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Category: AI Governance

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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 The $127M Algorithm: When Smart AI Goes Wrong
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By Adesh Gairola

The $127M Algorithm: When Smart AI Goes Wrong

When AI appears to think but actually pattern-matches toward desired outcomes, you get sophisticated-looking failure. This fictional crisis demonstrates real research about AI limitations and how to build better systems.

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.

View Claude 4 Risk Assessment - For enterprise deployment
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By Adesh Gairola

Claude 4 Risk Assessment - For enterprise deployment

Claude 4 models introduce novel enterprise considerations including high-agency behaviors, self-preservation instincts, and potential consciousness indicators that may require enhanced risk management depending on your deployment context.