Monitor Agent Behavior. Govern What Ships.

Behavioral Monitoring & Governance
for AI Agents

Kurral captures runtime traces, validates behavioral risk, and enforces governance policies before unsafe agents reach production.

integration
baseURL: "https://api.kurral.com/api/proxy/<provider>/v1"
headers: {"X-API-Key": "kr_live_...", "x-kurral-agent": "support-agent"}
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No business logic rewrite. Base URL + headers.

Behavioral monitoring across all agent surfacesNo agent rewrite requiredPolicy decisions, not just findingsReplayable evidence for every findingCompatible with OpenAI, Anthropic, Gemini and other major providers

Works in development, CI, staging, and production incident response.

// How It Works

Connect in Minutes

Route traffic through Kurral or attach a lightweight SDK. Keep your existing model stack and wire in without rebuilding your agent logic.

Observe Real Agent Behavior

Capture runtime traces, tool provenance, execution context, latency, token usage, and the exact behavior that matters in security review.

Validate Risk and Decide What Ships

Run adversarial tests, evaluate policy, and publish release decisions with replayable evidence before unsafe behavior reaches production.

// The Control System
OBSERVE

Action Traces & Provenance

  • Session-level traces across model calls and tool usage
  • Tool call provenance with full behavioral context
  • Latency, token, and execution telemetry per run
  • Drift visibility across model, prompt, tool, and workflow changes
VALIDATE

Exploit Validation

  • Prompt injection, indirect prompt injection, and jailbreak testing
  • Tool abuse, data exfiltration, and privilege escalation checks
  • Permission boundary validation against observed runtime behavior
  • Run in CI or trigger targeted active red-team sessions
DECIDE

Policy Decisions & Release Gates

  • Policy-based decisions on risky agent behavior
  • GitHub checks and release gates for unsafe changes
  • Mode-aware control across CI, replay, and active red-team paths
  • Built for provider-neutral agent stacks
PROVE

Replay, Audit Trail & Review Evidence

  • Replay any finding or session with linked decision context
  • Proof-of-fix artifacts for remediation review
  • Side-by-side before/after evidence for security teams
  • Decision-grade audit trail from first detection through resolution
// Beyond Observability

One decision system for evidence, policy, and runtime control.

Kurral captures runtime behavior, validates exploit paths, controls releases, and governs agent actions across tools, providers, and execution surfaces -- all through a single decision trail.

// Security Review Readiness

Answer buyer and security questions with evidence from real runs.

When procurement or security asks about prompt injection resistance, tool abuse detection, or runtime drift, respond with evidence from actual runs, policy decisions, and replay artifacts rather than policy-only claims.

Request the Kit
// FAQ
[01]Do we need to rewrite our agents to use Kurral?
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No. Kurral is designed to sit alongside existing agent stacks with a lightweight integration path through proxy routing or SDK-based instrumentation.

[02]Is Kurral tied to one model vendor?
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No. Kurral is built as an independent layer across OpenAI, Anthropic, Gemini, and mixed agent environments.

[03]Is this just red-team scanning?
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No. Kurral combines runtime evidence, exploit validation, policy decisions, replay, and release control into one system.

[04]Who is this for?
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Kurral is built for teams deploying AI agents into environments where security review, runtime risk, and release control matter.

Ship agents with runtime evidence, not assumptions.

See how Kurral captures behavioral traces, validates risk, and enforces governance policies before unsafe agents reach production.

Book a Demo