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AI OBSERVABILITY

Every model. Every token. Every risk.

See every AI model deployed across your environment. Track token consumption, cost per model, latency, and anomalous access patterns. Mapped to MITRE ATLAS for AI-specific threat detection.

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PolicyCortex AI Observability showing federal AI compliance and model inventory
100%

Model inventory coverage

ATLAS

Threat framework mapping

Real-time

Token usage tracking

Per-model

Cost attribution

CAPABILITIES

What you get

Model Inventory

Automatically discover and catalog every AI/ML model deployed across your cloud environment. Know what's running and where.

Token & Cost Tracking

Track token consumption, inference costs, and latency per model. Understand the true cost of your AI deployments.

Anomaly Detection

Detect unusual access patterns, prompt injection attempts, and data exfiltration risks across your AI infrastructure.

MITRE ATLAS Mapping

Every AI-specific threat maps to the MITRE ATLAS framework. Understand adversarial tactics targeting your ML systems.

Performance Monitoring

Track latency, throughput, and error rates across all models. Ensure SLA compliance for production AI workloads.

Usage Reporting

Generate reports on AI adoption, cost trends, and risk posture across your organization's model portfolio.

HOW IT WORKS

Three steps to value

01

Discover models

PolicyCortex scans your cloud environment and automatically inventories every AI/ML model, endpoint, and inference service.

02

Monitor continuously

Track token usage, costs, performance, and access patterns in real time. Get alerted on anomalies instantly.

03

Govern and report

Enforce AI usage policies, map risks to ATLAS, and generate compliance reports for your AI infrastructure.

INTEGRATIONS

Works with your stack

Azure OpenAIAWS BedrockGCP Vertex AIOpenAI APIHugging FaceMLflow
FAQ

Common questions

What is MITRE ATLAS?

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MITRE ATLAS (Adversarial Threat Landscape for AI Systems) is a knowledge base of adversary tactics and techniques targeting AI/ML systems. PolicyCortex maps AI-specific threats to ATLAS, giving security teams a structured framework for understanding risks to their AI deployments.

Which AI platforms does PolicyCortex monitor?

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PolicyCortex monitors Azure OpenAI, AWS Bedrock, GCP Vertex AI, OpenAI API endpoints, Hugging Face deployments, and MLflow-tracked models. It discovers AI models across your cloud environment automatically.

Can PolicyCortex detect prompt injection attacks?

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Yes. PolicyCortex monitors access patterns and usage anomalies across your AI infrastructure. It can detect unusual prompt patterns, data exfiltration attempts, and other adversarial behaviors mapped to the MITRE ATLAS framework.

How does AI cost tracking work?

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PolicyCortex tracks token consumption, inference costs, and latency per model in real time. You can attribute AI costs to specific teams, projects, or applications and set budget alerts when spending exceeds thresholds.

Ready to see it in action?

Get a personalized walkthrough of how PolicyCortex works for your environment.

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