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memory-governance-ai-security

What Is Memory Governance (and Why Is It Important for AI Security)?

TL;DR: Memory governance defines how AI systems retain, use, and expire state across time. Done right, it improves accuracy and efficiency while enforcing privacy, retention, and access controls. Enterprises should implement runtime policy checks, scoped memory tiers, and full audit trails…

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OpenAI Atlas Security Risks: What Enterprises Need to Know

On October 21, OpenAI launched ChatGPT Atlas, a Chromium-based browser that integrates ChatGPT directly into the browsing experience. Perplexity launched Comet earlier this month, The Browser Company released Dia, and both Chrome and Edge now include embedded AI capabilities. Atlas combines…

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What Our Latest 2025 AI Security Research Reveals About Enterprise Risk

We just released our inaugural State of AI Security report, based on research with 275 security and IT leaders across the United States.  The findings confirm what I’ve been observing in conversations with enterprise leaders: they’re struggling to secure and govern…

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shadow-ai-management

What is Shadow AI?

Shadow AI refers to employees using artificial intelligence tools—often generative AI—without approval or oversight from IT, security, or compliance teams. These unsanctioned tools can expose sensitive data, create compliance gaps, and weaken security controls. Understanding what Shadow AI is, why it spreads, and how to manage it is now a critical priority for CIOs, CISOs, and governance leaders.

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