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Cortega AI Governance Platform

AI infrastructure creates a specific, recurring set of problems: routing and outages, shadow AI, data exfiltration, unrestricted tool access, credential sprawl, cost blowouts, hallucinated answers, and more. See The AI governance problem for the full list and what addresses each one.

AI Border Gateway governs traffic routed through it: identity, routing, cost, and guardrails. Endpoint Guard sees AI usage on devices that never touch a gateway. Cortega Agents read the traffic recorded by either product and check it for specific problems. AI Verifier, the citation and hallucination checker, is the most mature example.

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Why did we create the Cortega AI Governance Platform?​

We built Cortega because the threat model for AI traffic is not the one most infrastructure was designed for. Traditional gateways and firewalls stop SQL injection and cross-site scripting. An IT admin or CISO cannot block an entire AI application: the productivity tradeoff is too big.

Consider a prompt injected via a PDF, an agent persuaded by a caller, a model talked into calling a tool it has no business calling, one agent impersonating another, a model quietly leaking data through its own responses, or a reasoning loop that burns through fifty calls to an expensive model in a single turn. Modern code is agentic: it provides instructions, tools, and information, while the reasoning is left to an LLM. That produces workflows traditional security systems cannot keep up with, and an entirely new governance framework is needed. That's why we created Cortega.

Cortega combines static and agentic techniques for governance and security. The platform unifies the surfaces where AI actually operates (LLM APIs, MCP, HTTP, SOCKS) into one agentic management layer that keeps pace with the evolving needs of enterprise AI.

Platform architecture​

Agentic & back-office AI agents, appsDesktop & personal devicesCORTEGA PLATFORMAI BORDER GATEWAYRouting, cost, automatic failoverGuardrails, identity, MCP tool governanceOne observability view, every callENDPOINT GUARDLocal interception, on the deviceLocal guardrails: observe, mask, or rejectSees traffic your gateway never doesGOVERNED, LOGGED, AND REPORTED: EVERY CALL, EVERY DEVICECORTEGA AGENTSRead traffic from either box above, or bothAI Verifier: hallucination and citation checkingWorkload Analyzer, Scorer, Aegis, and others

AI Border Gateway and Endpoint Guard each capture traffic on their own. Cortega Agents, including AI Verifier, read from either capture point, or both, once you turn that traffic source on. See Cortega Agents for the full catalog.

AI Border Gateway​

Every LLM and MCP call that goes through it gets routed, cost-controlled, and checked against your guardrails. AI Border Gateway.

Endpoint Guard​

Intercepts AI traffic locally, on the device, for AI usage your gateway never sees: desktop apps, browsers, local MCP tools. Runs local guardrails. Never changes where a call goes and never holds a provider key. Endpoint Guard.

Cortega Agents​

Read traffic recorded by AI Border Gateway, Endpoint Guard, or both, and check it for specific problems. AI Verifier checks for hallucinated legal citations and ships with its own desktop app and native notifications. Workload Analyzer classifies traffic and, paired with Model Intelligence, recommends which model to use. Cortega Agents.

Platform​

AI Border Gateway, Endpoint Guard, and Cortega Agents all live inside the platform, on one shared foundation: SSO, RBAC, audit logging, central observability, a high-performance data warehouse, AI Bench, and the Cortega API. See Platform.

Tools​

Two tools stand outside the platform entirely, free to use on their own: Model Intelligence, a model recommendation catalog, and Cortega Assist, a service for agents asking questions about Cortega.

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