Runtime Protection & Observability
AI Runtime Protection & Observability wraps your inference calls, agents, and MCP toolchains with adversarially trained guardrails that intercept unsafe inputs and outputs in ~10 ms. It is a real-time AI firewall that understands long-context, multimodal workloads while streaming rich telemetry back to engineering and security teams.
Adversarially Trained Guardrails
GA Guard models learn from Red Teaming attack data so they recognize subtle jailbreaks, injection attempts, and other emerging exploits while tagging every enforcement action to a specific policy.
Best-in-Class Performance
Delivers production-grade moderation with ~10 ms latency, 256k-token awareness, and multimodal coverage so safety never bottlenecks user experience.
Customizable Policy Enforcement
Bring your own policy documents or adopt prebuilt packs (PII, secrets, harassment, regulatory keywords) and enforce them at both input and output layers with configurable actions.
Fast Deployment via API/SDK
Drop-in SDKs and API wrappers slot into any architecture—from single-model endpoints to complex MCP servers—so you can stand up runtime protection in hours.
Observability & Agent Tracing
Live dashboards, streaming logs, hallucination detection, and agent reasoning traces provide a complete audit trail and help teams replay incidents with full context.









