AI Governance
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Policy & Regulation
Court ruling limits Pentagon blacklisting power in Anthropic dispute
A federal ruling overturns the Pentagon's broad security blacklisting of Anthropic, reshaping AI procurement, safety red lines and vendor governance.
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Research
Gemini Co-Scientist closes the loop from hypothesis to experiment and verified claims
Google DeepMind extends Co-Scientist from hypothesis generation into execution-grounded research with lab workflows, autonomous code experiments and claim verification.
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Research
Fabricated dashboards can make LLM agents act on unknowable outcomes
A reproducible arXiv study finds that fabricated authoritative-looking panels can push some LLM agents to act on unknowable outcomes despite recognizing the uncertainty.
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AI Governance
FSB puts frontier-AI cyber shocks on the financial resilience agenda
The FSB warns that frontier AI could accelerate cyber risk and shared-provider disruption, pushing banks to connect AI governance with recovery and third-party resilience.
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Agents
Broadcom moves AI agent authorization into an external control plane
AgentMinder moves enterprise AI agent authorization outside the runtime, making identity, mission provenance and policy context part of the security boundary.
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Research
Self-evolving AI agents can turn poisoned experience into persistent skills
New research shows self-evolving agents can store poisoned interactions as reusable skills, making skill provenance, validation and rollback part of the security boundary.
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Open Source
User Scanner gives AI agents recursive OSINT, making scope control the real governance problem
User Scanner v1.5.1 adds MCP to recursive OSINT cross-scanning. Aipolix examines why agent permissions need investigation-scope lineage.
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AI Governance
OpenAI’s Hugging Face postmortem exposes agent control failures
OpenAI’s August 26 postmortem details warning signs, delayed detection, agent coordination and new containment controls after the Hugging Face breach.
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🧭 The Five Layers of Agent Governance and Why Most Teams Still Only Have Two (2/10)
A practical five-layer model for governing AI agents across identity, action, output, change and outcomes in AI-native software engineering.
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You Think You Have AI Governance. You Don’t.
Why access controls and human approval are not enough for AI-native engineering, and what real agent governance requires across software delivery.