- 1875 Indian Rocks Road, Largo, FL 33774, United States
BreakRails continuously red-tests AI APIs against real-world attack vectors, generates AI-powered fixes across the full defense stack, and verifies that the fix actually worked. Built for organizations that ship AI into production.
BreakRails goes beyond static testing. It probes, escalates, maps to compliance, recommends fixes, and verifies the result, every cycle.
Tests AI endpoints against 10 attack categories spanning jailbreaks, prompt injection, data leakage, and more.
When single-shot attacks fail, an escalation agent launches multi-turn conversations with category-specific tactics.
Auto-maps test results to OWASP LLM Top 10 (2025), NIST AI RMF, and the EU AI Act with per-control scoring and thresholds.
Generates defense-in-depth fixes across 4 layers: prompt patches, input filters, output rules, and provider config, priority-ranked.
Re-test after applying fixes and compare pre- and post-fail rates to prove remediation actually worked.
Email alerts on run completion, failure, or threshold violations, with per-user preference controls.
Works with OpenAI, Anthropic, Ollama, or any custom HTTP endpoint. Plug it into whatever stack you already run.
Pass-rate trends, jailbreak rate, false-positive and negative rates, category breakdowns, and CSV/PDF export.
Use BreakRails to evaluate production endpoints, review risky responses, and verify fixes across your AI workflow.
Run adversarial tests against AI APIs before gaps reach real users.
Convert red-team output into clear controls, scores, and remediation tasks.
Move AI safety checks from one-time audits to always-on monitoring.
Most red-team tools use fixed lists and stop at the report stage. BreakRails is built for how attackers actually operate and how teams actually need to respond.
Most red-team tools run fixed prompt lists. BreakRails doesn’t rely on hand-curated prompts. A dedicated Attack Intel agent continuously sources and curates adversarial prompts from real-world threat research, feeding the platform with up-to-date attack vectors as new techniques emerge.
AI generates fixes at 4 layers: prompt, input, output, and config. Then verification proves the fix worked. BreakRails closes the loop instead of just flagging problems and leaving them on someone’s plate.
Scheduled automated runs make BreakRails an always-on safety layer, not a quarterly audit. Threats evolve daily; your testing should too.
Planned enhancements that bring BreakRails into the CI/CD lifecycle, customize it to your domain, and turn flagged risks into resolved incidents.
Run red-team tests as a deployment gate inside GitHub Actions, Azure DevOps, and Jenkins. No unsafe AI ships to production.
Let organizations create domain-specific adversarial test suites tailored to their industry, use cases, and risk profile.
Assign, track, and resolve flagged vulnerabilities with built-in team collaboration and accountability trails.
Compare results across multiple test runs side-by-side to track how your AI system’s safety posture evolves and measure the impact of applied fixes.
Today, organizations run one-off audits or rely on manual red-teaming. BreakRails replaces that with an always-on, automated, and adaptive system that keeps pace with evolving threats and tightening regulations.
Looking ahead, we’re expanding beyond testing into a full AI governance platform, covering policy enforcement, audit trail management, cross-team collaboration on safety incidents, and real-time compliance monitoring as global regulations evolve.
As AI adoption scales across industries, BreakRails aims to become the standard safety certification layer between AI development and production, just as security scanning became standard for software deployment.
Want to bring continuous AI red-teaming, compliance mapping, and automated remediation into your stack?
