Insights on AI governance
Our perspectives on securing agentic systems in the enterprise.
Securing the agentic enterprise.
Enterprise AI is moving from prompts and answers to long-running agents with permissions, tools, data access, and decision authority.
Articles
June 5, 2026
An agent in human's clothing
Agents need governed non-human identities that inherit from humans, narrow by task, and expire by default. Otherwise agent access collapses into shared service accounts with better language models.
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May 29, 2026
Who deleted the database?
Attribution sounds like a log lookup. In an agent world it is a hard correlation problem: the human, the agent, the approval, and the action live in separate systems with no shared key. Forge reconstructs the chain per platform, with deterministic rules where the format is known and LLMs where it is not.
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May 11, 2026
Policy that hardens itself
The same agent action can be routine or a breach depending on context, so the right policy can only be derived from real behavior. Securing agents is a data and analysis problem: capture what agents do, fuse it with process, network, and identity, and automate the hardening loop.
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