Eliminate Shadow AI. Automatically inventory assets embedded in compiled code, files, and applications to secure the hidden attack surface.
Context-aware risk assessments
Deep context of what your AI risk is, where it lives, and how it impacts your organization. Detect threats like model serialization attacks, instantly separating safe models from liabilities.
Active protection at runtime
Stop unsafe AI inputs and outputs in real time. Enforce guardrails on AI applications, blocking risky behaviors and unsafe actions.
Policy-driven governance
Automate and validate compliance. Continuously verify AI posture against frameworks like EU AI Act or NIST and enforce internal mandates.
Secure your AI assets
Inventory & discovery
Deep discovery. Inventory models, agents, MCP servers across your environments.
AI security posture insights
Visualize risk. View usage trends, aggregated risk scores, and security posture changes in one pane.
Risk assessment
Correlate findings across the entire stack to prioritize the risks that actually matter. Deep dive into lineage, code, and models.
Guardrails & runtime protection
Real-time detection of jailbreaks, sensitive data exposure, and unsafe AI responses. Proactively stop active attacks.
CI/CD integrations
Scan code in pull requests. Automate security gates at the earliest stage of development.
Custom policy & rule builder
Build custom rules to enforce policy and governance across your AI assets.
Compliance reports
Automate report creation for stakeholders and external audits – from EU AI Act and NIST to OWASP.
