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The Paradox of AI Deployment Imagine your most autonomous AI agent, one that books meetings, approves invoices, and queries your ERP system suddenly begins exfiltrating data to a competitor's server. That scenario isn’t hypothetical; it’s a 2026 reality for one in eight enterprises  experiencing AI-related breaches, according to the HiddenLayer 2026 AI Threat Landscape Report   HiddenLayer Releases the 2026 AI Threat Landscape Report, Spotlighting the Rise of Agentic AI and t

Zero Trust frameworks were designed for a world where humans and traditional services were the primary actors. Autonomous AI agents are neither. The good news is that the foundational Zero Trust frameworks already provide the structural vocabulary to address this challenge. The key is extending those frameworks intentionally rather than retrofitting controls after deployment. The Zero Trust Foundation: DoD, NIST, and CISA Zero Trust Architecture is primarily defined by seven

Agentic AI delivers transformational business value by streamlining operations, enhancing decision-making, and unlocking efficiencies at scale. However, its autonomy introduces risks that conventional security frameworks were not designed to address. While this tension is real, it is not a zero-sum game. In fact, governance should be viewed as the "brakes" on a high-performance vehicle: they are not there to slow you down, but to give you the confidence to drive faster. Enter

The AI Security Gaps Enterprises Are Missing