Test AI Agents for
Reliability, Security & Compliance
ATHelper proves your AI agent is reliable, secure, and audit-ready — before you ship, and on every deploy.
Reliability
Score task success, tool-call accuracy, and recovery — track regressions in CI.
Security
Built-in adversarial probes for prompt injection, jailbreaks, and tool abuse.
Compliance
Every test run becomes EU AI Act / NIST AI RMF audit evidence — exportable in one click.
Three Pillars of Agent Testing
One platform. Reliability, security, and compliance — measured continuously, on every deploy.
Test Whether Your Agent Actually Works
Define success in YAML. Replay scenarios across model versions. Catch tool-call errors and infinite loops before production.
Test for Attacks Before Attackers Do
Prompt injection, indirect attacks, jailbreaks, tool abuse — adversarial probes ship with every reliability run.
Every Test Run Becomes Audit Evidence
Continuous monitoring, risk classification, signed traces. Export EU AI Act Article 85 / NIST AI RMF artifacts in one click.
Untested Agents Don't Ship. Tested Agents Don't Get Breached.
The numbers behind why reliability and security testing is the new gate for shipping AI agents.
Source: Deloitte State of AI 2024. Reliability is the gate.
Source: PwC CISO Pulse 2025. Hallucination, data leak, prompt injection — within 12 months.
Article 85: high-risk AI systems must produce continuous testing evidence.
Get a free reliability & security test run for your agent
We're onboarding a limited cohort of design partners ahead of the EU AI Act deadline. Bring your agent endpoint — leave with a Trust Score and an evidence pack.
Frequently Asked Questions
Any agent reachable via HTTP, WebSocket, or a SaaS API: customer-support agents, internal copilots, RAG pipelines, browser-using agents, multi-tool function-calling agents. Connect by endpoint or by SDK adapter — no source-code access required.
LLM eval tools score single prompt-response pairs. ATHelper tests the agent: multi-turn flows, tool selection, recovery from tool failures, and end-to-end task success. We treat the LLM as one component inside the system you actually shipped.
We maintain a continuously updated probe library covering prompt injection, indirect attacks (poisoned docs, malicious tool outputs), jailbreaks, tool abuse, and data exfiltration patterns. Probes run alongside reliability scenarios — same trace, same dashboard, same CI gate.
The pack is designed against Article 85 conformity assessment requirements and NIST AI RMF profiles, with continuous monitoring logs, risk classification, and signed traces retained for 12+ months. We work with Big 4 audit partners; final acceptance always sits with your designated notified body.
GitHub Actions, GitLab CI, and a pytest plugin out of the box. Reliability and security tests run on every PR, fail the build on regressions against your baseline, and post a Trust Score diff back to the pull request.
Ship AI Agents With Confidence
Run a free reliability & security test on your agent and get an EU AI Act evidence pack you can hand to your auditor.