Coming Soon

AgentShield

Real-Time Guardrails for AI Agents

Monitor and block risky AI agent behavior in production—before it becomes an incident. Testing is not enough. Agents drift and environments change.

Why Runtime Protection Matters

Pre-deployment testing catches issues before launch—but production environments are dynamic. New data, changing permissions, and adversarial inputs mean your agents need continuous protection.

Environment Changes

New files, permissions, and integrations appear after testing. Agents need real-time guardrails to handle the unexpected.

Behavioral Drift

LLM-powered agents can slowly change behavior over time. Without monitoring, drift goes unnoticed until something breaks.

Active Attacks

Adversaries probe for weaknesses in production. Real-time detection and response is essential for enterprise security.

Key Capabilities

Real-Time Action Monitoring

Watch every action your agents take in production, with instant visibility into tool calls, API requests, and data access.

Anomaly Detection

ML-powered detection of unusual behavior patterns that could indicate compromise, drift, or misuse.

Automatic Intervention

Automatically pause, rollback, or escalate when agents attempt risky actions or violate policies.

Behavior Drift Alerts

Get notified when agent behavior changes over time, even if individual actions seem benign.

Continuous Compliance

Ongoing validation that agents stay within approved boundaries and compliance requirements.

Instant Response

Sub-second detection and response times to stop risky actions before they cause damage.

Early Access Program

We're working with a small set of design partners in 2026. Early partners get direct input into the roadmap and discounted pricing.

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