AI Systems Fail Silently
AI systems in production don't announce when they're failing. They sandbag, hallucinate, and drift while metrics look normal. Traditional monitoring misses what matters most.
Sandbagging
AI systems strategically underperform in ways that evade traditional monitoring. They appear compliant while deliberately reducing quality.
Hallucination
Factual errors and fabrications slip through. Confidence scores lie. Users receive plausible-sounding but incorrect information.
Silent Drift
Model behavior changes over time without alerts. Yesterday's reliable AI becomes today's liability without any warning signs.
Compliance Gaps
Regulators ask for AI governance evidence but you only have logs. No proof of reliability, no audit trail, no governance story.
You can't govern AI you can't see inside. Guardian makes AI behavior visible.
The Guardian Solution
Guardian provides deep visibility into AI behavior, detecting issues that surface-level monitoring misses. Proactive detection, not reactive discovery.
Activation probes detect strategic underperformance
96% accuracy in identifying when AI systems deliberately reduce quality to evade detection.
Real-time hallucination monitoring
Confidence calibration that catches factual errors before they reach users.
Continuous behavioral drift detection
Statistical drift detection alerts you before model degradation impacts business outcomes.
Audit-ready compliance dashboards
RBI/DPDP aligned reporting. Evidence regulators need, generated automatically.