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AI Skills Shortage Deepens as Enterprise Demand Grows Faster Than Talent Supply

 

The shortage of skilled professionals in artificial intelligence is becoming a major concern for enterprises, as organizations race to adopt the technology without a matching increase in qualified talent. The latest Harvey Nash Digital Leadership report, released by Nash Squared in May, highlights a sharp rise in demand for AI skills across industries—faster than any previous tech trend tracked in the last 16 years. 

Based on responses from over 2,000 tech executives, the report found that more than half of IT leaders now cite a lack of AI expertise as a key barrier to progress. This marks a steep climb from just 28% a year ago. In fact, AI has jumped from the sixth most difficult skill to hire for to the number one spot in just over a year. Interest in AI adoption continues to soar, with 90% of surveyed organizations either investing in or piloting AI solutions—up significantly from 59% in 2023. Despite this enthusiasm, a majority of companies have not yet seen measurable returns from their AI projects. Many remain stuck in early testing phases, unable to deploy solutions at scale. 

Numerous challenges continue to slow enterprise AI deployment. Besides the scarcity of skilled professionals, companies face obstacles such as inadequate data infrastructure and tight budgets. Without the necessary expertise, organizations struggle to transition from proof-of-concept to full integration. Bev White, CEO of Nash Squared, emphasized that enterprises are navigating uncharted territory. “There’s no manual for scaling AI,” she explained. “Organizations must combine various strategies—formal education, upskilling of tech and non-tech teams, and hands-on experimentation—to build their AI capabilities.” She also stressed the need for operational models that naturally embed AI into daily workflows. 

The report’s findings show that the surge in AI skill demand has outpaced any other technology shift in recent memory. Sectors like manufacturing, education, pharmaceuticals, logistics, and professional services are all feeling the pressure to hire faster than the talent pool allows. Supporting this trend, job market data shows explosive growth in demand for AI roles. 

According to Indeed, postings for generative AI positions nearly tripled year-over-year as of January 2025. Unless companies prioritize upskilling and talent development, the widening AI skills gap could undermine the long-term success of enterprise AI strategies. For now, the challenge of turning AI interest into practical results remains a steep climb.
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Risk Management
Cloud Cyber Security cybersecurity best practices cybersecurity posture Enterprise enterprise cybersecurity Google Cloud Platform Infrastructure Risk Management

Posture Management Emerges as Strategic Cybersecurity Priority Amid Cloud and Data Fragmentation

 

Posture management is rapidly evolving into a cornerstone of enterprise cybersecurity as organizations grapple with increasing digital complexity. With infrastructures now sprawling across cloud platforms, identity services, and data environments, the traditional model of siloed risk monitoring is no longer sustainable. As a result, cybersecurity leaders are embracing posture management not only to gauge exposure but also to orchestrate defenses in real time. 

This shift reflects a broader industry movement toward unifying visibility and control. “From a business perspective, large organizations have M&A — they have rollups; they have multiple divisions. They’re not centralized; they’re across globes,” said Erik Bradley, chief strategist and director of research at Enterprise Technology Research. “There’s no way that we’re ever going to see a consolidation on one platform.” 

Bradley shared these insights during a conversation with theCUBE’s Jon Oltsik and Dave Vellante at the RSAC 2025 Conference, hosted by SiliconANGLE Media. The discussion focused on how posture management is becoming integral to modern security operations by improving visibility, minimizing tool sprawl, and enabling strategic risk reduction across complex IT environments. Security teams are increasingly recognizing the limitations of point solutions. 

Instead, they’re exploring how posture management can serve as a foundational layer across enterprise-wide platforms. “We’re carving up terminology and confusing the market,” said Oltsik. “IT is moving so quickly and it’s so specialized that you need specialized posture management tools for cloud, identity, and data.” Leading cybersecurity vendors like CrowdStrike and Palo Alto Networks are embedding posture management into broader security suites, aligning it with automation, identity access controls, and even password management. 

These integrations aim to reduce operational overhead while enabling faster, more accurate threat detection. According to Bradley, these vendors view posture management as both a preventive control in peacetime and a readiness tool in active cyber warfare scenarios. However, challenges persist—particularly around data fragmentation. Although many vendors tout strong telemetry capabilities, few offer complete visibility across all domains. 

This leaves enterprises vulnerable to gaps in their defenses, especially as they try to consolidate vendors and reduce redundancy. “No CSO is going to go all-in with one provider,” Bradley emphasized. “They’re focused on consolidating redundant vendors and streamlining operations without sacrificing visibility or security.” 

As cybersecurity evolves, posture management is no longer a niche function—it’s becoming the backbone of a resilient, scalable defense strategy.
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Technology
AI Automation Business Enterprise Organization security Technology

Threat Alert: Hackers Using AI and New Tech to Target Businesses

Threat Alert: Hackers Using AI and New Tech to Target Businesses

Hackers are exploiting the advantages of new tech and the availability of credentials, commercial tools, and other resources to launch advanced attacks faster, causing concerns among cybersecurity professionals. 

Global Threat Landscape Report 2025

The 2025 Global Threat Landscape Report by FortiGuard Labs highlights a “dramatic escalation in scale and advancement of cyberattacks” due to the fast adoption of the present hostile tech and commercial malware and attacker toolkits.  

According to the report, the data suggests cybercriminals are advancing faster than ever, “automating reconnaissance, compressing the time between vulnerability disclosure and exploitation, and scaling their operations through the industrialization of cybercrime.”

According to the researchers, hackers are exploiting all types of threat resources in a “systematic way” to disrupt traditional advantages enjoyed by defenders. This has put organizations on alert as they are implementing new defense measures and leveling up to mitigate these changing threats. 

Game changer AI

AI has become a key tool for hackers in launching phishing attacks which are highly effective and work as initial access vectors for more harmful attacks like identity theft or ransomware.

A range of new tools such as WormGPT and FraudGPT text generators; DeepFaceLab and Faceswap deepfake tools; BlackmailerV3, an AI-driven extortion toolkit for customizing automatic blackmail emails, and AI-generated phishing pages like Robin Banks and EvilProxy, making it simple for threat actors to make a swift and dirty cybercrime business. 

The report highlights that the growing cybercrime industry is running on “cheap and accessible wins.” With AI evolving, the bar has dropped for cybercriminals to access tactics and intelligence needed for cyberattacks “regardless of an adversary's technical knowledge.”

These tools also allow cybercriminals to build better and more convincing phishing threats and scale a cybercriminal enterprise faster, increasing their success rate. 

Attackers leveraging automated scanning

Attackers are now using automated scanning for vulnerable systems reaching “unprecedented levels” at billions of scans per month, 36,000 scans every second. The report suggests a yearly rise in active scanning to 16.7%. The defenders have less time to patch vulnerable systems due to threat actors leveraging automation, disclosing security loopholes impacting organizations. 

According to researchers, “Tools like SIPVicious and commercial scanning tools are weaponized to identify soft targets before patches can be applied, signaling a significant 'left-of-boom' shift in adversary strategy.”

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