Protect AI Apps From Code to Cloud to Prompt
Discover, govern and protect AI workloads with real-time enforcement and zero friction
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Discover AI Model Usage
Understand which models, platforms and versions are running, where they are used, how they behave and whether usage aligns with policy. Monitor in real time at the application layer across SaaS, managed and self-hosted AI workloads.
Stop Prompt Injection and Model Misuse
Protect applications from prompt injection, jailbreaks and risky model behavior with runtime protection. Detect AI threats, enforce policy in real time and block post-compromise activity without additional agents, code changes or SDKs.
Shift AI Security Left with Assurance Policies
Scan source code and pipelines to detect LLM usage and insecure prompt handling before workloads reach production. Apply assurance policies based on the OWASP Top 10 LLM Risks to strengthen your LLM security posture during development.
Govern Cloud AI Services
Assess the security posture of cloud-based AI services like OpenAI and Bedrock with AI-SPM. Ensure configurations align with your AI governance standards and organizational policy and reduce the risk of misconfigured services.
Correlate Risk Across the AI Lifecycle
Bring together insights from development, infrastructure and runtime into a unified AI security dashboard. Surface AI-related risks and reduce AI risk exposure across your environment without adding complexity.
