About us
AgentCompliant is the three-engine platform to deploy agents, govern how they behave, and prove compliance — built for teams who cannot afford blind spots or manual attestations.
Mission
Organizations are shipping AI agents faster than security, risk, and compliance teams can catalog them. Shadow agents, unclear ownership, and jurisdiction sprawl create a governance gap: policies exist on paper, but there is no continuous line of sight from regulation to runtime behavior to audit evidence. That gap is where incidents, fines, and failed audits start. As AI coworkers become part of every enterprise team, the governance gap between deployment speed and compliance capability is the biggest risk in enterprise technology.
We built AgentCompliant to shrink that gap by design. Discovery and inventory come first; permissions, monitoring, and kill switches attach to real identities; and compliance is evaluated against live rules — not static checklists. The goal is simple: when a regulator or board asks what your agents do and how you know they are compliant, the answer is already in the platform.
Approach
You cannot govern what you cannot see. We start with automated discovery and inventory across models and clouds so every agent is known, scoped, and attributable before policy applies.
Regulations, rules, and evaluations run continuously — not as a quarterly project. Mappings update when laws change, and evidence chains stay audit-ready without manual spreadsheet gymnastics.
The same governance and compliance layer works across Claude, GPT, Gemini, Llama, and more — on AWS, Azure, GCP, or OCI — so teams are not locked into a single vendor stack to stay compliant.
By the numbers
37+
Regulations tracked
31
Document types
4
Discovery channels
3
Engines (Deploy, Govern, Comply)
6
Model providers
Backed by
Accelerator and program partners will be listed here as they are announced.
Careers
We are growing the team behind Deploy, Govern, and Comply. If you care about safe, accountable AI in production, we would love to hear from you.