent OpenAI from using it to train ChatGPT. It is important to note that this action will not delete any messages you have sent or received, only the data used to train the AI model.

In addition to this, TechCrunch has also provided some useful advice to protect your data from ChatGPT. They recommend turning off the 'Training' feature, which allows ChatGPT to continue training on new data even after you have deleted your old data.

OpenAI has also introduced new features that allow users to choose how their data is used. For example, users can choose to opt out of certain types of data collection or only allow their data to be used for specific purposes.

It is crucial to be aware of the risks associated with AI language models and take necessary measures to protect your data privacy. By following the steps mentioned above, you can ensure that your data is not being used to train ChatGPT without your consent.

ChatGPT Privacy Concerns are Addressed by PrivateGPT


Specificity and clarity are the two key ingredients in creating a successful ChatGPT prompt. Your prompt needs to be specific and clear to ensure the most effective response from the other party. For creating effective and memorable prompts, here are some tips: 

An effective prompt must convey your message in a complete sentence that identifies what you want. If you want to avoid vague and ambiguous responses, avoid phrases or incomplete sentences. 

A more specific description of what you're looking for will increase your chances of getting a response according to what you're looking for, so the more specific you are, the better. The words "something" or "anything" should be avoided in your prompts as much as possible. The most efficient way to accomplish what you want is to be specific about it. 

ChatGPT must understand the nature of your request and convey it in such a way. This is so that ChatGPT can be viewed as the expert in the field you seek advice. As a result of this, ChatGPT will be able to understand your request much better and provide you with helpful and relevant responses.

In the AI chatbot industry and business in general as well, the ChatGPT model, released by OpenAI, appears to be a game-changer for the AI industry and business.

In the chat process, PrivateGPT sits at the center and removes all personally identifiable information from user prompts. This includes health information and credit card data, as well as contact information, dates of birth, and Social Security numbers. It is delivered to ChatGPT. To make the experience for users as seamless as possible, PrivateGPT works with ChatGPT to re-populate the PII within the answer, according to a statement released this week by Private AI, the creator of PrivateGPT.

It is worth remembering however that ChatGPT is the first of a new era for chatbots. Several questions and responses were answered, software code was generated, and programming prompts were fixed. It demonstrated the power of artificial intelligence technology.

Use cases and benefits will be numerous. The GDPR does bring with it many challenges and risks related to privacy and data security, particularly as it pertains to the EU. 

A data privacy company Private AI announced that PrivateGPT is a "privacy layer" used as a security layer for large language models (LLMs) like OpenAI's ChatGPT. The updated version automatically redacts sensitive information and personally identifiable information (PII) users give out while communicating with AI. 

By using its proprietary AI system PrivateAI is capable of deleting more than 50 types of PII from user prompts before submitting them to ChatGPT, which is administered by Atomic Inc. OpenAI is repopulated with placeholder data to allow users to query the LLM without revealing sensitive personal information to it.    

ChatGPT: A Threat to Privacy?


Despite being a powerful and innovative AI chatbot that has quickly drawn several people's attention, ChatGPT has some serious pitfalls that seem to be hidden behind its impressive features. 

For any question you ask it, it will be able to provide you with an answer that sounds like it was written by a human, as it has been trained on massive amounts of data from across the net to gain the knowledge and writing skills necessary to provide answers that sound like they were created by humans. 

There is no denying that time is money, and chatbots such as ChatGPT and Bing Chat have become invaluable tools for people. Computers write codes, analyze long emails, and even find patterns in large amounts of data with thousands of fields. 

This chatbot has astonished its users with some of its exciting features and is one of the most brilliant inventions of Open AI. ChatGPT can be used by creating an account on their website for the first time. In addition to being a safe and reliable tool, it is also extremely easy to use. 

However, many users have questions about chatbot accessibility to the user's data. OpenAI saves OpenGPT conversations for future analysis, along with the openings. The company has published a FAQ page where its employees can selectively review selected chats to ensure their safety, according to the FAQ page. 

You should not assume that anything you say to ChatGPT will remain confidential or private after sharing. OpenAI discovered a critical bug that has prompted a terrible security issue. 

OpenAI CEO Sam Altman stated that some users could view the titles of other users' conversations on a lesser percentage of occasions. Altman says the bug (now fixed) resides in a library accessible via an open-source repository. A detailed report will be released by the company later as the company feels "terribly about this." 

The outage tracker Downdetector highlights that the platform suffered a brief outage before the company disabled chat history. As per Downdetector's outage map, some users could not access the AI-powered chatbot at midnight on March 23. 

It was designed to synthesize natural-sounding human language through a large language model called ChatGPT. ChatGPT works like a conversation with a person. When you speak to ChatGPT, it can listen to what you say and correct itself when it gets wrong. This is just like when you speak with someone. 

After a short period, ChatGPT will automatically delete your session logs that are saved by ChatGPT. 

When you create an account with ChatGPT, the service collects your personal information. It contains personal information such as your name, email address, telephone number, and payment information. 

Whenever an individual user registers with ChatGPT, the data associated with that user's account is saved. By encrypting this data, the company ensures it stays safe and only retains it if it is needed to meet business or legal requirements. 

The ChatGPT privacy policy explains, though, that even though encryption methods may not always be completely secure, this may not be the case. Users should be aware of this when sharing their personal information on a website like this. 

It is suggested in OpenAI's FAQ that users should not "share any sensitive information in your conversations" because OpenAI cannot delete specific prompts from the history of your conversations. Additionally, ChatGPT is not connected to the Internet, and the results may sometimes be incorrect because it cannot access the Internet directly. 

It has been a remarkable journey since ChatGPT was launched last year and has seen rapid growth since then. Additionally, the AI-powered chatbot is one of the fastest-growing platforms out there.

Reports claim that ChatGPT had 13.2 million users in January, according to a report on the service. ChatGPT's website says these gains are due to impressive performance, a simple interface, and free access. Those who wish for improved performance can subscribe for a monthly fee. 

Upon clearing the ChatGPT data and eliminating the ChatGPT conversations, OpenAI will delete all of your ChatGPT data. It will permanently remove it from their servers. 

This process is likely to take between one and two weeks, but please remember that it can take longer. It is also possible to send a request to delete your account to if you would rather not log in or visit the help section of the website.

OpenAI's Insatiable Need for Data is Coming Back to Harm it


Following a temporary ban in Italy and a spate of inquiries in other EU nations, OpenAI has just over a week to comply with European data protection regulations. If it fails, it may be fined, forced to destroy data, or even banned. However, experts have told MIT Technology Review that OpenAI will be unable to comply with the standards. 

This is due to the method through which the data used to train its AI models was gathered: by scraping information from the internet. The mainstream idea in AI development is that the more training data there is, the better. The data set for OpenAI's GPT-2 model was 40 terabytes of text. GPT-3, on which ChatGPT is based, was trained on 570 GB of data. OpenAI has not shared how big the data set for its latest model, GPT-4, is.

However, the company's desire for larger models is now coming back to haunt it. Several Western data protection agencies have begun inquiries into how OpenAI obtains and analyses the data that powers ChatGPT in recent weeks. They suspect it scraped personal information from people, such as names and email addresses, and utilized it without their permission. 

As a precaution, the Italian authorities have restricted the use of ChatGPT, while data regulators in France, Germany, Ireland, and Canada are all looking into how the OpenAI system collects and utilizes data. The European Data Protection Board, the umbrella organization for data protection agencies, is also forming an EU-wide task force to coordinate investigations and enforcement in the context of ChatGPT. 

The Italian government has given OpenAI until April 30 to comply with the rules. This would imply that OpenAI would need to obtain authorization from individuals before scraping their data, or demonstrate that it had a "legitimate interest" in acquiring it. OpenAI will also have to explain to users how ChatGPT utilizes their data and provide them the ability to correct any errors the chatbot makes about them, have their data destroyed if they wish, and object to the computer program using it. 

If OpenAI is unable to persuade authorities that its data-use practices are legal, it may be prohibited in individual nations or possibly the entire European Union. It may also face substantial penalties and be compelled to erase models and the data used to train them, says Alexis Leautier, an AI expert at the French data protection agency CNIL.

Game of high stakes

The stakes for OpenAI could not be higher. The EU's General Data Protection Regulation is the harshest data protection system in the world, and it has been widely copied around the world. Regulators from Brazil to California will be watching closely what happens next, and the outcome could profoundly transform the way AI businesses collect data. 

In addition to being more transparent about its data practices, OpenAI will have to demonstrate that it is collecting training data for its algorithms in one of two legal ways: consent or "legitimate interest." 

It appears unlikely that OpenAI will be able to claim that it obtained people's permission for collecting their data. That leaves the argument that it had a "legitimate interest" in doing so. According to Edwards, this will likely need the corporation making a compelling case to regulators about how critical ChatGPT is in order to legitimize data collecting without consent. 

According to MIT Review, OpenAI thinks it conforms with privacy rules, and it strives to delete personal information from training data upon request "where feasible."  As per the firm its models are trained using publicly available content, licenced content, and content created by human reviewers. But that's too low a hurdle for the GDPR. 

“The US has a doctrine that when stuff is in public, it's no longer private, which is not at all how European law works,” says Edwards. The GDPR gives people rights as “data subjects,” such as the right to be informed about how their data is collected and used and to have their data removed from systems, even if it was public in the first place. 

Looking for a needle in a haystack

Another issue confronts OpenAI. According to the Italian regulator, OpenAI is not being upfront about how it obtains data from users during the post-training phase, such as in chat logs of their interactions with ChatGPT.  As stated by Margaret Mitchell, an AI researcher and chief ethical scientist at startup Hugging Face who was previously Google's AI ethics co-lead, identifying individuals' data and removing it from its models will be nearly impossible for OpenAI. 

She claims that the corporation might have avoided a major difficulty by incorporating robust data record-keeping from the outset. Instead, in the AI sector, it is typical to construct data sets for AI models by indiscriminately scanning the web and then outsourcing the labour of deleting duplicates or irrelevant data points, filtering undesired stuff, and repairing mistakes. Because of these methodologies, as well as the sheer magnitude of the data collection, tech companies typically have a very limited grasp of what went into training their models. 

Finding Italian data in ChatGPT's massive training data set will be like looking for a needle in a haystack. Even if OpenAI is successful in erasing users' data, it is unclear whether this is a permanent step. According to studies, data sets can be found on the internet long after they have been destroyed since copies of the original can be found.

“The state of the art around data collection is very, very immature,” says Mitchell. That’s because tons of work has gone into developing cutting-edge techniques for AI models, while data collection methods have barely changed in the past decade.

In the AI community, work on AI models is overemphasized at the expense of everything else, says Sambasivan. “Culturally, there’s this issue in machine learning where working on data is seen as silly work and working on models is seen as real work,” Mitchell agrees.

ChatGPT may be Able to Forecast Stock Movements, Finance Professor Demonstrates


In the opinion of Alejandro Lopez-Lira, a finance professor at the University of Florida, huge language models could be effective for forecasting stock values. He utilized ChatGPT to interpret news headlines to determine if they were positive or negative for a stock, and discovered that ChatGPT's ability to forecast the direction of the next day's returns was substantially better than random, he said in a recent unreviewed work. 

The experiment gets to the heart of the promise of cutting-edge artificial intelligence: These AI models may exhibit "emergent abilities," or capabilities that were not originally envisaged when they were constructed, with larger computers and better datasets, such as those powering ChatGPT.

If ChatGPT demonstrates an emerging capacity to interpret headlines from financial news and how they may affect stock prices, it may jeopardize high-paying positions in the finance industry. Goldman Sachs forecast in a March 26 paper that AI could automate 35% of finance jobs.

“The fact that ChatGPT is understanding information meant for humans almost guarantees if the market doesn’t respond perfectly, that there will be return predictability,” said Lopez-Lira.

However, the experiment's specifics demonstrate how distant "large language models" are from being capable of doing many banking jobs. The experiment, for example, did not include target pricing or require the model to perform any math at all. Indeed, as Microsoft discovered during a public demo earlier this year, ChatGPT-style technology frequently invents numbers. Sentiment analysis of headlines is also widely used as a trading strategy, employing proprietary algorithms.

Lopez-Lira was shocked by the findings, which he believes indicate that professional investors aren't yet incorporating ChatGPT-style machine learning into their trading tactics.

“On the regulation side, if we have computers just reading the headlines, headlines will matter more, and we can see if everyone should have access to machines such as GPT,” said Lopez-Lira. “Second, it’s certainly going to have some implications on the employment of financial analyst landscape. The question is, do I want to pay analysts? Or can I just put textual information in a model?”

How did the experiment work?

Lopez-Lira and his colleague Yuehua Tang examined over 50,000 headlines from a data vendor on public equities on the New York Stock Exchange, Nasdaq, and a small-cap exchange in the experiment. They began in October 2022, after the ChatGPT data cutoff date, implying that the engine had not seen or used such headlines in training.

The headlines were then sent into ChatGPT 3.5, along with the following prompt: “Forget all your previous instructions. Pretend you are a financial expert. You are a financial expert with stock recommendation experience. Answer “YES” if good news, “NO” if bad news, or “UNKNOWN” if uncertain in the first line. Then elaborate with one short and concise sentence on the next line.”

They then examined the equities' performance on the following trading day. Finally, Lopez-Lira discovered that when informed by a news headline, the model performed better in almost all circumstances. He discovered a less than 1% chance that the model would do as well picking the next day's move at random as it did when influenced by a news article.

ChatGPT also outperformed commercial datasets with human sentiment scores. According to the researchers, one example in the paper displayed a headline about a corporation settling litigation and paying a fine, which had a bad attitude, but the ChatGPT reaction correctly reasoned it was actually positive news.

According to Lopez-Lira, hedge funds have approached him to learn more about his findings. He also stated that he would not be surprised if ChatGPT's capacity to anticipate stock movements declined in the future months if institutions began to integrate this technology.

This is because the experiment only looked at stock prices the next trading day, although most people would expect the market to have priced the news seconds after it became public.

“As more and more people use these type of tools, the markets are going to become more efficient, so you would expect return predictability to decline,” Lopez-Lira said. “So my guess is, if I run this exercise, in the next five years, by the year five, there will be zero return predictability.”

Auditing Algorithms for Responsible AI


As artificial intelligence (AI) systems continue to advance, the need for responsible AI has become increasingly important. The latest iteration of the GPT series, GPT-4, is expected to be even more powerful than its predecessor, GPT-3, and this has raised concerns about the potential risks of AI beyond human control.

One solution to address these concerns is algorithm auditing. This involves reviewing and testing the algorithms used in AI systems to ensure they are operating as intended and not producing unintended consequences. This approach is particularly relevant for large-scale AI systems like GPT-4, which could have a significant impact on society.

The use of algorithm auditing can help to identify potential vulnerabilities in AI systems, such as bias or discrimination, and enable developers to take corrective actions. It can also help to build trust among users and stakeholders by demonstrating that AI is being developed and deployed in a responsible manner.

However, algorithm auditing is not without its challenges. As AI systems become more complex and sophisticated, it can be difficult to identify all potential risks and unintended consequences. Moreover, auditing can be time-consuming and expensive, which can be a barrier for small companies or startups.

Despite these challenges, the importance of responsible AI cannot be overstated. The potential impact of AI on society is vast, and it is crucial that AI systems are developed and deployed in a way that is ethical and beneficial to all. Algorithm auditing is one step in this process, but it is not the only solution. Other approaches, such as the development of explainable AI, are also necessary to ensure that AI systems are transparent and understandable to all.

The creation of AI systems like GPT-4 marks a crucial turning point for the discipline. However to reduce these dangers, ethical AI methods like algorithm audits must be used, as well as thorough consideration of the potential risks of such systems. We can make sure AI serves society and does not cause harm by approaching AI development in a proactive and responsible manner.

ChatGPT's Cybersecurity Threats and How to Mitigate Them


The development of ChatGPT (Generative Pre-trained Transformer) technology marks the beginning of a new age in communication. This ground-breaking technology provides incredibly personalised interactions that can produce responses in natural language that are adapted to the user's particular context and experience. 

Despite the fact that this technology is extremely strong, it also poses serious cybersecurity threats that must be addressed in order to safeguard consumers and their data. In this article, we'll cover five of ChatGPT's most prevalent cybersecurity issues as well as some top security tips. 

Data leak 

When using ChatGPT technology, data leakage is a common worry. Data from ChatGPT systems can be exposed or stolen with ease, whether it's because of poor configuration or criminal actors. Strong access controls must be put in place to ensure that only authorised users have access to the system and its resources in order to guard against this threat. For the purpose of quickly identifying any suspect behaviour or incidents, regular monitoring of all system activities is also necessary. 

Finally, creating frequent backups of all the data kept in the system will guarantee that, even if a breach does happen, you can still swiftly retrieve any lost data. Users may be exposed to attacks if an interface is insecure. Ensure your ChatGPT platform's front end is safe and consistently updated with the most recent security updates to mitigate this risk. 

Bot hack 

A bot takeover occurs when a malicious actor manages to take over ChatGPT and exploit it for their own ends. It is possible to accomplish this by either guessing the user's password or by taking advantage of code weaknesses. While ChatGPT bots are excellent for automating specific tasks, they can also be used as a point of entry by remote attackers to take over the bots. Strong authentication procedures and regular software patching are crucial for system security in order to guard against this threat. 

For instance, to keep your passwords secure, you should frequently update them and utilise multi-factor authentication wherever available. Additionally, it's critical to stay up to current on security patches and fix any newly identified software vulnerabilities. 

Unapproved access

Install security features like strong password requirements and two-factor authentication to ensure that only authorised users may access the system. Because of ChatGPT's highly developed phishing capabilities, this is particularly crucial. Consider a scenario where you are utilising ChatGPT to communicate with your clients and one of them unintentionally clicks on a malicious link. 

Once inside the system, the attacker might do harm or take the information. You can lessen the possibility of this happening by forcing all users to use strong passwords and two-factor authentication. To make sure no unauthorised users are accessing the system, you should also routinely audit user accounts. 

Limitations and information overload

Some systems might be unable to handle the strain at times due to the sheer volume of information that ChatGPT generates. Make certain your system has the resources to handle high traffic volumes without becoming overloaded. As a further option for assisting in the management of the data overload problem, think about applying analytics tools and other artificial intelligence technology. 

Privacy & confidentiality issues  

Systems using ChatGPT may not be sufficiently secured, making them susceptible to privacy and confidentiality problems. Be careful to encrypt any sensitive data being stored on the server and to utilise a secure communication protocol (SSL/TLS) in order to guarantee that user data remains private. Set up restrictions on who can access and use the data as well, for example, by making access requests subject to user authentication. 

Bottom line 

There are many other hazards that must be considered when creating or utilising this kind of platform; these are only some of the most prevalent cyber security risks related to ChatGPT technology. 

Working with a knowledgeable group of cybersecurity experts may ensure that all possible risks are dealt with before they become a problem. To keep your data secure and safeguard your company's reputation, you must invest in reliable cybersecurity solutions. Future time and money can be saved by taking the required actions today.