Category: AI Security

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View BodySnatcher and the Missing Identity Layer
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By Adesh Gairola

BodySnatcher and the Missing Identity Layer

BodySnatcher (CVE-2025-12420) showed how AI agents with aggregated permissions can compromise entire platforms in seconds. Traditional security controls designed for humans don't work at machine speed. Organizations need threat modeling and runtime controls for all three layers: API auth, identity binding, and agent execution.

View Three Regulatory Philosophies, One Global AI Market
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By Adesh Gairola

Three Regulatory Philosophies, One Global AI Market

The EU (9/10 risk), US (5/10), and Australia (6/10) take vastly different approaches to AI regulation. Build for EU standards globally—the Brussels Effect means you'll need them anyway.

View Identity Crisis in AI Agents: Why Traditional IAM Is Breaking Down
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By Adesh Gairola

Identity Crisis in AI Agents: Why Traditional IAM Is Breaking Down

AI agents are breaking traditional identity and access management systems. From impersonation risks to cross-domain delegation chains, enterprises need new frameworks that balance autonomous operation with accountability and security.

View Shadow Coding: what, so what, now what?
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By Adesh Gairola

Shadow Coding: what, so what, now what?

Shadow coding—developers using unauthorized AI tools or code—is creating significant security and compliance risks. Organizations need balanced governance that enables innovation while maintaining security.