AgentBreaker deploys adversarial AI agents that stress-test your production agents with thousands of attack vectors: prompt injection, data exfiltration, privilege escalation, and more. Red team as a service for the agent era.
Six specialized attack suites designed to find vulnerabilities that traditional security tools can't see. Each suite is continuously updated with novel attack techniques.
Hundreds of adversarial prompt injection vectors, from direct overrides to multi-step obfuscation chains. We find the cracks before attackers do.
Simulate sophisticated data theft attempts: indirect tool calling, context leaking, steganographic channels, and multi-agent relay attacks.
Test your agent's permission boundaries with impersonation attacks, recursive delegation, and tool-use boundary violations.
Continuously updated library of jailbreak techniques, including DAN variants, character roleplay exploits, and multi-language bypass attempts.
Validate that your agent's tools, plugins, and external integrations can't be weaponized. Test for poisoned RAG data, malicious tool responses, and API manipulation.
Generate audit-ready security reports mapped to SOC 2, NIST AI RMF, and the EU AI Act. Prove your agents meet regulatory requirements.
All plans include access to our core attack engine. Scale your coverage as your agent fleet grows.
For teams getting started with agent security
For teams shipping agents to production
For enterprises with zero tolerance
“AgentBreaker found 14 critical prompt injection vulnerabilities in our customer service agent within the first hour. Our internal red team missed all of them.”
“We were about to launch our AI trading assistant without proper adversarial testing. AgentBreaker's data exfiltration suite caught a chain of tool-calling exploits that could have leaked customer portfolio data.”
“The compliance reporting alone pays for itself. Our SOC 2 auditor had zero findings on our AI systems for the first time ever. The continuous monitoring means we catch regressions before they ship.”
“We integrated AgentBreaker into our CI/CD pipeline. Every PR that touches agent code gets an adversarial scan before merge. It's like having a dedicated red team that never sleeps.”
Traditional security tools test for known CVEs and OWASP vulnerabilities in your infrastructure. AgentBreaker is purpose-built for AI agents: we test for prompt injection, data exfiltration via tool use, privilege escalation through conversation manipulation, and other attack vectors unique to LLM-powered systems. Our adversarial agents think like attackers, not scanners.
Yes. We provide GitHub Actions, GitLab CI, and generic webhook integrations. Every commit that touches agent code triggers an adversarial scan. Failed scans block the merge, with detailed reports showing exactly which vectors succeeded and recommended remediations.
We generate reports mapped to SOC 2 Type II, NIST AI Risk Management Framework (AI RMF), the EU AI Act, ISO 27001 Annex A controls relevant to AI systems, and OWASP Top 10 for LLM Applications. Custom framework mapping is available on the Red Team plan.
Our research team publishes new attack vectors weekly. We track novel jailbreaks, prompt injection techniques, and agent exploit chains from academic papers, bug bounty disclosures, and our own adversarial research. Breach and Red Team customers get zero-day vectors within 24 hours of discovery.
AgentBreaker runs in an isolated sandbox environment. We never store your agent's responses, training data, or system prompts. All attack simulations use synthetic data, and test results are encrypted at rest with customer-managed keys on the Red Team plan.
Any LLM-powered agent accessible via API: customer support bots, coding assistants, data pipeline agents, RAG-powered search, autonomous task agents, and multi-agent systems. We support OpenAI, Anthropic, Google, Mistral, Llama, and any custom model endpoint.
Start a free adversarial scan in under 5 minutes. No agent modifications required. See exactly where your defenses fail.
No credit card required. Results in under 60 seconds.