Agents
Microsoft turns Copilot into a runtime for persistent workplace agents
Microsoft adds Copilot Home, Code, Autopilot and Managed Runtime, creating a governed execution layer for persistent workplace agents.
Agent Governance
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Research
Anthropic's Project Swap finds the hard part of agent markets may be knowing what people want
Anthropic's 201-person Project Swap experiment suggests agentic markets may be limited more by understanding user preferences than by bargaining skill.
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Research
Agent governance needs enough context to decide, not just more policy
New research formalizes how to derive the minimum runtime observations an agent authorization gate needs, with reproducible code and clear limits.
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Agents
Grok Bot Galaxy puts persistent agents on real work, but the live demos are not a benchmark
SpaceXAI’s Grok Bot Galaxy puts persistent agents into role-specific workflows. Aipolix examines what the live event can show, and what it cannot prove.
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AI Governance
Microsoft’s new AI code makes human control a behavior requirement
Microsoft’s draft Humanist AI code emphasizes corrigibility, shutdown and human control. The key question is whether the principles become auditable tests.
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Agents
CrowdStrike moves AI agent security from prompts to runtime execution
CrowdStrike Falcon Guardian links prompts and tool calls to endpoint actions, adding runtime controls for enterprise AI agents.
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🪜 The AI-Native Governance Maturity Model (10/10)
A six-stage AI governance maturity model based on runtime evidence, enforcement, measurement, risk proportionality and verification probes.
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🛑 AI Governance Fails Without Containment (6/10)
Why agent governance needs runtime containment: stop mechanisms, blast-radius controls, rollback, behavior canaries and recovery evidence.
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🧩 AI Agents Need Contracts, Not Better Prompts (5/10)
How versioned agent contracts define scope, tools, budgets, refusal, escalation and evidence, and turn AI governance into enforceable runtime behavior.
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⚙️ The Executable Policy Layer: Why AI Governance Dies Before Runtime (4/10)
How runtime policy decisions, enforcement points, state-aware rules and evidence turn AI governance from documentation into operational control.