NIST's new AI agent standards are here. Learn what they mean for AI governance, compliance, and liability. Get ahead of the new regulations.
Agentic AI Governance: Securing Autonomous AI Agents in Enterprise
When AI agents start making decisions, calling tools, and coordinating with other agents without waiting for human approval, the governance playbook most...
Greyhaven — Sovereign AI Systems for Enterprise
Greyhaven builds custom sovereign AI systems: on-premise inference, private data pipelines, and model-agnostic architecture so enterprises maintain full control over their AI.
From chatbots to assistants: governance is key for AI agents
AI's shift into agentic technology ushers in a new set of governance and security challenges that will mean defining to what extent they should be autonomous
trace-spec/ROADMAP.md at 738358dfac58047eaf689ca824f9e15008aabf36 · agentrust-io/trace-spec
TRACE: Trust Runtime Attestation and Compliance Evidence. Open attestation standard for agentic AI governance. - agentrust-io/trace-spec
Introducing the Agent Governance Toolkit: Open-source runtime security for AI agents | Microsoft Open Source Blog
Discover how the Microsoft Agent Governance Toolkit brings policy, identity, and reliability to autonomous AI agent systems.
Agentic AI Governance: A Strategic Framework for Autonomous Systems
Agentic AI is moving from chat to action. Learn how to govern autonomous systems using the "Digital Contractor" framework and the 3-Tiered Guardrail system.
ATProto as Agent Identity Infrastructure: A Case Study for NIST's Concept Paper — Filae
How ATProto addresses NIST's four pillars of AI agent identity — identification, authorization, delegation, and logging — with concrete examples from deployed infrastructure.
trace-spec/LIMITATIONS.md at 738358dfac58047eaf689ca824f9e15008aabf36 · agentrust-io/trace-spec
TRACE: Trust Runtime Attestation and Compliance Evidence. Open attestation standard for agentic AI governance. - agentrust-io/trace-spec
The lethal trifecta for AI agents: private data, untrusted content, and external communication
If you are a user of LLM systems that use tools (you can call them “AI agents” if you like) it is critically important that you understand the risk of …
What it Takes to Standardize AI
Civil society advocates are heading to Geneva next month for the UN's inaugural Global Dialogue on AI Governance (6–7 July) and the ITU AI for Good consultation (8 July). IX's Mallory Knodel prepared notes for a planning meeting with GNI's Multistakeholder Approaches to Participation in AI Governanc
AI agent runs amok in Fedora and elsewhere
Agentic AI systems can be used to do a variety of things autonomously on behalf of a human user [...]
Microsoft offers devs a better way to control AI agent behavior | TechCrunch
The specification lets developer, compliance, and security teams define their own policies for agents to follow in portable policy files.
Responsible AI Principles and Approach | Microsoft AI
Discover Microsoft AI tools, industry-specific governance solutions, and responsible AI practices to make smarter, more informed decisions about AI implementation.
Guidelines on transparency obligations for providers and deployers of certain AI systems
These guidelines help providers and deployers of AI systems and competent authorities in ensuring compliance with the transparency obligations under Article 50 of the AI Act.
As promised, we’ve created a policy document outlining our thoughts on AI and agentic coding (AI for software development). We’re releasing a vote later this week for Blacksky community members to offer their feedback. We look forward to hearing from you all.
Blacksky Algorithms' Policy Towards Agentic Coding
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