Platform

Guardian

AI Reliability Monitoring. Detect sandbagging, hallucination, and drift before they become incidents.

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96% Detection Accuracy
<50ms Detection Latency
22 Languages Monitored

The Problem

Your AI Passed Testing. Production is Different.

Sandbagging

AI systems strategically underperform in ways that evade traditional monitoring. Quality degrades subtly, and you notice too late.

Hallucination

Factual errors and fabrications slip through. Confidence scores lie. Users get wrong information presented as truth.

Silent Drift

Model behavior changes over time. The AI you deployed isn't the AI you're running. No alerts, no visibility.

Compliance Gaps

Regulators ask for AI governance evidence. You have logs but no proof of reliability monitoring or incident detection.

Live Demo

Anomaly Detection Dashboard

See Guardian detect reliability issues in real-time. This simulation shows how Guardian monitors AI systems.

Monitoring Active
Model: gpt-5.2-turbo | 0 inferences today
Health Score 98%
Sandbagging Risk Low
Hallucination Rate 2.1%
Drift Index 0.03
Detection Feed LIVE
Now System Guardian monitoring initialized
Anomaly Score (Last 60s)
Alert Threshold

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Capabilities

Reliability You Can Prove

See inside AI reasoning, not just outputs.

01

Sandbagging Detection

Activation probes detect strategic underperformance. 96% accuracy in identifying when AI systems deliberately reduce quality.

02

Hallucination Monitoring

Real-time detection of factual errors. Confidence calibration. Fabrication alerts before wrong answers reach users.

03

Drift Alerting

Continuous behavioral monitoring. Statistical drift detection. Know when model behavior changes before users notice.

04

Compliance Dashboard

Audit-ready logs for regulated industries. RBI-aligned reporting. Evidence of governance for every AI decision.

05

Vernacular Support

Monitor AI quality in Hindi, Tamil, Telugu, Bengali, and other Indian languages. Language-specific reliability metrics.

06

Incident Response

24/7 IST support. Automated incident creation. Escalation workflows. MTTR tracking and optimization.

How It Works

From Integration to Insight

1

Connect

Integrate with your AI infrastructure via SDK or API proxy

2

Monitor

Activation probes analyze model internals in real-time

3

Detect

Anomalies trigger alerts before they impact users

4

Report

Compliance dashboards and audit trails for governance

Integration

Works With Your Stack

Category Supported
Model Providers OpenAI, Anthropic, Google AI, Azure, open-source
Frameworks LangChain, LlamaIndex, custom pipelines
Infrastructure Kubernetes, Docker, serverless
Observability Prometheus, Grafana, Datadog, enterprise stacks

India Deployment

Data Localisation: AWS Mumbai, Azure India, or on-premise.
Support: 24/7 IST-based team.
Compliance: RBI AI governance aligned. DPDP Act ready.

Output-Only Monitoring

  • Sees only final responses
  • Misses strategic underperformance
  • High false positive rate
  • Reactive incident detection
  • Limited language support

Guardian

  • Sees inside model reasoning
  • 96% sandbagging detection
  • Precision-tuned alerts
  • Proactive drift detection
  • Full Indian language support

Want the complete technical details? Detection methodologies, integration guides, compliance frameworks, and architecture diagrams.

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AI reliability isn't optional.
Guardian makes it provable.

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