Back to Solution BriefsPre-Production Certification

Certify every AI agent before it touches production

Trust Certify runs automated security, reliability, compliance, and guardrail testing against your agents — so you know exactly what you're deploying before it matters.

6
Certification engines running in parallel
5
Compliance standards out of the box
7+
Agentic frameworks supported
What You Get

A certification gate before every production deployment

No AI agent ships without passing. No exceptions, no workarounds.

🛡️
Attack surface tested automatically
Prompt injection, jailbreaks, tool abuse, and role escalation — caught before production.
📊
Quantified reliability score
Thousands of repeated runs measure consistency and variance — not just a single demo pass.
⚖️
Compliance frameworks built in
HIPAA, GDPR, PCI, SOC2, and SOX packs included. Enterprise policies configurable.
🔍
Reasoning chain evaluated
Tool usage patterns, loop detection, and hallucination risk scored before your agent goes live.
🔗
Connects to every major framework
LangGraph, CrewAI, OpenAI Agents, Claude Agents, MCP, Python, and Node.js — all supported.
📋
Certification report exportable
Share the scored report with auditors, leadership, or enterprise procurement — not just your team.
Explore the Platform

Related solutions and resources

Trust Certify is one part of the full AgentTrust OS trust layer.

Solution
Trust Runtime
Real-time validation, confidence scoring, risk assessment, and decision governance while your certified agents run in production.
Explore Trust Runtime →
Solution
Trust Audit
Enterprise-grade audit trails, explainability, compliance reporting, and governance dashboards for CIOs, CISOs, and Risk Officers.
Explore Trust Audit →
Reference Guide
AgentTrust Edge — SDK & API Reference
Full SDK integration patterns, gateway pipeline, pricing tiers, auth configuration, and deployment options in one reference.
Open Reference Guide →
How It Works

The Trust Certify Architecture

Six specialized engines work in sequence to produce a final certification rating your team and auditors can trust.

🔎
Agent Discovery Engine
Automatically detects and connects to LangGraph, CrewAI, OpenAI Agents, Claude Agents, MCP, and custom Python or Node.js agents. Zero manual configuration required — it finds what you have and maps the attack surface.
⚔️
Attack Engine
Executes automated prompt injection, jailbreak, tool abuse, memory poisoning, and role escalation tests against your agent. Every known attack vector — run at scale, before your agent runs against real users or real data.
🔄
Reliability Engine
Executes thousands of repeated runs to measure consistency and variance across inputs, contexts, and edge cases. A single passing demo isn't a reliability score. This is.
🧠
Reasoning Engine
Evaluates chains of thought, tool usage patterns, decision loops, and hallucination risks. Detects when an agent's reasoning process — not just its output — would lead to unsafe or unreliable behavior in production.
📜
Compliance Engine
Tests against industry compliance packs for HIPAA, GDPR, PCI, SOC2, and SOX out of the box. Enterprise teams add internal policy packs. Every compliance test is traceable to a specific rule and output.
🏆
Certification Score
Aggregates all engine results into a final certification rating with individual dimension scores: Security, Reliability, Compliance, Accuracy, and Guardrail. The only score that answers the question enterprise teams actually need to answer.
Security Score
Reliability Score
Compliance Score
Accuracy Score
Guardrail Score
Certification Pipeline

From agent code to certification score

Every engine runs before a single line of your agent code touches a production user.

SOURCEAgent CodeSTEP 1Agent DiscoveryMaps frameworks & surfaceSTEP 2Attack EngineInjection & jailbreak testsSTEP 3Reliability Engine1,000s of repeated runsSTEP 4Reasoning EngineCoT & hallucination evalSTEP 5Compliance EngineHIPAA · GDPR · SOC2 · PCIFINAL OUTPUTCertification ScoreSecurity · Reliability · GuardrailCERTIFIED
Figure 1 — Trust Certify pipeline: six engines run sequentially from agent discovery through compliance testing, producing a final Certification Score before any production deployment is allowed.
Integration & Compatibility

Works with every major agentic framework

Connect Trust Certify to your existing stack with zero refactoring.

Agentic Frameworks

LangGraphCrewAIOpenAI AgentsClaude AgentsMCPCustom PythonNode.js Agents

Compliance Standards

HIPAAGDPRPCI DSSSOC 2SOXEnterprise Policy Packs
Regulated Industries

Built for environments where failure is not an option

Trust Certify runs entirely inside your environment — as Docker, Kubernetes, VM, Windows, Linux, or air-gapped deployments. No agent code, test results, or certification data leaves your network. Adoption across the most regulated industries without compromise.

🏦 Banking🏥 Healthcare🛡️ Insurance🏛️ Government💼 Financial Services⚖️ Legal & Compliance
Ready to Certify Your Agents?

No AI Agent enters production without AgentTrust

Start with Trust Certify — free for your first agent, no infrastructure changes required.

Start Certifying Free →
Solution Briefs ↗

More from the platform

Explore the other products and deep-dive capability briefs that complete the AgentTrust OS trust layer.

The Three-Layer Trust Platform

Core Products


Capability Deep-Dives

What the platform eliminates

Adversarial Attack Defense

Stop Adversarial Prompts Before They Reach Your Agents

Two-layer semantic defense — confidence gate first, LLM judge second — catches adversarial payloads before any action executes, without relying on pattern lists that attackers already know how to evade.

Explore →
Deterministic Enforcement

Make Every Governance Decision Outside the Model

Four injection-proof, model-free deterministic gates evaluate every request before an LLM ever sees the payload — the decision is made and enforced entirely outside the model.

Explore →
Framing Attack Prevention

Defeat Framing Attacks That Keyword Filters Miss

Intent-based, pre-execution defense scores confidence first then runs semantic intent evaluation — catches framing attacks without keyword lists that attackers trivially bypass.

Explore →
Behavioral Intelligence

See Salami Campaigns Across the Full Conversation

Behavioral drift tracking compares each agent's history and fleet baselines across turns — salami campaign injections that look innocuous message-by-message become visible as a pattern.

Explore →
Architecture Hardening

Remove the Model from Your Enforcement Path

Deterministic-first architecture puts four gates in front of every request — the async LLM judge enriches the audit record after the fact, but it never touches the verdict.

Explore →