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Cortega
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About Cortega
Cortega provides an enterprise AI governance platform designed to enforce governance policies at the point of execution rather than after incidents occur. It intercepts LLM prompts and agent actions within an organization’s infrastructure, enabling real-time data redaction, blocking of unapproved MCP tool calls, and enforcement of hard budget caps before any request leaves the network perimeter. The platform operates entirely within the user’s infrastructure with sub-5ms latency at 52,000 requests per second, using a deterministic rule engine to ensure consistent policy enforcement. It supports continuous audit evidence collection and provides live visibility into AI traffic paths across employee devices, browsers, servers, and cloud agents. Cortega integrates with existing identity providers such as Okta and Microsoft Entra ID to map requests to user identities without requiring application code changes. The system is designed for environments where cloud-proxy security is not feasible, offering 100% on-premises and air-gapped deployment options.
Key features
- Real-time interception of LLM prompts and agent actions
- Deterministic rule engine for consistent policy enforcement
- PII and PHI redaction before external API calls
- Shadow AI discovery and attribution via Edge agent deployment
- Agent and MCP tool fingerprinting and drift detection
- Hard budget caps and multi-model routing for FinOps control
- Unified control plane for centralized policy management
- OTLP-native observability with NIST 800-53-tagged audit events
Use cases
- Preventing sensitive data leaks in AI interactions for regulated industries
- Enforcing governance policies for autonomous agents and MCP tools
- Managing AI spend and routing across multiple models and providers
Pros
- Intercepts and governs AI traffic in real time before data leaves the network
- Supports 100% on-premises and air-gapped deployment
- Provides continuous audit evidence and tamper-evident telemetry
- Integrates with existing identity providers without code changes
- Enforces hard budget caps and multi-model routing at the gateway level
Cons
- Requires deployment within the user's infrastructure (no cloud-only option)
- Limited to governance of AI traffic within the defined perimeter
- No explicit mention of support for non-English languages or localized models
Frequently asked questions about Cortega
What does Cortega do?
Cortega is an enterprise AI governance platform that intercepts LLM prompts and agent actions within an organization’s infrastructure to enforce governance policies in real time. It redacts sensitive data, blocks unapproved MCP tool calls, and enforces hard budget caps before any request leaves the network perimeter.
Who is Cortega designed for?
Cortega is designed for enterprises handling sensitive data such as patient, financial, or legal records, as well as organizations concerned with shadow AI, agent security, and FinOps. It suits environments where cloud-proxy security is not feasible, including on-premises and air-gapped deployments.
How does Cortega integrate with existing systems?
Cortega integrates with identity providers like Okta and Microsoft Entra ID to map requests to user identities without requiring application code changes. It also supports integrations with AI providers such as OpenAI, Anthropic, and Bedrock, as well as tools like LangChain, LangGraph, and Kubernetes.
Can Cortega operate in air-gapped environments?
Yes, Cortega is designed to operate entirely within the user’s infrastructure, including 100% on-premises and air-gapped deployment options. It does not require sending raw payload data to third-party servers.
What kind of policies can Cortega enforce?
Cortega enforces policies such as data redaction, blocking unapproved MCP tool calls, enforcing hard budget caps, and preventing prompt injections. It uses a deterministic rule engine to ensure consistent policy enforcement across all requests.
How does Cortega handle audit and compliance?
Cortega provides continuous audit evidence collection and live visibility into AI traffic paths across employee devices, browsers, servers, and cloud agents. It converts raw gateway telemetry into tamper-evident audit evidence and organization-wide usage intelligence for compliance teams.
