Category: AI Governance
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Lack of U.S. AI Rulebook Complicates Compliance Planning
The United States has thousands of AI governance proposals in motion, and none builds a lasting national framework. For compliance teams, that means planning across jurisdictions without an anchor to design against.
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OpenAI Demos ChatGPT Work Admin APIs, But Governance Controls Stay Narrow
OpenAI demonstrated programmatic Admin APIs for ChatGPT Work that cover spend and adoption analytics. The demo did not show audit-log export, provisioning, or data-retention controls.
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Databricks Pitches Purpose-Scoped Authorization for AI Agents
Role-based access control tells you whether an agent may run a tool, not whether it should for the task at hand. Databricks proposes checking every tool call against a declared, human-approved purpose.
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NIST Explains Verifiable Credential Presentation for Zero-Trust Identity Teams
NIST has published an explainer on how holders present verifiable digital credentials and how verifiers check them, clar
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AI Governance Is the Competitive Advantage, Not the Constraint
Agentic AI delivers transformational business value, but its autonomy introduces risks conventional security frameworks weren’t designed for. Governance is the brake that lets you drive faster, not the constraint that slows you down.
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Oversight Models for AI Security: Human in the Loop vs. Human on the Loop
As agentic AI integrates into enterprise systems, selecting the appropriate oversight model is a fundamental security and compliance requirement, as critical as encryption or access management.
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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: here’s how to extend the DoD, NIST, and CISA pillars to close the gap.
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