Research

Evidence-backed analysis of agentic governance, security, and compliance.

Why "Same Access as the User" Is an Enterprise Anti-Pattern

Mirroring human access rights onto AI agents increases blast radius, weakens accountability, and conflicts with regulatory trajectory across EU, UK, and North American frameworks.

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The Governance Gap: Why Technical Teams Resist Agents in Production

Enterprise pushback against agentic AI is measured and rational. This research identifies the governance patterns that unlock adoption.

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Agent Levels: L1, L2, L3 Taxonomy

A quick-reference taxonomy of agentic capability tiers, from stateless reactive automation to goal-directed autonomy with mid-flight strategy adjustment.

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AI Autonomy Code

Frameworks for encoding autonomy boundaries and escalation protocols. How to express what an agent may decide alone and when it must defer to a human.

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AIOps Evolution

The fifteen-year ops evolution from DevOps through Platform Engineering to human-agentic multiplayer collaboration, and why AIOps needs a next generation.

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Agent-Human Communication Bridges

Mapping the FOSS landscape for multi-protocol orchestration across ACP, MCP, and A2A. Where the bridges are and where the gaps remain.

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