Control health that
updates in real time.
Define controls as signals with thresholds and confidence intervals. Segment by model, version, prompt, tool, or environment. Get drift alerts when behavior changes.
Deployment Drift Timeline
Scrub recent runtime shifts to review exactly when controls moved, when alerts fired, and when mitigation evidence was produced.
Prompt policy rollback and evidence refresh run triggered automatically.
Define controls as signals
Set thresholds and confidence intervals for every control dimension. Controls are defined as code, versioned alongside your agent configurations.
Segment by any axis
Slice control health by model, version, prompt variant, tool, environment, or team. Understand exactly where drift is happening.
Drift alerts
Get notified when behavior changes beyond your thresholds. Alert routing to Slack, email, or your incident management tool.
Designed for probabilistic systems
Not checklists. Control signals account for the inherent variance in LLM-based agents and distinguish real drift from normal distribution shifts.