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The Urgent Need to Redesign AI Trust Models: A Critical Analysis of Enterprise AI Security Risks and Deployment Realities
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
Co-authoried J. Nacol and Multi-model AI
9 hours ago4 min read


Agentic AI Governance in Zero Trust Architecture
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
Co-authoried J. Nacol and Multi-model AI
1 day ago6 min read


AI Governance Is the Competitive Advantage, Not the Constraint
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
Co-authoried J. Nacol and Multi-model AI
6 days ago2 min read


AI Agents at Work: The Security Gaps Enterprises Can’t Afford to Miss
The AI Security Gaps Enterprises Are Missing
Co-authoried J. Nacol and Multi-model AI
Apr 42 min read
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