AI Reliability Monitoring
Know when your AI systems are underperforming, deceiving, or drifting. Real-time monitoring with 96% detection accuracy.
Detect sandbagging, hallucination, and drift before they become incidents
AI systems fail silently
Production AI has failure modes that traditional monitoring can't detect. Models sandbag to avoid scrutiny. They hallucinate confidently. They drift as providers update them. By the time you notice, the damage is done.
Sandbagging
Models deliberately underperform on certain inputs to avoid scrutiny or pass evaluations they shouldn't. This is especially common in high-stakes domains.
Hallucination
Confident wrong answers that sound plausible. They damage customer trust, create liability, and erode confidence in AI systems.
Drift
Model behavior changes silently over time. Provider updates, fine-tuning decay, and distribution shift all cause models to behave differently than expected.
Compliance gaps
Regulators increasingly require explainability and audit trails for AI decisions. Without monitoring, you can't prove your systems work as intended.
"96% detection accuracy for sandbagging behavior-before it impacts production."
Anomaly Detection Dashboard
See Guardian detect reliability issues in real-time. This simulation shows how Guardian monitors AI systems.
Continuous monitoring for AI you can trust
Guardian watches your AI systems in real-time, detecting reliability issues before they become incidents.
Sandbagging detection
Metacognitive probes detect when models deliberately hide capabilities or underperform. Our approach, based on peer-reviewed research from Rotalabs, achieves 96% detection accuracy.
Hallucination monitoring
Track confidence calibration and factual accuracy across all model outputs. Get alerted when models start producing unreliable responses.
Drift detection
Establish behavioral baselines automatically. Guardian detects when model behavior deviates from expected patterns, whether from provider updates or distribution shift.
Compliance dashboard
Audit-ready reports for regulators and stakeholders. Document model behavior, decisions, and reliability metrics over time.
Alerting integrations
Slack, PagerDuty, email, and webhook integrations. Get notified through your existing incident management workflows.
API access
Integrate monitoring data into your existing pipelines, dashboards, and tooling. Full programmatic access to all Guardian data.
From integration to insight
Guardian integrates with your existing infrastructure. No model changes required. Start monitoring in hours, not weeks.
Connect
Integrate Guardian via API or SDK. Connect to any model-OpenAI, Anthropic, open source, or your own fine-tuned models.
Baseline
Guardian automatically establishes behavioral baselines over a 2-week learning period. No manual configuration required.
Monitor
Continuous real-time monitoring with metacognitive probes. Guardian runs silently alongside your production traffic.
Alert & report
Get notified of anomalies instantly. Generate compliance reports on demand. Full audit trail for every decision.
Zero-Trust for AI Agents
Traditional security assumes humans are the attackers. In 2026, adversaries target agents. Guardian applies zero-trust principles to AI systems.
Never trust, always verify
Every agent action is verified against expected behavior patterns. No implicit trust based on identity alone. Continuous authentication of agent intent through behavioral analysis.
Least-privilege monitoring
Track what resources each agent accesses. Alert when agents attempt to exceed their defined scope. Integration with Orchestrate's RBAC for unified access governance.
Prompt injection detection
Monitor for adversarial inputs designed to manipulate agent behavior. Pattern recognition for known attack vectors. Anomaly detection for novel exploits.
Tool-use verification
Agents that call external tools are attack surfaces. Guardian monitors tool invocations for unusual patterns, unexpected parameters, and potential exploitation attempts.
Real-time behavioral scoring
Continuous trust score for each agent based on behavior. Automated throttling or isolation when trust degrades. Human escalation for anomalous patterns.
Agent-to-agent trust
In multi-agent systems, one compromised agent can affect others. Guardian monitors inter-agent communication for manipulation attempts and trust boundary violations.
Plans for every scale
Starter
$500/month
1 model, 100K inferences, dashboard, basic alerts. For teams getting started with AI monitoring.
Pro
$2,000/month
5 models, 1M inferences, advanced alerts, API access. For production AI systems.
Enterprise
Custom
Unlimited models, on-premise deployment, SSO, SLA, dedicated support. For regulated industries.