Traditional security tools were designed when code changes were measured in hundreds of lines per sprint and development cycles lasted weeks. Today, AI accelerates code production to thousands of lines daily with fundamentally different patterns than human-written code.
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.
New research highlights the gap between how technology is designed to work and how it's actually safely operated.
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."
2026 will bring CISOs and security professionals potential AI breaches, tight infrastructure regulation, a new European Union vulnerability database, quantum security growth, and merger and acquisition shifts.
The breach has triggered a reckoning with security blind spots that extend far beyond one company's network.
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.
We've examined the available cybersecurity job demand data and projected job growth based on our synthesis of authoritative sources.
In a potential hot conflict over Taiwan sovereignty, cyber operations would be at the forefront, and aimed at slowing the U.S. military response, targeting military logistics systems, cloud-based sustainment platforms, naval communications, and intelligence, surveillance, and reconnaissance systems.
The SaaS Security Capability Framework, released by the CSA's SaaS Working Group provides an industry-standard set of baselines, customer-facing security controls for SaaS platforms.
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.
For enterprise security teams already struggling with SaaS sprawl and third-party risk management, the Drift breach is a reminder that OAuth tokens—designed to enhance security by eliminating password sharing—are high-value targets.
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.
Most, eventually all, CISOs will be forced to endure the loss of a cherished vendor and promising roadmap due to an acquisition.
It’s their necessity for such accessibility that makes secure configuration especially challenging—and when a zero-day vulnerability emerges, the damage can be swift.
