We started deploying AI agents into production workflows earlier this year and almost immediately ran into the same uncomfortable realisation that I suspect a lot of teams are quietly sitting with right now, we had no clean answer to the question of what our agents were actually allowed to do, on whose behalf, and whether we could prove it after the fact. Our existing identity infrastructure was built entirely around human users. Agents were an afterthought at best, a blind spot at worst. Agentic Fabriq drops into your existing stack via SDK and API without requiring you to redesign your infrastructure, and that integration story is genuinely the first thing that won us over. We didn't want to rip out what was working for human identity just to handle agents. It works with any agent framework or custom build, LangChain, CrewAI, AutoGen, OpenAI Agents, and more which meant we could instrument our existing agents without rewriting them around a new platform's conventions. The core model is clean teams add a TypeScript or Python SDK, register their agents and tool connections, and set per-role policies so agents act only with the permissions of the user who invoked them. That user-scoped delegation model is exactly the right mental framework for the problem. An agent acting on behalf of a specific user should be constrained to that user's permissions not elevated, not ambient, not inherited from whoever deployed it. Fabriq enforces that boundary on every call, which is the kind of least-privilege thinking that human identity tooling figured out a decade ago but the agent world is only now catching up to. Agents never store sensitive secrets, Fabriq handles all tokens, credentials, and delegated access securely, integrating with existing identity providers. That detail alone removed a category of security concern we had been managing manually and inconsistently across different agent deployments. The audit log capability is where it pays back most visibly from a compliance standpoint. Every action every agent takes is logged, searchable, signed, and centralised. Before Fabriq, reconstructing what an agent had done during a specific workflow required piecing together logs from four different systems. Now there is one place to look, and the trail is complete and tamper-evident. For anyone in a regulated environment or preparing for a security audit, that shift from "we think the agent did this" to "here is a signed record of exactly what it did" is not a marginal improvement, it changes the compliance conversation entirely. Admins get SSO integration, role-based access controls, and instant revocation which means the operational model for managing agents starts to look like the operational model for managing human users, which is what you want when you're trying to govern both within the same security programme. Agentic Fabriq