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AI OBSERVABILITY

Every model. Every token. Every risk.

AI adoption is accelerating across federal agencies and defense contractors. PolicyCortex gives you visibility into every AI model, token, and dollar — with security monitoring mapped to MITRE ATLAS for AI-specific threat detection.

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PolicyCortex AI Observability — monitoring AI model deployments, token usage, costs, and MITRE ATLAS threat mapping
Live monitoring • Azure OpenAI, AWS Bedrock

3+

AI Platforms Monitored

Token

Level Attribution

ATLAS

Threat Mapping

Real-time

Cost Tracking

EMERGING RISK

AI Adoption Is Outpacing Governance.

You Can't Govern What You Can't See.

Teams are deploying AI models across Azure OpenAI, AWS Bedrock, and custom endpoints faster than security can track. Token costs are climbing. Shadow AI services are processing sensitive data without oversight. And adversarial AI threats are real.

Federal AI governance requirements are tightening. The Executive Order on AI Safety, NIST AI RMF, and agency-specific policies demand visibility and controls that most organizations don't have.

THE VISIBILITY GAP

AI model inventoryUnknown
Token cost attributionAggregated bills
AI security monitoringNot covered
Federal AI complianceManual assessments
PolicyCortexFull visibility
THE SOLUTION

Complete AI Governance in One Platform

PolicyCortex discovers, monitors, and governs AI across your entire cloud environment — from token costs to adversarial threats.

Model Discovery

Automatically discover every AI and ML model deployed across your cloud environment — including shadow AI services your teams spun up without approval.

  • Azure OpenAI detection
  • AWS Bedrock monitoring
  • Custom model tracking
  • Shadow AI discovery

Token-Level Attribution

Track every token consumed, every API call made, and every dollar spent — attributed to teams, projects, and applications.

  • Per-model cost tracking
  • Team-level attribution
  • Usage anomaly detection
  • Budget alerting

MITRE ATLAS Mapping

Map AI-specific threats to the MITRE ATLAS framework. Detect prompt injection attempts, model poisoning, and data exfiltration patterns.

  • Adversarial ML detection
  • Prompt injection monitoring
  • Data exfiltration alerts
  • Risk scoring per model
CAPABILITIES

What you get with AI Observability

  • Automatic discovery of all AI/ML endpoints across AWS, Azure, GCP
  • Token-level cost attribution by team, project, and model
  • MITRE ATLAS threat mapping for adversarial AI detection
  • Shadow AI identification and governance flagging
  • Usage anomaly detection and cost alerting
  • Federal AI governance compliance evidence
  • Latency and performance monitoring per model
  • Integration with existing compliance frameworks
PolicyCortex AI compliance — monitoring AI models with token tracking, cost analysis, and MITRE ATLAS security mapping
FAQ

Common questions about AI Observability

What AI services does PolicyCortex monitor?

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PolicyCortex monitors Azure OpenAI, AWS Bedrock, Google Vertex AI, and custom-deployed models across all major cloud providers. The platform automatically discovers AI endpoints in your environment and begins tracking usage, costs, and security patterns.

What is MITRE ATLAS and why does it matter?

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MITRE ATLAS (Adversarial Threat Landscape for AI Systems) is the AI/ML equivalent of MITRE ATT&CK. It catalogs real-world adversarial techniques against AI systems including model evasion, poisoning, and data extraction. PolicyCortex maps detected anomalies to ATLAS techniques so your security team understands AI-specific threats.

How does token-level cost attribution work?

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PolicyCortex intercepts API call metadata (not the content) to track token consumption per model, per team, and per application. This gives you granular visibility into which teams are driving AI costs, which models are most expensive, and where usage anomalies occur.

Can PolicyCortex detect shadow AI usage?

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Yes. PolicyCortex scans your cloud environments for AI service endpoints, API keys, and model deployments that may not be centrally tracked. Shadow AI — services deployed without governance approval — is flagged for review with deployment details and cost impact.

Does PolicyCortex work with federal AI governance requirements?

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PolicyCortex aligns AI observability with emerging federal AI governance requirements including the Executive Order on AI Safety, NIST AI Risk Management Framework (RMF), and agency-specific AI use policies. All AI monitoring data feeds into the same compliance evidence pipeline as your other governance frameworks.

Govern your AI before it governs you.

See how PolicyCortex brings visibility and control to AI across your cloud environment.

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