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Technology
AI technology AI tools Generative AI generative AI tools innovative features Technology

What AI Can Do Today? The latest generative AI tool to find the perfect AI solution for your tasks

 

Generative AI tools have proliferated in recent times, offering a myriad of capabilities to users across various domains. From ChatGPT to Microsoft's Copilot, Google's Gemini, and Anthrophic's Claude, these tools can assist with tasks ranging from text generation to image editing and music composition.
 
The advent of platforms like ChatGPT Plus has revolutionized user experiences, eliminating the need for logins and providing seamless interactions. With the integration of advanced features like Dall-E image editing support, these AI models have become indispensable resources for users seeking innovative solutions. 

However, the sheer abundance of generative AI tools can be overwhelming, making it challenging to find the right fit for specific tasks. Fortunately, websites like What AI Can Do Today serve as invaluable resources, offering comprehensive analyses of over 5,800 AI tools and cataloguing over 30,000 tasks that AI can perform. 

Navigating What AI Can Do Today is akin to using a sophisticated search engine tailored specifically for AI capabilities. Users can input queries and receive curated lists of AI tools suited to their requirements, along with links for immediate access. 

Additionally, the platform facilitates filtering by category, further streamlining the selection process. While major AI models like ChatGPT and Copilot are adept at addressing a wide array of queries, What AI Can Do Today offers a complementary approach, presenting users with a diverse range of options and allowing for experimentation and discovery. 

By leveraging both avenues, users can maximize their chances of finding the most suitable solution for their needs. Moreover, the evolution of custom GPTs, supported by platforms like ChatGPT Plus and Copilot, introduces another dimension to the selection process. These specialized models cater to specific tasks, providing tailored solutions and enhancing efficiency. 

It's essential to acknowledge the inherent limitations of generative AI tools, including the potential for misinformation and inaccuracies. As such, users must exercise discernment and critically evaluate the outputs generated by these models. 

Ultimately, the journey to finding the right generative AI tool is characterized by experimentation and refinement. While seasoned users may navigate this landscape with ease, novices can rely on resources like What AI Can Do Today to guide their exploration and facilitate informed decision-making. 

The ecosystem of generative AI tools offers boundless opportunities for innovation and problem-solving. By leveraging platforms like ChatGPT, Copilot, Gemini, Claude, and What AI Can Do Today, users can unlock the full potential of AI and harness its transformative capabilities.
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generative AI tools
2023 Global Threat Report AI tools Artifical Intelligence Cyber Security generative AI tools

Five Ways the Internet Became More Dangerous in 2023

The emergence of cyber dangers presents a serious threat to people, companies, and governments globally at a time when technical breakthroughs are the norm. The need to strengthen our digital defenses against an increasing flood of cyberattacks is highlighted by recent events. The cyber-world continually evolves, requiring a proactive response, from ransomware schemes to DDoS attacks.

1.SolarWinds Hack: A Silent Intruder

The SolarWinds cyberattack, a highly sophisticated infiltration, sent shockwaves through the cybersecurity community. Unearthed in 2021, the breach compromised the software supply chain, allowing hackers to infiltrate various government agencies and private companies. As NPR's investigation reveals, it became a "worst nightmare" scenario, emphasizing the need for heightened vigilance in securing digital supply chains.

2. Pipeline Hack: Fueling Concerns

The ransomware attack on the Colonial Pipeline in May 2021 crippled fuel delivery systems along the U.S. East Coast, highlighting the vulnerability of critical infrastructure. This event not only disrupted daily life but also exposed the potential for cyber attacks to have far-reaching consequences on essential services. As The New York Times reported, the incident prompted a reassessment of cybersecurity measures for critical infrastructure.

3. MGM and Caesar's Palace: Ransomware Hits the Jackpot

The gaming industry fell victim to cybercriminals as MGM Resorts and Caesar's Palace faced a ransomware attack. Wired's coverage sheds light on how these high-profile breaches compromised sensitive customer data and underscored the financial motivations driving cyber attacks. Such incidents emphasize the importance of robust cybersecurity measures for businesses of all sizes.

4.DDoS Attacks: Overwhelming the Defenses

Distributed Denial of Service (DDoS) attacks continue to be a prevalent threat, overwhelming online services and rendering them inaccessible. TheMessenger.com's exploration of DDoS attacks and artificial intelligence's role in combating them highlights the need for innovative solutions to mitigate the impact of such disruptions.

5. Government Alerts: A Call to Action

The Cybersecurity and Infrastructure Security Agency (CISA) issued advisories urging organizations to bolster their defenses against evolving cyber threats. CISA's warnings, as detailed in their advisory AA23-320A, emphasize the importance of implementing best practices and staying informed to counteract the ever-changing tactics employed by cyber adversaries.

The recent cyberattack increase is a sobering reminder of how urgently better cybersecurity measures are needed. To keep ahead of the always-changing threat landscape, we must use cutting-edge technologies, modify security policies, and learn from these instances as we navigate the digital landscape. The lessons learned from these incidents highlight our shared need to protect our digital future.

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Technology
Adversarial attacks AI tools Artificial Intelligence Neural Networks Technology

AI Tools are Quite Susceptible to Targeted Attacks

 

Artificial intelligence tools are more susceptible to targeted attacks than previously anticipated, effectively forcing AI systems to make poor choices.

The term "adversarial attacks" refers to the manipulation of data being fed into an AI system in order to create confusion in the system. For example, someone might know that putting a specific type of sticker at a specific spot on a stop sign could effectively make the stop sign invisible to an AI system. Hackers can also install code on an X-ray machine that alters image data, leading an AI system to make inaccurate diagnoses. 

“For the most part, you can make all sorts of changes to a stop sign, and an AI that has been trained to identify stop signs will still know it’s a stop sign,” stated Tianfu Wu, coauthor of a paper on the new work and an associate professor of electrical and computer engineering at North Carolina State University. “However, if the AI has a vulnerability, and an attacker knows the vulnerability, the attacker could take advantage of the vulnerability and cause an accident.”

Wu and his colleagues' latest study aims to determine the prevalence of adversarial vulnerabilities in AI deep neural networks. They discover that the vulnerabilities are far more common than previously believed. 

What's more, we found that attackers can take advantage of these vulnerabilities to force the AI to interpret the data to be whatever they want. Using the stop sign as an example, you could trick the AI system into thinking the stop sign is a mailbox, a speed limit sign, a green light, and so on, simply by using slightly different stickers—or whatever the vulnerability is, Wu added. 

This is incredibly important, because if an AI system is not dependable against these sorts of attacks, you don't want to put the system into operational use—particularly for applications that can affect human lives.

The researchers created a piece of software called QuadAttacK to study the sensitivity of deep neural networks to adversarial attacks. The software may be used to detect adversarial flaws in any deep neural network. 

In general, if you have a trained AI system and test it with clean data, the AI system will behave as expected. QuadAttacK observes these activities to learn how the AI makes data-related judgements. This enables QuadAttacK to figure out how the data can be modified to trick the AI. QuadAttack then starts delivering altered data to the AI system to observe how it reacts. If QuadAttacK discovers a vulnerability, it can swiftly make the AI see whatever QuadAttacK desires. 

The researchers employed QuadAttacK to assess four deep neural networks in proof-of-concept testing: two convolutional neural networks (ResNet-50 and DenseNet-121) and two vision transformers (ViT-B and DEiT-S). These four networks were picked because they are widely used in AI systems across the globe. 

“We were surprised to find that all four of these networks were very vulnerable to adversarial attacks,” Wu stated. “We were particularly surprised at the extent to which we could fine-tune the attacks to make the networks see what we wanted them to see.” 

QuadAttacK has been made accessible by the research team so that the research community can use it to test neural networks for shortcomings. 
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UK Government
AI regulation AI technology AI tools Artificial Intelligence Cyber Security ethical AI NATO UK Government

Navigating Ethical Challenges in AI-Powered Wargames

The intersection of wargames and artificial intelligence (AI) has become a key subject in the constantly changing field of combat and technology. Experts are advocating for ethical monitoring to reduce potential hazards as nations use AI to improve military capabilities.

The NATO Wargaming Handbook, released in September 2023, stands as a testament to the growing importance of understanding the implications of AI in military simulations. The handbook delves into the intricacies of utilizing AI technologies in wargames, emphasizing the need for responsible and ethical practices. It acknowledges that while AI can significantly enhance decision-making processes, it also poses unique challenges that demand careful consideration.

The integration of AI in wargames is not without its pitfalls. The prospect of autonomous decision-making by AI systems raises ethical dilemmas and concerns about unintended consequences. The AI Safety Summit, as highlighted in the UK government's publication, underscores the necessity of proactive measures to address potential risks associated with AI in military applications. The summit serves as a platform for stakeholders to discuss strategies and guidelines to ensure the responsible use of AI in wargaming scenarios.

The ethical dimensions of AI in wargames are further explored in a comprehensive report by the Centre for Ethical Technology and Artificial Intelligence (CETAI). The report emphasizes the importance of aligning AI applications with human values, emphasizing transparency, accountability, and adherence to international laws and norms. As technology advances, maintaining ethical standards becomes paramount to prevent unintended consequences that may arise from the integration of AI into military simulations.

One of the critical takeaways from the discussions surrounding AI in wargames is the need for international collaboration. The Bulletin of the Atomic Scientists, in a thought-provoking article, emphasizes the urgency of establishing global ethical standards for AI in military contexts. The article highlights that without a shared framework, the risks associated with AI in wargaming could escalate, potentially leading to unforeseen geopolitical consequences.

The area where AI and wargames collide is complicated and requires cautious exploration. Ethical control becomes crucial when countries use AI to improve their military prowess. The significance of responsible procedures in leveraging AI in military simulations is emphasized by the findings from the CETAI report, the AI Safety Summit, and the NATO Wargaming Handbook. Experts have called for international cooperation to ensure that the use of AI in wargames is consistent with moral standards and the interests of international security.


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Vulnerabilities and Exploits
AI technology AI tools AI Trends Artifical Intelligence Chatbot ChatGPT generative AI tools Vulnerabilities and Exploits

Navigating the Future: Global AI Regulation Strategies

As technology advances quickly, governments all over the world are becoming increasingly concerned about artificial intelligence (AI) regulation. Two noteworthy recent breakthroughs in AI legislation have surfaced, providing insight into the measures governments are implementing to guarantee the proper advancement and application of AI technologies.

The first path is marked by the United States, where on October 30, 2023, President Joe Biden signed an executive order titled "The Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence." The order emphasizes the need for clear guidelines and ethical standards to govern AI applications. It acknowledges the transformative potential of AI while emphasizing the importance of addressing potential risks and ensuring public trust. The order establishes a comprehensive framework for the federal government's approach to AI, emphasizing collaboration between various agencies to promote innovation while safeguarding against misuse.

Meanwhile, the European Union has taken a proactive stance with the EU AI Act, the first regulation dedicated to artificial intelligence. Introduced on June 1, 2023, this regulation is a milestone in AI governance. It classifies AI systems into different risk categories and imposes strict requirements for high-risk applications, emphasizing transparency and accountability. The EU AI Act represents a concerted effort to balance innovation with the protection of fundamental rights, fostering a regulatory environment that aims to set a global standard for AI development.

Moreover, in the pursuit of responsible AI development, companies like Anthropic have also contributed to the discourse. They have released a document titled "Responsible Scaling Policy 1.0," which outlines their commitment to ethical considerations in the development and deployment of AI technologies. This document reflects the growing recognition within the tech industry of the need for self-regulation and ethical guidelines to prevent the unintended consequences of AI.

As the global community grapples with the complexities of AI regulation, it is evident that a nuanced approach is necessary. These regulatory frameworks strive to strike a balance between fostering innovation and addressing potential risks associated with AI. In the words of President Biden, "We must ensure that AI is developed and used responsibly, ethically, and with public trust." The EU AI Act echoes this sentiment, emphasizing the importance of human-centric AI that respects democratic values and fundamental rights.

A common commitment to maximizing AI's advantages while minimizing its risks is reflected in the way regulations surrounding the technology are developing. These legislative measures, which come from partnerships between groups and governments, pave the path for a future where AI is used responsibly and ethically, ensuring that technology advances humankind rather than working against it.


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generative AI tools
AI technology AI tools AI Trends Artificial Intelligence Bill gates ChatGPT. OpenAI Cyber Security generative AI tools

Bill Gates' AI Vision: Revolutionizing Daily Life in 5 Years

Bill Gates recently made a number of bold predictions about how artificial intelligence (AI) will change our lives in the next five years. These forecasts include four revolutionary ways that AI will change our lives. The tech billionaire highlights the significant influence artificial intelligence (AI) will have on many facets of our everyday lives and believes that these developments will completely transform the way humans interact with computers.

Gates envisions a future where AI becomes an integral part of our lives, changing the way we use computers fundamentally. According to him, AI will play a pivotal role in transforming the traditional computer interface. Instead of relying on conventional methods such as keyboards and mice, Gates predicts that AI will become the new interface, making interactions more intuitive and human-centric.

One of the key aspects highlighted by Gates is the widespread integration of AI-powered personal assistants into our daily routines. Gates suggests that every internet user will soon have access to an advanced personal assistant, driven by AI. This assistant is expected to streamline tasks, enhance productivity, and provide a more personalized experience tailored to individual needs.

Furthermore, Gates emphasizes the importance of developing humane AI. In collaboration with Humanes AI, a prominent player in ethical AI practices, Gates envisions AI systems that prioritize ethical considerations and respect human values. This approach aims to ensure that as AI becomes more prevalent, it does so in a way that is considerate of human concerns and values.

The transformative power of AI is not limited to personal assistants and interfaces. Gates also predicts a significant shift in healthcare, with AI playing a crucial role in early detection and personalized treatment plans. The ability of AI to analyze vast datasets quickly could revolutionize the medical field, leading to more accurate diagnoses and tailored healthcare solutions.

Bill Gates envisions a world in which artificial intelligence (AI) is smoothly incorporated into daily life, providing previously unheard-of conveniences and efficiencies, as we look to the future. These forecasts open up fascinating new possibilities, but they also bring up crucial questions about the moral ramifications of broad AI use. Gates' observations provide a fascinating look at the possible changes society may experience over the next five years as it rapidly moves toward an AI-driven future.


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WormGPT
AI AI tools Artificial Intelligence Cyber Security CyberCrime Tech Industry WormGPT

WormGPT: AI Tool Developed for Cybercrime Actors


Cybersecurity experts have raised concerns against the rapidly emerging malicious AI tool: WormGPT. The AI tool is specifically developed for cybercrime actors, to assist them in their operations and create sophisticated attacks on an unprecedented scale.

While AI has made significant strides in various areas, it is increasingly apparent that technology might be abused in the world of cybercrime. WormGPT has built-in safeguards to prevent its nefarious usage, in contrast to its helpful counterparts like OpenAI's ChatGPT, raising concerns about the potential destruction it could cause in the digital environment.

What is WormGPT

WormGPT, developed by anonymous creators is an AI chatbot, similar to OpenAI’s ChatGPT. However, the one aspect that differentiates it from other chatbots is: that it lacks the protective measures that prevent its exploitation. The conspicuous lack of safeguards has raised concerns among cybersecurity experts and researchers. Due to the diligence of Daniel Kelley, a former hacker and prominent cybersecurity business Slash Next, this malicious AI tool has been brought to the notice of the cybersecurity community. In the murky recesses of cybercrime sites, they found adverts for WormGPT, which revealed a lurking danger.

How Does WormGPT Function? 

Apparently, hackers gain access to WormGPT via the dark web, further acquiring access to a web interface where they can enter commands and gain responses almost resembling the human language. This malware focuses mostly on business email compromise assaults and phishing emails, two types of cyberattacks that can have catastrophic results.

WormGPT aids hackers in crafting phishing emails, that could convince victims into taking actions that will compromise their security. The fabrication of persuading emails that appear to be from a company's CEO is a noteworthy example of this. These emails might demand payment from an employee for a fake invoice. WormGPT's sophisticated writing is more convincing and can mimic reliable people in a business email system since it draws from a large database of human-written information.

The Alarming Reach of ChatGPT

One of the major concerns regarding WormGPT among cybersecurity experts is its reach. Since the AI tool is readily available on the dark web, more and more threat actors are utilizing it for conducting malicious activities in cyberspace. Implying the AI tool suggests that far-reaching, large-scale attacks are on their way that could potentially affect more individuals, organizations and even state agencies. 

A Wake-up-call for the Tech Industry

The advent of WormGPT acts as a severe wake-up call for the IT sector and the larger cybersecurity community. While there is no denying that AI has advanced significantly, it has also created obstacles that have never before existed. While the designers of sophisticated AI systems like ChatGPT celebrate their achievements and widespread use, they also have a duty to address possible compromises of their innovations. WormGPT's lack of protections highlights how urgent it is to have strong ethical standards and safeguards for AI technology.  

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Technology
AI tools Artificial Intelligent ChatGPT Cyberattacks GPTbot OpenAI Technology

OpenAI's GPTBot Faces Media Backlash in France Over Data Collection Fears

 


A new level of tension has been created between the press and giants within the artificial intelligence industry. The OpenAI robot that runs on websites to suck up content and train its AI models, including the famous ChatGPT conversational agent, has been blocked by several headlines and publishers in recent weeks, according to reports. It was running on websites to suck up content and train its AI models. 

According to new data published by originality.AI, a content detector that uses artificial intelligence (AI) to detect AI content, nearly 20% of companies that offer AI services are blocking crawler bots that collect web data for AI purposes. It is reported that several news outlets have blocked a tool from OpenAI, which limits the company's ability to access its content in the future, including The New York Times, CNN, Reuters, and the Australian Broadcasting Corporation (ABC). 

ChatGPT is one of the most well-known and widely used AI chatbots developed by OpenAI. To improve the AI models on the market, GPTBot, its web crawler, scans webpages using its AI model for improvement. The New York Times blocked GPTBot from appearing on its website for several reasons, starting with the verification service The Verge. 

According to the Guardian, other major news websites, including CNN, Reuters, the Chicago Tribune, ABC, and some of the Australian Community Media brands (ACM) such as the Canberra Times and the Newcastle Herald, appear to have also refused to allow the crawler to access their websites. As part of the company's effort to boost ChatGPT's accuracy, a web crawler called GPTBot is being used to scrape publicly accessible data online for use in ChatGPT to improve accuracy - including copyrighted material. 

To process and generate texts through the chatbot, a deep-learning language model is used to produce and process the language. It has been stated in a blog post by OpenAI that allowing GPTBot to access your website can allow you to improve your AI models' performance and general capabilities as well as their safety. 

According to an announcement the company made on 8 August, used to train its GPT-4 and GPT-5 models, data would be automatically collected from the entire internet using this tool. In the same blog post, OpenAI also stated that the system would filter out sources that are charge wall-restricted, any sources that violate OpenAI's policies, or any sources that gather personally identifiable information about users. 

A personal data breach occurs when any information that can be used to identify an individual can be linked to them and linked straight to that individual. During a first clash with regulators in March, OpenAI was temporarily shut down domestically by the Italian data regulator Garante, accusing the company of flouting European privacy regulations, resulting in a temporary shutdown of the bot. 

As a result of increased privacy measures instituted by OpenAI for its users, ChatGPT was brought back to Italy. The European Data Protection Board, which represents all the EU data enforcement authorities, developed a task force in April of this year to make sure that these rules are applied consistently across all EU countries. 

The National Commission on Informatics and Liberty (NCIAL), a national data protection watchdog in France, was also recently able to publish an action plan addressing privacy concerns related to Artificial Intelligence (AI), particularly generative applications like ChatGPT, published in May. 

GPTbot: How Does it Work? 


To determine potential sources of data, GPTbot begins by identifying potential sources. It does this by crawling the web and looking for websites that contain relevant information that it can use in its search. GPTbot will extract information from a website once it has identified a potential source for the data, once it has identified a possible source for the data. 

The information is then compiled into a database and used to make AI models by training them according to the information obtained. Several types of information can be extracted using the tool, including text. Images and even code can be extracted using the tool. The GPTbot is capable of extracting text from websites, articles, books, and other documents, as well as from other sources.

To extract information from images, GPTbot can perform a variety of tasks, such as extracting information about the objects depicted in an image or creating a textual description of the image. GPTbot can also extract code from Web sites, GitHub repositories, and other sources, such as websites and blogs.

Several generative AI tools, including OpenAI's ChatGPT and other tools, rely on the use of data from websites to train models that will become more efficient with time. It was not long ago that Elon Musk blocked a mining service called OpenAI from scraping data from Twitter when it was still called Twitter, while the platform was still called Twitter
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Worldcoin
AI tools Digital Identity OpenAI Technology Worldcoin

Worldcoin’s Iris-Scanning Technology: A Game-Changer or a Privacy Concern

Worldcoin

Worldcoin, a cryptocurrency and digital ID project co-founded by OpenAI CEO Sam Altman, has recently announced its plans to expand globally and offer its iris-scanning and identity-verification technology to other organizations. The company, which launched last week, requires users to give their iris scans in exchange for a digital ID and free cryptocurrency. 

Worldcoin’s Mission

According to Ricardo Macieira, the general manager for Europe at Tools For Humanity, the company behind the Worldcoin project, the company is on a mission of “building the biggest financial and identity community” possible. The idea is that as they build this infrastructure, they will allow other third parties to use the technology.

Privacy Concerns

Worldcoin’s iris-scanning technology has been met with both excitement and concern. On one hand, it offers a unique way to verify identity and enable instant cross-border financial transactions. On the other hand, there are concerns about privacy and the potential misuse of biometric data. Data watchdogs in Britain, France, and Germany have said they are looking into the project.

Despite these concerns, Worldcoin has already seen significant adoption. According to the company, 2.2 million people have signed up, mostly during a trial period over the last two years. The company has also raised $115 million from venture capital investors including Blockchain Capital, a16z crypto, Bain Capital Crypto, and Distributed Global in a funding round in May.

Potential Applications

Worldcoin’s website mentions various possible applications for its technology, including distinguishing humans from artificial intelligence, enabling “global democratic processes,” and showing a “potential path” to universal basic income. However, these outcomes are not guaranteed.

Most people interviewed by Reuters at sign-up sites in Britain, India, and Japan last week said they were joining to receive the 25 free Worldcoin tokens the company says verified users can claim. Macieira said that Worldcoin would continue rolling out operations in Europe, Latin America, Africa, and “all the parts of the world that will accept us.”

Companies could pay Worldcoin to use its digital identity system. For example, if a coffee shop wants to give everyone one free coffee, then Worldcoin’s technology could be used to ensure that people do not claim more than one coffee without the shop needing to gather personal data.

What's next

It remains to be seen how Worldcoin’s technology will be received by governments and businesses. The potential benefits are clear: a secure way to verify identity without the need for personal data. However, there are also concerns about privacy and security that must be addressed.

Worldcoin’s plans to expand globally and offer its iris-scanning and identity-verification technology to other organizations is an exciting development in the world of cryptocurrency and digital identity. While there are concerns about privacy and security that must be addressed, the potential benefits of this technology are clear. It will be interesting to see how governments and businesses respond to this new offering from Worldcoin.


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Netskope
AI Apps AI Safety AI technology AI tools ChatGPT Cyber Security Generative AI Google Bard Netskope

Blocking Access to AI Apps is a Short-term Solution to Mitigate Safety Risk


Another major revelation in regard to ChatGPT recently came to light through research conducted by Netskope. According to their analysis, business organizations are experiencing about 183 occurrences of sensitive data being posted to ChatGPT for every 10,000 corporate users each month. Amongst the sensitive data being exposed, source code bagged the largest share.

The security researchers further scrutinized the data of the million enterprise users worldwide and emphasized the growing trend of generative AI app usage, which witnessed an increase of 22.5% over the past two months. This consequently escalated the chance of sensitive data being exposed. 

ChatGPT Reigning the Generative AI Market

Apparently, organizations with 10,000 (or more) users are utilizing some or the other AI tool – with an average of 5 apps – on a regular basis. Compared to other generative AI apps, ChatGPT has more than 8 times as many daily active users. Within the next seven months, it is anticipated that the number of people accessing AI apps will double at the present growth pace.

The AI app with the swiftest growth in installations over the last two months was Google Bard, which is presently attracting new users at a rate of 7.1% per week versus 1.6% for ChatGPT. Although the generative AI app market is expected to considerably grow before then, with many more apps in development, Google Bard is not projected to overtake ChatGPT for more than a year at the current rate.

Besides the intellectual property (excluding source code) and personally identifiable information, other sensitive data communicated via ChatGPT includes regulated data, such as financial and healthcare data, as well as passwords and keys, which are typically included in source code.

According to Ray Canzanese, Threat Research Director, Netskope Threat Lab, “It is inevitable that some users will upload proprietary source code or text containing sensitive data to AI tools that promise to help with programming or writing[…]Therefore, it is imperative for organizations to place controls around AI to prevent sensitive data leaks. Controls that empower users to reap the benefits of AI, streamlining operations and improving efficiency, while mitigating the risks are the ultimate goal. The most effective controls that we see are a combination of DLP and interactive user coaching.”

Safety Measures to Adopt AI Apps

As opportunistic attackers look to profit from the popularity of artificial intelligence, Netskope Threat Labs is presently monitoring ChatGPT proxies and more than 1,000 malicious URLs and domains, including several phishing attacks, malware distribution campaigns, spam, and fraud websites.

While blocking access to AI content and apps may seem like a good idea, it is indeed a short-term solution. 

James Robinson, Deputy CISO at Netskope, said “As security leaders, we cannot simply decide to ban applications without impacting on user experience and productivity[…]Organizations should focus on evolving their workforce awareness and data policies to meet the needs of employees using AI products productively. There is a good path to safe enablement of generative AI with the right tools and the right mindset.”

Organizations must focus their strategy on finding acceptable applications and implementing controls that enable users to use them to their maximum potential while protecting the business from dangers in order to enable the safe adoption of AI apps. For protection against assaults, such a strategy should incorporate domain filtering, URL filtering, and content inspection.

Here, we are listing some more safety measures to secure data and use AI tools with safety: 

  • Disable access to apps that lack a legitimate commercial value or that put the organization at disproportionate risk. 
  • Educate employees to remind users of their company policy pertaining to the usage of AI apps.
  • Utilize cutting-edge data loss prevention (DLP) tools to identify posts with potentially sensitive data.  

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Uizard
AI AI tools App Developer Artificial Intelligence Autodesigner Automation Cape Privacy CapeChat Drafthorse AI Folk Sembly AI Technology Uizard

5 AI Tools That may Save Your Team’s Working Hours


In today’s world of ‘everything digital,’ integrating Artificial Intelligence tools in a business is not just a mere trend, but a necessity. AI is altering how we work and interact with technology in the rapidly transforming digital world. AI-powered solutions are set to improve several corporate functions, from customer relationship management to design and automation.

Here, we are discussing some of these AI-powered tools, that have proved to be a leading attribute for growing a business:

1. Folk

Folk is a highly developed CRM (Customer Relationship Management) developed to work for its users, with the use of its AI-powered setup. Some of its prominent features include its lightweight and customizability. Due to its automation capabilities, it frees its user from any manual task, which allows them to shift their focus to its main goal: building customer and business relationships.

Folk's AI-based smart outreach feature tracks results efficiently, allowing users to know when and how to reach out.

2. Sembly AI

It is a SaaS platform that deploys algorithms to record and analyse meetings and integrate the findings into useful information.

3. Cape Privacy 

Cape Privacy introduced its AI tool - CapeChat - the platform focuses on privacy, and is powered by ChatGPT.

CapeChat is used to encrypt and redact sensitive data, in order to ensure user privacy while using AI language models.

Cape also provides secure enclaves for processing sensitive data and protecting intellectual property.

4. Drafthorse AI

Drafthorse AI is a programmatic SEO writer used by brands and niche site owners. With its capacity to support over 100 languages, Drafthorse AI allows one to draft SEO-optimized articles in minutes.

It is an easy-to-use AI tool with a user-friendly interface that allows users to import target keywords, generate content, and export it in various formats.

5. Uizard

Uizard includes Autodesigner, an AI-based designing and ideation tool that helps users to generate creative mobile apps, websites, and more.

A user with minimal or no designing experience can easily use the UI design, as it generates mockups from text prompts, scans screenshots, and offers drag-and-drop UI components.

With the help of this tool, users may quickly transition from an idea to a clickable prototype.  

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Technology
AI Chatbot AI tools ChatGPT Generative AI OpenAI Technology

ChatGPT is Only One Beginning point: 10 AI tools that are beating out to OpenAI's Chatbot

AI Tools other than ChatGPT

Artificial intelligence (AI) is transforming everyday tasks in unprecedented manners. Since the release of OpenAI's ChatGPT, the world has seen significant advancements in AI, with several tech titans competing to provide the most essential applications.

Hundreds of thousands of AI applications have been launched globally in recent months. Every day, a new AI tool makes its way into computers and smartphones, from creating essays to summarizing documents.

ChatGPT has assisted millions of working professionals, students, and experts worldwide in managing their productivity, maximizing creativity, and increasing efficiency. Surprisingly, ChatGPT is just the beginning. Many more AI technologies are as efficient or better than ChatGPT regarding specialized tasks. 

Here is the list of the top ten tools that are an alternative to ChatGPT

Krisp AI: Since the pandemic and the subsequent lockdowns, working professionals worldwide have embraced virtual interactions. While Zoom meetings have become a norm, there has yet to be any significant breakthrough in ensuring crisp and clutter-free audio-visual communication.

Promptbox: Tools backed by artificial intelligence heavily rely on user input to generate content or perform specific tasks. The inputs are largely text prompts, and it is essential to frame your prompts to ensure that you get the correct output. Now that there are hundreds of conversational chatbots and their uses are increasing rapidly, having all your prompts in one place is a great way to make the most of AI.

Monica: Your Personal AI Assistant - Monica is an AI tool that acts as your assistant. It can help you manage your schedule, set reminders, and even make reservations. With Monica, you can delegate tasks and focus on more important things.

Glasp: Social Highlighting for Efficient Research - Glasp is an AI tool that helps with research by allowing you to highlight and save important information from web pages and documents. With Glasp, you can easily keep track of the information you need and share it with others.

Compose AI: Overcoming Writer’s Block - Compose AI is an AI tool that helps overcome writer’s block by suggesting ideas and generating content based on your prompts. With Compose AI, you can get past the blank page and start writing.

Eesel: Organize Work Documents with Ease - Eesel is an AI tool that helps you easily organize your work documents. Using AI, Eesel categorizes and sorts your documents, making it easy to find what you need.

Docus AI: AI Tool for Health Guidance - Docus AI is an AI tool that provides health guidance by using AI to analyze your symptoms and provide personalized recommendations. With Docus AI, you can get the information you need to make informed decisions about your health.

CapeChat: Secure Document Interaction with AI - CapeChat is an AI tool that allows for secure document interaction with AI. Using encryption and other security measures, CapeChat ensures your documents are safe and secure.

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Zupyak: AI-Powered SEO Content Generation - Zupyak is an AI tool that uses AI to generate SEO-optimized content for your website or blog. With Zupyak, you can improve your search engine rankings and attract more visitors to your site.

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User Privacy
AI tools Artificial Intelligence ChatGPT Cyber Security OpenAI User Privacy

Decoding the Buzz Around AI Corpora

Discussions about "corpus" in the context of artificial intelligence (AI) have become increasingly popular recently. The importance of comprehending the concept of a corpus has grown as AI becomes more sophisticated and pervasive in a variety of fields. The purpose of this article is to clarify what a corpus is, how it relates to artificial intelligence, and why it has drawn so much interest from researchers and aficionados of the field.

What is a Corpus?
In simple terms, a corpus refers to a vast collection of texts or data that is systematically gathered and used for linguistic or computational analysis. These texts can be diverse, ranging from written documents to spoken conversations, social media posts, or any form of recorded language. Corpora (plural of corpus) provide a comprehensive snapshot of language usage patterns, making them valuable resources for training and fine-tuning AI language models.

Corpora play a crucial role in the development of AI language models, such as OpenAI's GPT-3, by serving as training data. The larger and more diverse the corpus, the better the language model can understand and generate human-like text. With access to an extensive range of texts, AI models can learn patterns, semantics, and contextual nuances, enabling them to produce coherent and contextually appropriate responses.

Moreover, the use of corpora allows AI systems to mimic human conversational patterns, making them useful in applications like chatbots, customer service, and virtual assistants. By training on diverse corpora, AI models become more capable of engaging in meaningful interactions and providing accurate information.

Legal and Ethical Considerations:

The availability and usage of corpora raise important legal and ethical questions. The ownership, copyright, and data privacy aspects associated with large-scale text collections need to be carefully addressed. Issues related to intellectual property rights and potential biases within corpora also come into play, necessitating responsible and transparent practices.

Recently, OpenAI made headlines when it restricted access to a significant part of its GPT-3 training dataset, including content from Reddit. This decision was aimed at addressing concerns related to biased or offensive outputs generated by the AI model. It sparked discussions about the potential risks and ethical considerations associated with the use of publicly available data for training AI systems.

As AI continues to advance, the importance of corpora and their responsible usage will likely grow. Striking a balance between access to diverse training data and mitigating potential risks will be crucial. Researchers and policymakers must collaborate to establish guidelines and frameworks that ensure transparency, inclusivity, and ethical practices in the development and deployment of AI models.


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Tools
AI AI tools Android App Safety Automation Data OpenAI Security Technology Tools

3 Key Reasons SaaS Security is Essential for Secure AI Adoption

 

The adoption of AI tools is revolutionizing organizational operations, providing numerous advantages such as increased productivity and better decision-making. OpenAI's ChatGPT, along with other generative AI tools like DALL·E and Bard, has gained significant popularity, attracting approximately 100 million users worldwide. The generative AI market is projected to surpass $22 billion by 2025, highlighting the growing reliance on AI technologies.

However, as AI adoption accelerates, security professionals in organizations have valid concerns regarding the usage and permissions of AI applications within their infrastructure. They raise important questions about the identity of users and their purposes, access to company data, shared information, and compliance implications.

Understanding the usage and access of AI applications is crucial for several reasons. Firstly, it helps assess potential risks and enables organizations to protect against threats effectively. Without knowing which applications are in use, security teams cannot evaluate and address potential vulnerabilities. Each AI tool represents a potential attack surface that needs to be considered, as malicious actors can exploit AI applications for lateral movement within the organization. Basic application discovery is an essential step towards securing AI usage and can be facilitated using free SSPM tools.

Additionally, knowing which AI applications are legitimate helps prevent the inadvertent use of fake or malicious applications. Threat actors often create counterfeit versions of popular AI tools to deceive employees and gain unauthorized access to sensitive data. Educating employees about legitimate AI applications minimizes the risks associated with these fraudulent imitations.

Secondly, identifying the permissions granted to AI applications allows organizations to implement robust security measures. Different AI tools may have varying security requirements and risks. By understanding the permissions granted and assessing associated risks, security professionals can tailor security protocols accordingly. This ensures the protection of sensitive data and prevents excessive permissions.

Lastly, understanding AI application usage helps organizations effectively manage their SaaS ecosystem. It provides insights into employee behavior, identifies potential security gaps, and enables proactive measures to mitigate risks. Monitoring for unusual AI onboarding, inconsistent usage, and revoking access to unauthorized AI applications are security steps that can be taken using available tools. Effective management of the SaaS ecosystem also ensures compliance with data privacy regulations and the adequate protection of shared data.

In conclusion, while AI applications offer significant benefits, they also introduce security challenges that must be addressed. Security professionals should leverage existing SaaS discovery capabilities and SaaS Security Posture Management (SSPM) solutions to answer fundamental questions about AI usage, users, and permissions. By utilizing these tools, organizations can save valuable time and ensure secure AI implementation.
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Web Services
AI tools Artificial Intelligence Chatbots Cyber Security Healthcare Data Oracle Web Services

Oracle and Cohere Collaborate for New Gen AI Service

 

During Oracle's recent earnings call, company founder Larry Ellison made an exciting announcement, confirming the launch of a new generation AI service in collaboration with Cohere. This partnership aims to deliver powerful generative AI services for businesses, opening up new possibilities for innovation and advanced applications.

The collaboration between Oracle and Cohere signifies a strategic move by Oracle to enhance its AI capabilities and offer cutting-edge solutions to its customers. With AI playing a pivotal role in transforming industries and driving digital transformation, this partnership is expected to strengthen Oracle's position in the market.

Cohere, a company specializing in natural language processing (NLP) and generative AI models, brings its expertise to the collaboration. By leveraging Cohere's advanced AI models, Oracle aims to empower businesses with enhanced capabilities in areas such as text summarization, language generation, chatbots, and more.

One of the key highlights of this collaboration is the potential for businesses to leverage the power of generative AI to automate and optimize various processes. Generative AI has the ability to create content, generate new ideas, and perform complex tasks, making it a valuable tool for organizations across industries.

The joint efforts of Oracle and Cohere are expected to result in the development of state-of-the-art AI models that can revolutionize how businesses operate and innovate. By harnessing the power of AI, organizations can gain valuable insights from vast amounts of data, enhance customer experiences, and streamline operations.

This announcement comes in the wake of Oracle's recent acquisition of Cerner, a healthcare technology company, further solidifying Oracle's commitment to revolutionizing the healthcare industry through advanced technologies. The integration of AI into healthcare systems holds immense potential to improve patient care, optimize clinical processes, and enable predictive analytics for better decision-making.

As the demand for AI-powered solutions continues to rise, businesses are seeking comprehensive platforms that can deliver sophisticated AI services. With Oracle and Cohere joining forces, organizations can benefit from an expanded suite of AI tools and services that can address a wide range of industry-specific challenges.

The collaboration between Oracle and Cohere highlights the growing importance of AI in driving innovation and digital transformation across industries. As businesses increasingly recognize the value of AI, partnerships like this one are crucial for pushing the boundaries of what AI can achieve and bringing advanced capabilities to the market.

The partnership between Oracle and Cohere signifies a significant step forward in the realm of AI services. The collaboration is expected to deliver powerful generative AI solutions that can empower businesses to unlock new opportunities and drive innovation. With Oracle's expertise in enterprise technology and Cohere's proficiency in AI models, this collaboration holds great promise for businesses seeking to leverage the full potential of AI in their operations and strategies.
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User Safety
AI tools Cyber Threats Machine learning Technology User Privacy User Safety

Leading Tech Talent Issues Open Letter Warning About AI's Danger to Human Existence

 

Elon Musk, Steve Wozniak, and Tristan Harris of the Center for Humane Technology are among the more than 1,100 signatories to an open letter that was published online Tuesday evening and requests that "all AI labs immediately pause for at least 6 months the training of AI systems more powerful than GPT-4." 

"Contemporary AI systems are now becoming human-competitive at general tasks,[3] and we must ask ourselves: Should we let machines flood our information channels with propaganda and untruth? Should we automate away all the jobs, including the fulfilling ones? Should we develop nonhuman minds that might eventually outnumber, outsmart, obsolete and replace us? Should we risk loss of control of our civilization? Such decisions must not be delegated to unelected tech leaders. Powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable," the letter reads.

A "level of planning and management" is allegedly "not happening," according to the letter, and in its place, unnamed "AI labs" have been "locked in an out-of-control race to develop and deploy ever more powerful digital minds that no one - not even their creators - can understand, predict, or reliably control."

Some of the AI specialists who signed the letter state that the pause they are requesting should be "public and verifiable, and include all essential participants. Governments should intervene and impose a moratorium, the letter advises, if the proposed stop cannot be swiftly implemented.

Indeed, the letter is intriguing both because of those who have signed it, including some engineers from Meta and Google, Emad Mostaque, founder and CEO of Stability AI, and non-technical individuals like a self-described electrician and an esthetician, as well as those who haven't. For instance, no one from OpenAI, the company that created the GPT-4 big language model, has signed this letter. Neither has the team from Anthropic, which split off from OpenAI to create a "safer" AI chatbot. 

Sam Altman, the CEO of OpenAI, told the WSJ earlier this week that GPT-5 training has not yet begun at OpenAI. Altman also mentioned that the business has historically prioritised safety during development and spent more than six months testing GPT-4 for safety issues prior to release. He told the Journal, "In a way, this is preaching to the choir. "I believe that we have been discussing these topics loudly, intensely, and for the longest."

Altman had a conversation with this editor in January, during which he made the case that "starting these [product releases] now [makes sense], where the stakes are still relatively low, rather than just putting out what the entire industry will have in a few years with no time for society to update," was the better course of action. 

In a more recent interview, Altman discussed his friendship with Musk, who cofounded OpenAI but left the group in 2018 due to conflicts of interest, with computer scientist and well-known podcaster Lex Fridman. Musk was a cofounder of OpenAI. According to a more recent claim from the outlet Semafor, Musk departed when Altman, who was named CEO of OpenAI in early 2019, and the other company founders rejected his offer to lead it. 

Given that he has spoken out about AI safety for many years and has recently targeted OpenAI in particular, claiming the organisation is all talk and no action, Musk is arguably the least surprise signatory to this open letter. Fridman questioned Altman about Musk's frequent and recent tweets criticising the company. 

"Elon is definitely criticising us on Twitter right now on a few different fronts, and I feel empathy because I think he is — appropriately so — incredibly anxious about His safety," Altman added. Although I'm sure there are other factors at play as well, that is undoubtedly one of them."
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XDR Tools
AI tools Cyber Security Cyberwarfare IT Security XDR Tools

How ChatGPT May Act as a Copilot for Security Experts

 

Security teams have been left to make assumptions about how generative AI will affect the threat landscape since ChatGPT-4 was released this week. Although it is now widely known that GPT-3 may be used to create malware and ransomware code, GPT-4 is 571X more potent, which could result in a large increase in threats. 

While the long-term effects of generative AI are yet unknown, a new study presented today by cybersecurity company Sophos reveals that GPT-3 can be used by security teams to thwart cyberattacks. 

Younghoo Lee, the principal data scientist for Sophos AI, and other Sophos researchers used the large language models from GPT-3 to create a natural language query interface for looking for malicious activity across the telemetry of the XDR security tool, detecting spam emails, and examining potential covert "living off the land" binary command lines. 

In general, Sophos' research suggests that generative AI has a crucial role to play in processing security events in the SOC, allowing defenders to better manage their workloads and identify threats more quickly. 

Detecting illegal activity 

The statement comes as security teams increasingly struggle to handle the volume of warnings generated by tools throughout the network, with 70% of SOC teams indicating that their work managing IT threat alerts is emotionally affecting their personal lives. 

According to Sean Gallagher, senior threat researcher at Sophos, one of the rising issues within security operation centres is the sheer amount of 'noise' streaming in. Many businesses are dealing with scarce resources, and there are just too many notifications and detections to look through. Using tools like GPT-3, we've demonstrated that it's possible to streamline some labor-intensive proxies and give defenders back vital time. 

Utilising ChatGPT as a cybersecurity co-pilot 

In the study, researchers used a natural language query interface where a security analyst may screen the data gathered by security technologies for harmful activities by typing queries in plain text English. 

For instance, the user may input a command like "show me all processes that were named powershelgl.exe and run by the root user" and produce XDR-SQL queries from them without having to be aware of the underlying database structure. 

This method gives defenders the ability to filter data without the usage of programming languages like SQL and offers a "co-pilot" to ease the effort of manually looking for threat data.

“We are already working on incorporating some of the prototypes into our products, and we’ve made the results of our efforts available on our GitHub for those interested in testing GPT-3 in their own analysis environments,” Gallagher stated. “In the future, we believe that GPT-3 may very well become a standard co-pilot for security experts.” 

It's important to note that researchers also discovered GPT-3 to filter threat data to be significantly more effective than utilising other substitute machine learning models. This would probably be faster with the upcoming version of generative AI given the availability of GPT-4 and its greater processing capabilities. Although these pilots are still in their early stages, Sophos has published the findings of the spam filtering and command line analysis experiments on the SophosAI GitHub website for other businesses to adapt.
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Technology
AI AI tools AI-backed systems Artificial Intelligence ChatGPT Check Point Malicious Campaigns Malicious Code OpenAI Technology

ChatGPT: When Cybercrime Meets the Emerging Technologies


The immense capability of ChatGPT has left the entire globe abuzz. Indeed, it solves both practical and abstract problems, writes and debugs code, and even has the potential to aid with Alzheimer's disease screening. The OpenAI AI-powered chatbot, however, is at high risk of abuse, as is the case with many new technologies. 

How Can ChatGPT be Used Maliciously? 

Recently, researchers from Check Point Software discovered that ChatGPT could be utilized to create phishing emails. When combined with Codex, a natural language-to-code system by OpenAI, ChatGPT can develop and disseminate malicious code. 

According to Sergey Shykevich, threat intelligence group manager at Check Point Software, “Our researchers built a full malware infection chain starting from a phishing email to an Excel document that has malicious VBA [Visual Basic for Application] code. We can compile the whole malware to an executable file and run it in a machine.” 

He adds that ChatGPT primarily produces “much better and more convincing phishing and impersonation emails than real phishing emails we see in the wild now.” 

In regards to the same, Lorrie Faith Cranor, director and Bosch Distinguished Professor of the CyLab Security and Privacy Institute and FORE Systems Professor of computer science and of engineering and public policy at Carnegie Mellon University says, “I haven’t tried using ChatGPT to generate code, but I’ve seen some examples from others who have. It generates code that is not all that sophisticated, but some of it is actually runnable code[…]There are other AI tools out there for generating code, and they are all getting better every day. ChatGPT is probably better right now at generating text for humans, and may be particularly well suited for generating things like realistic spoofed emails.” 

Moreover, the researchers have also discovered hackers that create malicious tools like info-stealers and dark web markets using ChatGPT. 

What AI Tools are More Worrisome? 

Cranor says “I think to use these [AI] tools successfully today requires some technical knowledge, but I expect over time it will become easier to take the output from these tools and launch an attack[…]So while it is not clear that what the tools can do today is much more worrisome than human-developed tools that are widely distributed online, it won’t be long before these tools are developing more sophisticated attacks, with the ability to quickly generate large numbers of variants.” 

Furthermore, complications could as well arise from the inability to detect whether the code was created by utilizing ChatGPT. “There is no good way to pinpoint that a specific software, malware, or even phishing email was written by ChatGPT because there is no signature,” says Shykevich. 

What Could be the Solution? 

One of the methods OpenAI is opting for is to “watermark” the output of GPT models, which could later be used to determine whether they are created by AI or humans. 

In order to safeguard companies and individuals from these AI-generated threats, Shykevich advises using appropriate cybersecurity measures. While the current safeguards are still in effect, it is critical to keep upgrading and bolstering their application. 

“Researchers are also working on ways to use AI to discover code vulnerabilities and detect attacks[…]Hopefully, advances on the defensive side will be able to keep up with advances on the attacker side, but that remains to be seen,” says Cranor. 

While ChatGPT and other AI-backed systems have the potential to fundamentally alter how individuals interact with technology, they also carry some risk, particularly when used in dangerous ways. 

“ChatGPT is a great technology and has the potential to democratize AI,” adds Shykevich. “AI was kind of a buzzy feature that only computer science or algorithmic specialists understood. Now, people who aren’t tech-savvy are starting to understand what AI is and trying to adopt it in their day-to-day. But the biggest question, is how would you use it—and for what purposes?”  

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