The agentic AI governance gap is a fundamental enterprise weakness. Sixty-three percent of organizations lack AI governance policies, according to IBM's research. This creates a complete lack of any meaningful organizational control over these deployments.
Anthropic's disclosure lacked important elements, which explains the professional criticism that erupted despite the potmortem's potential significance. And while the post is marketing for Anthropic, it also provides strategic threat context for security executives.
AI-driven attacks are real, and they’re occurring. But to paraphrase cyberpunk writing pioneer William Gibson, “The future is already here – it's just not evenly distributed."
The field desperately needs people, but neither employers nor job seekers seem yet to fully align on what skills those people should possess in an AI-dominated future.
The National Institute of Standards and Technology's new Control Overlays for Securing AI Systems and the Coalition for Secure AI provide much-needed standardization for AI security across government and industry.
Unlike human identities, which grow linearly as the workforce expands, machine identities proliferate exponentially as organizations embrace automation, microservices architectures, and AI-powered tools. This raises new identity governance challenges.
Organizations are scrambling to fill specialized roles that blend AI expertise with traditional security knowledge, offering unprecedented opportunities for professionals willing to master this convergence.
While the majority of organizations move to embrace AI in their security operations programs, not all will be successful.
As artificial intelligence integrates into cybersecurity operations, it is automating alert triage and enhancing proactive threat detection. This evolution is amplifying both defensive and offensive capabilities.
