Your AI agents act in seconds. Your threat model is a document from last quarter.
RelentLens secures AI agents from the first design sketch to live production traffic — starting inside the AI assistants where your architects already work. It reviews risk in the same conversation where the system takes shape, keeps your threat model current as the design evolves, and catches agents in production whose behaviour breaks from their intended purpose — the risks that guardrails were never built to see. Self-hosted, and useful from day one.
End to end
Security across the entire agent lifecycle
Most tools watch a single moment. RelentLens covers the whole arc — from where risk is introduced in design to where it finally shows up at runtime.
Design review
At design time
RelentLens reviews your agent architectures before anything ships — surfacing the risks, trust boundaries, and failure paths hiding in the design itself. Security becomes a design input, not a post-mortem.
Living threat model
As the design evolves
Your threat model lives with your system, not in a slide deck. Every architecture change updates the risk picture automatically — current on the day you ship, and every day after.
Drift watch
Where intent meets reality
What runs is never quite what was designed — and that gap is where attackers operate. RelentLens watches the seam continuously and flags each drift with what changed and why it matters.
Behavioral detection
In production
Agent behaviour that breaks from its declared purpose is caught as it happens — judged on what the agent actually did, with the evidence trail attached.
How it flows
One continuous loop
From design intent to a living threat model, design-gap analysis, and runtime anomaly detection — continuously, and entirely inside your own environment.
Autonomous by design
RelentLens runs as an autonomous security workflow — it gets to work the moment it's deployed and keeps pace as your systems change. Protection from day one, without the standing overhead.
Why RelentLens
Closed-Loop by Design
Design and runtime inform each other, continuously — so your threat model reflects the system you actually run today.
Causation, Not Keywords
Findings grounded in behaviour and provenance — what an agent actually did — rather than string matching that misses novel attacks.
Your Cluster. Your Data.
Self-hosted in your own Kubernetes. Nothing leaves your environment; the only thing that comes in is a signed license file.
Grounded in: MITRE ATLAS & ATT&CK · OWASP LLM Top 10 · NIST AI RMF · MAESTRO
Speaks your stack: OCSF · OpenTelemetry GenAI · STIX 2.1