Real governance, not just observability

AI governance for the whole enterprise.

The only Edge AI solution managed from a central location. Authenticates, blocks, redacts, and reroutes every AI request. Runs on your infrastructure so your data never touches ours. Governs agents, employees, MCP tools — one platform. Works with third-party AI gateways. Built on enterprise-grade Rust.

Request a conversation See how it works
On-premises by design Enforce before the call Deterministic detection Evidence per control
Live AI traffic path Governed
AI use
Employee devices
Browsers
Servers
Cloud agents
Cortega
VerifyAuthenticate every caller
InspectDetect sensitive data, attacks
EnforceApply policy before egress
RecordEvidence mapped to controls
Destinations
Anthropic
OpenAI
Bedrock
MCP tools
09:41:22opencode requested claude-opus-4-5Allowed
09:42:03chatbot-prod sent PII to external modelRedacted
09:42:18unknown-tool attempted direct provider accessRedirected
Integrates with the stack you already run
OpenAIOpenAI AnthropicAnthropic Meta AIMeta AI GeminiGemini BedrockBedrock Azure OpenAIAzure OpenAI Google CloudGoogle Cloud DeepSeekDeepSeek QwenQwen OllamaOllama LangChainLangChain LangGraphLangGraph CrewAICrewAI PydanticPydantic OktaOkta Entra IDEntra ID OpenTelemetryOpenTelemetry LangfuseLangfuse AWSAWS KubernetesKubernetes DockerDocker CapRoverCapRover PostgreSQLPostgreSQL RedisRedis GoGo RustRust OpenAIOpenAI AnthropicAnthropic Meta AIMeta AI GeminiGemini BedrockBedrock Azure OpenAIAzure OpenAI Google CloudGoogle Cloud DeepSeekDeepSeek QwenQwen OllamaOllama LangChainLangChain LangGraphLangGraph CrewAICrewAI PydanticPydantic OktaOkta Entra IDEntra ID OpenTelemetryOpenTelemetry LangfuseLangfuse AWSAWS KubernetesKubernetes DockerDocker CapRoverCapRover PostgreSQLPostgreSQL RedisRedis GoGo RustRust
What makes Cortega different

Observability tells you what happened. Governance stops it before it does.

On-premises. Always.

The only deployment model we offer. FedRAMP and CMMC boundaries satisfied by architecture — not by paperwork.

Enforce, don't just observe

Zero-trust for every transaction. Block, redact, reroute before the request completes. Not an alert after the fact.

Deterministic. Fail-closed.

Local engine catches PII, PHI, CUI with domain-specific rule packs. No third-party scanner. No probabilistic guessing.

Governance + intelligence

RBAC, SSO, budgets, audit — standard. Plus an analytics plane that shows the gap between AI strategy and execution.

How we compare

One platform. Not three point products and a dashboard.

Capability Cortega SaaS AI securityStraiker, Witness, Trust3 Dev / OSS gatewaysLiteLLM, Portkey, TrueFoundry API-mgmt incumbentsKong, Gravitee
Runs inside your boundary — data never leaves✓✗✓✓
Enforces before the call, not observes after✓~~~
Deterministic PII / PHI / CUI detection, no 3rd-party scanner✓✗✗✗
Governance in the base product (RBAC, SSO, budgets, audit)✓~✗~
Pre-execution human approval with cryptographic attribution✓✗✗✗
Native MCP tool governance with spec version bridging✓~~✗
Govern many gateways from one control plane✓✗✗✓
Per-control compliance evidence (not raw logs)✓~✗~
Intelligence layer on standards-oriented OTEL data✓~✗~

✓ built in · ~ partial or add-on · ✗ not offered. Based on each vendor's current public positioning.

A platform that scales

Many gateways. One control plane. One analytics plane.

Data plane

Gateways at the Edge and Core enforce policy where traffic flows — LLM calls, MCP tools, every request.

Control plane

One source of truth for posture, policy, identity, and budgets across every gateway — ours and yours. No config drift.

Analytics & intelligence plane

Governed traffic becomes an org-wide picture. Built on OTEL — not a proprietary format. Works with any gateway.

How it works

A distributed farm of AI security endpoints.

Cortega has a management backend for posture, policy, configuration, insight, and evidence. Gateways handle traffic where it already flows: endpoint, edge, network, server, or cloud. The intelligence layer sits above it all, consuming standards-oriented telemetry — including from gateways you already run.

Edge

Govern traffic close to users and devices. Browser, desktop, CLI, phone, and endpoint AI activity can be handled near the source.

Core

Govern production systems and internal services. Gateways scale horizontally and can be upgraded independently.

Use cases

Start with the operating problem.

Regulated data is the sharpest wedge — but the same controls cover visibility, shadow AI, budgets, and MCP governance.

Data control
"We handle patient, financial, or government data and can't let it reach external AI providers."

Detect, redact, block, or route sensitive data before provider calls happen — deterministically, in your boundary, with no third-party scanner.

GuardrailsCompliance
 Shadow AI
"Employees are creating their own agents and IT doesn't know about them."

Discover, attribute, and govern every AI tool in use across your fleet — without per-app reconfiguration.

Shadow AI PolicyIdP Attribution
 Visibility
"We have agents running everywhere and we don't know what they're all doing."

Create a governed inventory from gateway telemetry — from your gateways and ours — and ask questions in plain English.

InsightsObservability
In deployment today

Observe the request. Control the outcome.

Gateway events become OTEL-standard observability records. The management backend keeps policy, posture, evidence, and replay context in one place.

In deployment with a design partner in home health — governing production AI traffic against real PHI-boundary requirements.

Observability that supports enforcement.

Every governed request carries identity, model, department, user, policy result, timing, and replay context — in OTEL format. This is where audit and operations meet.

  • Requested model and model actually used.
  • Department, user, policy tag, and timestamp.
  • Events produced by gateways, not after-the-fact surveys.
Cortega observability log
ObservabilityGoverned AI requests with identity, models, department, user, and time.

See what AI is running in your environment.

Point Cortega at your AI traffic and map every call — agents, employees, MCP tools — on your infrastructure. Tell us where AI runs today and we'll map the traffic path and controls.

Received — we'll be in touch within one business day.