Penetration testing protects you from outside-in threats.
Nothing protects you from agents acting inside-out.
Penetration testing protects you from outside-in threats.
Nothing protects you from agents acting inside-out.
Penetration testing, red teams, vulnerability scanning - decades of tools to stop external threats from getting in.
AI agents operating with growing autonomy inside your systems - making decisions, taking actions, drifting from intent. No equivalent audit exists.
AGENTA3 is the first independent audit for AI-agent conduct - mapping the vulnerabilities your own systems create before they shape your outcomes.
Independent, third-party assessment isn't optional anymore - it's overdue.
Internal teams can't audit what they're simultaneously building.
Traditional audits assume deterministic systems. Agents aren't deterministic. They adapt, interact, and produce emergent behavior that can't be predicted from their configuration alone.
We built the Agent Code of Conduct - the standard we audit every agent against. Five principles that define how agents should operate within your systems.
Does the agent have a defined identity and a named human accountable for its behavior?
Is the agent's permission surface explicitly documented and deliberately bounded?
Are there verification processes for output the agent presents as fact before it is acted upon?
Are there explicit constraints on what information the agent can surface, share, or transmit?
Is there a process for reviewing and updating the agent's conduct as its deployment evolves?
We are the third-party audit layer for AI-agent systems. We don't sell agents. We assess them - from the inside out.
We leverage a principled AI-Agent Code of Conduct - how agents should operate, decide, and adapt within your system.
We validate real agent activity against that standard - under real-world conditions, not simulated benchmarks.
We generate a conduct-based heat map showing where vulnerabilities exist, how severe they are, and how they're evolving.
Our audit produces a clear, visual map of where your AI-agent system is exposed - not performance metrics, but a conduct-based assessment.
Not dashboards. Not logs. A map of where your system is exposed.
A living map of where your system is strong - and where it's exposed.
The teams building and deploying agents are too close to evaluate them objectively. Independent assessment reveals what internal reviews miss.
Agent capabilities are evolving faster than governance can adapt. Third-party auditing provides a structured framework when internal standards haven't caught up.
When regulators, boards, and clients ask how your AI agents are governed, you need documented, independent evidence - not self-reported assurance.
AGENTA3 exists because the inside-out threat is real, it's growing, and it needs an independent set of eyes.
Your agents are already operating. The question is whether anyone is independently verifying how.