About AgentGate
The trust infrastructure autonomous agents should have had from the start.
AgentGate exists to give every enterprise a way to answer one question — before it's too late: can I trust what my autonomous agents are doing, right now?
Not after the export fires. Not after the audit flag. Before.
Why we built this
In 2025, autonomous AI agents moved from research curiosity to production infrastructure — faster than any security framework could keep up. The tools enterprises had were built for humans: OAuth for user identity, RBAC for resource permissions, SIEM logs for after-the-fact audit. None of them understood what it meant for an agent to delegate a task to a sub-agent, or to read 40 files in 3 minutes before attempting an export.
We started building AgentGate because we couldn't find a tool that asked the right question — not "did this agent have permission?" but "should this agent be doing this, right now, given everything it has done in the last 24 hours?"
The answer required a new kind of layer — one that scores trust across four dimensions per request, understands delegation chains, detects multi-step attack patterns, and can block an action before it executes. Not a wrapper. Not a logger. A Policy Decision Point built specifically for agents.
Why 2026
The regulatory and threat landscape converged at the same moment agents went mainstream. Teams that ship agent pipelines today without governance controls are accumulating technical debt that will become a compliance liability in months.
OWASP LLM Top 10 — 2025
Excessive Agency
Agents granted permissions beyond their declared scope, acting outside their intended purpose. Listed as a critical risk.
MITRE ATLAS — 2024
Adversarial ML tactics
Reconnaissance, privilege escalation, and data exfiltration now formally catalogued for AI systems.
EU AI Act — August 2026
High-risk obligations
Enterprises have months, not years, to implement audit trails and governance controls for high-risk AI deployments.
What we believe
Pre-execution, not post-hoc
Logging what agents did is forensics. We built authorization — knowing before execution whether an agent should be allowed to act. The damage window is zero.
Open source by default
Infrastructure you can't audit shouldn't be load-bearing. AgentGate is MIT-licensed and fully open. Every scoring algorithm, every detection pattern, every audit record is inspectable.
Framework agnostic
We don't own the agent runtime. We sit beside it. AgentGate works with any LLM framework, any cloud, any language — without asking you to rewrite anything.
Authorization is layered, not binary
Trust scoring stops most threats before execution. Output scanning, kill chain detection, trust contagion, and Merkle-verified audit trails handle the rest. Real enforcement is a stack, not a checkpoint.
Want to talk about what you're building?
We're onboarding select enterprise pilot teams. Direct access to the founding team.