AgentTrust OS certifies, validates, governs, and continuously monitors agent behavior before critical business decisions are executed. The missing trust layer between AI agents and business actions.
As enterprises deploy thousands of agents across different frameworks, a new category of risk emerges that traditional security cannot address.
Traditional applications execute deterministic code. Agentic systems make decisions independently.
Traditional software behaves the same every time. Agentic systems adapt based on context and evolving inputs.
Traditional apps operate within fixed boundaries. Agentic systems call tools and external systems to act.
Traditional software follows predefined flows. Agentic systems generate plans before taking action.
Monitoring output alone is no longer enough. Risk lives in reasoning, tool calls, and execution paths.
Prompt injection is architectural. The best defense is to certify agents before deployment and govern them before execution. AgentTrust evaluates what agents plan to do, scores confidence and risk, and intervenes before harm happens.
Pre-production validation
Security, reliability, compliance, and guardrail testing through automated attack engines, reasoning analysis, and certification scoring.
Runtime decision control
Real-time validation, confidence scoring, and risk assessment. Auto-approve, escalate for review, or block execution before business actions run.
Enterprise accountability
Explainability, evidence trails, compliance reporting, and executive dashboards. Full traceability for CIOs, CISOs, and Risk Officers.
End-to-end trust for the full agent lifecycle — from pre-production certification through runtime governance to enterprise audit.
Independent certification of AI agents through security, reliability, compliance, and guardrail testing before they reach production.
Integrate with your agent framework or orchestration layer in minutes.
Run pre-production security, reliability, and compliance certification.
Deploy runtime validation, confidence scoring, and decision governance.
Capture explainability, evidence trails, and compliance reporting.
Block, escalate, or approve — before critical business actions execute.
Six specialized engines produce Security, Reliability, Compliance, Accuracy, and Guardrail scores with a final certification rating.
LangGraph, CrewAI, OpenAI, Claude, MCP, Python & Node.js
Prompt injection, jailbreak, tool abuse, memory poisoning
Thousands of repeated runs measuring consistency
Chain-of-thought, tool patterns, loops, hallucination risks
HIPAA, GDPR, PCI, SOC2, SOX, enterprise policies
Security, Reliability, Compliance, Accuracy, Guardrails
Explore AgentTrust on-prem deployment architecture & tools
“No AI Agent should enter production without AgentTrust Certification and Runtime Governance.”
AgentTrust runs inside your environment as Docker, Kubernetes, VM, Windows, Linux, or air-gapped deployments. No prompts, agent data, or business decisions leave your network — enabling adoption across regulated industries with near-zero latency.
Every certified agent and runtime execution contributes to a continuously expanding trust graph. Over time, AgentTrust learns which models, tools, workflows, and agent patterns are most likely to fail — enabling predictive risk scoring before deployment and creating a defensible data network effect.
Build safely with the enterprise trust layer for AI agents. Independent certification, real-time governance, and audit-ready explainability.
