Automated compliance red-teaming in your evaluation pipeline.
Surfacing the failures regulators and auditors will catch, before your model ever reaches production.
One-line setup in your eval harness (model.eval, custom test rigs) or CI/CD pipeline. Works with chatbots, voice agents, or any LLM app. No new tools, no disruption.
From evaluation harness to CI/CD, we make every release regulator-proof before it ever touches production.
Every feature is designed to stress-test your agents like an adversary, and give you audit-proof evidence regulators can't ignore.
Dozens of specialized RL agents coordinate to uncover hidden compliance and security failures your eval sets miss.
Agents learn from each probe and escalate, simulating real-world attackers and regulator scrutiny.
Full-spectrum testing across chatbots, IVRs, call centers, and multimodal LLM apps.
Chain of evidence with reproducible prompts, conversation traces, and timestamped artifacts.
Comprehensive testing across FINRA, Reg BI, CFPB, MiFID II, GDPR, LGPD, CVM 30, and more. Every violation is tied to a citation.
Run compliance as a metric in your model.eval harness or as a gate in your CI/CD pipeline.
We simulate real-world use of your AI agents (chatbots, voice bots, LLM apps) and run them through compliance, security, and quality stress tests. Every risky response, disclosure failure, or regulatory violation is flagged during evaluation, before your model reaches production.
We currently test across FINRA 2210, SEC Reg BI, GDPR, SEC 17a-4, CVM 30, CFPB UDAAP, MiFID II, COBS, LGPD, PRIIPs, and Bacen Res. 4.539. Each finding is tied to the relevant citation, so you get audit-ready evidence aligned with the frameworks that matter to you.
Yes. Our 'Risk Scan' service works without CI/CD or eval hooks. Upload your model or chatbot endpoint and receive a compliance + red-team report in under a week.
No. We generate synthetic scenarios and use controlled test harnesses (not live customer data) . You decide what's tested, and no sensitive information leaves your environment.
Two ways: ML/AI teams: Drop us directly into your evaluation harness (model.eval or custom test rigs) to run compliance and stress tests alongside accuracy and performance metrics. DevOps / Security teams: Run us as a CI/CD gate (GitHub Actions, GitLab CI, Jenkins, etc.) to block risky releases before they ship.
Manual review is slow, inconsistent, and expensive. Our reinforcement-learning swarm runs thousands of targeted probes automatically, surfacing edge cases humans miss, at a fraction of the time and cost.
You get a structured violation report: severity rating, regulatory citation, and full conversation traceability. Each report includes remediation guidance, so fixes are fast and audit defense is bulletproof.
Finance is our initial focus, where regulation is toughest. But the platform applies to any regulated industry, like healthcare, insurance, government, and beyond...
Leading banks and fintechs use Vigilium to run compliance red-teaming as part of their eval harness and CI/CD pipelines, surfacing failures before regulators or customers ever see them.
Advanced AI-powered compliance testing built for enterprise scale. Ensuring your AI systems meet regulatory requirements.
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