Adopt AI in your security operations safely. Govern and audit every model call and digital worker, catch prompt injection and shadow AI, and map it all to ISO 42001 and the NIST AI RMF.
AI is already in your environment — in tools, in workflows, and in the digital workers doing security jobs. AI Security makes that adoption something you can see, control and evidence, instead of something you hope is fine.
Every AI action in your security operations is logged, attributable and reviewable. Keep a human in the loop where it matters, and prove what the AI did — and didn't — do.
Prompt-injection patterns, LLM data exfiltration, anomalous AI API usage and compromised model credentials — detected in the same pipeline as the rest of your signals.
Discover the AI tools and model endpoints in use across your environment from the logs you already collect — including the ones nobody told you about.
AI governance is a first-class framework alongside PCI and ISO 27001 — model inventory, AI-specific evidence and board-ready AI risk reporting, mapped to ISO 42001 and the NIST AI RMF.
Models, endpoints and digital workers discovered
Policy, approvals and human-in-the-loop applied
Every call audited, AI-specific threats detected
Mapped to ISO 42001, NIST AI RMF, reported
Move on AI in the SOC without betting the farm. Put digital workers to work with the guardrails, audit trail and expert support to back it up.
Treat AI governance like any other framework — model inventory, evidence and reporting mapped to ISO 42001 and the NIST AI RMF, sourced from live data.
Know exactly what every digital worker did, keep a human in the loop where it counts, and prove it to an auditor.
AI Security isn't a bolt-on. It runs on the same data, feeds the same threats and evidences the same controls as the rest of the platform.
Shadow-AI discovery and model-call auditing run on the logs you already collect. No second footprint.
AI-specific detections run in the same pipeline as every other signal — clustered into threats, not siloed.
Vulnerable model dependencies, ML libraries with CVEs and exposed model endpoints tracked alongside your asset inventory.
AI governance is a first-class framework — model inventory and AI evidence collected continuously, like every other control.
