Through APIs, browser sessions, IDE agents, and MCP pipelines — your employees are sending source code, patient data, and CUI to AI models every day. Cortega governs every surface: every request scanned, every action attributed to a human identity, every decision written to a tamper-evident audit log.
APIs, browser sessions, IDE agents, MCP tool calls — all reach AI models directly. No guardrail, no attribution, no audit. PHI in the prompt, secrets in the context, CUI in the output — your existing tools never see any of it.
API keys tell you which team. They don't tell you which engineer, which project, or which prompt caused a $40,000 monthly overage. Without per-user attribution, budget enforcement is guesswork.
New models, new browser tools, new agentic frameworks — every one bypasses governance until you govern it. Cortega covers every surface your employees use to reach AI. One policy surface. Zero bypass.
API calls, browser sessions, and autonomous agents — governed by a single control plane with one identity model, one audit log, and one policy surface.
Every call to every model passes through Cortega before a token reaches the provider. Guardrails scan the request and buffer-release the response. Fail-closed: a scan error blocks the request, not bypasses it.
ChatGPT.com. Claude.ai. Copilot. Governed via a force-installed enterprise plugin that rewrites requests through your gateway before the browser opens a TLS connection. No SSL inspection. No MITM. No certificate distribution.
Claude Code sessions. IDE agents. MCP tool calls that query databases and execute shell commands across dozens of turns. Cortega intercepts tool calls before the client acts and scans tool results before they reach the model. Nobody else governs this.
Every request is classified for complexity before it reaches a provider. Simple → cheapest capable model. Complex → escalate. The Cost Intelligence dashboard shows actual spend vs. what you would have paid at full frontier-model prices — and the delta.
Every request — API, browser, agentic — attributed to a uniquely identified human via OIDC and locked personal keys. User identity is cryptographically bound to the key, not a spoofable header. MFA enforced at your enterprise IdP. Instant revocation propagated across all replicas.
An interactive AI usage map shows every team, user, model, and project and how they connect. Ask it a question in plain English. Get an answer from your own governance log — not a vendor dashboard that sees only what you export to it.
Cortega ships with guardrail rule domains and compliance controls tuned for regulated enterprise from day one — not retrofitted after the fact.
Cortega's healthcare guardrail domain detects patient names, diagnoses, medications, and clinical notes in every request — before the prompt leaves your network. The same scan runs on the model's response. The NER detector adds ML-backed person and address detection on top of the deterministic layer.
CUI markers, contract numbers, and government-domain keywords blocked at the guardrail layer on every request. Hash-chained tamper-evident audit log satisfies AU control requirements. FedRAMP Moderate documentation ready. FIPS 140-2 cryptography throughout. Air-gap deployable as a single binary.
Engineers run Claude Code sessions, IDE agents, and MCP pipelines that loop for hours — using frontier models for tasks a cheaper model handles fine. Cortega enforces per-engineer budgets with hard pre-flight stops, routes simple requests to the lowest-cost capable model automatically, and alerts before a runaway agent exhausts a monthly quota. It also catches API keys, credentials, and proprietary code leaving the org in prompts — before they reach any model.
Know which analyst asked which question about which deal. Enforce per-user AI budgets so a single agent run can't blow a monthly quota. Block M&A terms and insider information patterns from reaching external models. The audit log is board-ready evidence — hash-chain verified and exportable.
Cortega is not a SaaS tool. It deploys inside your authorization boundary — AWS GovCloud, Azure Government, GCP Assured Workloads, or on-premises. Every AI query, every governance decision, every audit record stays inside your boundary. That is why it satisfies FISMA and CMMC.
A SaaS AI proxy takes your employees' queries — potentially containing CUI, PHI, or source code — and routes them through a vendor's infrastructure outside your authorization boundary. That is a CUI disclosure event under CMMC and a FISMA violation for federal systems.
Cortega runs in your cloud. Every query, every guardrail decision, every audit record stays inside your boundary. Your 3PAO and DoD assessor see a proxy you control, not a SaaS dependency you trust.
Cortega runs wherever your organisation runs — AWS GovCloud, Azure Government, GCP Assured Workloads, or on-premises. No cloud lock-in. No dependency on Cortega's infrastructure. Your team owns the deployment, the data, and the controls.
AWS GovCloud · Azure Government · GCP Assured Workloads · On-premises air-gap. Cloud-agnostic Terraform and Helm IaC — no CloudFormation, no ARM templates. Secrets injected via your cloud-native KMS (AWS Secrets Manager, Azure Key Vault, GCP Secret Manager, or HashiCorp Vault). Bring your own certificates or let the installer provision TLS automatically.
| Capability | Cortega | CalypsoAI | CASB / Zscaler | API gateway | Lakera |
|---|---|---|---|---|---|
| Wire-compatible LLM proxy — zero SDK changes | ✓ OpenAI + Anthropic | Partial | ✗ | OpenAI only | ✗ |
| Deterministic guardrail scan — fail-closed | ✓ Healthcare, govt, injection | Partial | ✗ | ✗ | ✓ |
| Response scan — buffer-then-release on streams | ✓ Full | ✗ | ✗ | ✗ | Partial |
| Per-user attribution — not just API key | ✓ User / team / dept / project | Team level | ✗ | ✗ | ✗ |
| Shadow AI detection and classification | ✓ 4 shadow AI types | ✗ | ✗ | ✗ | ✗ |
| Tamper-evident hash-chained audit log | ✓ Full — chain-verifiable | ✗ | ✗ | ✗ | ✗ |
| Org intelligence — NL queries over governance log | ✓ Full | ✗ | ✗ | ✗ | ✗ |
| Agentic / MCP tool call governance | ✓ First to ship | ✗ | ✗ | ✗ | ✗ |
| FedRAMP Moderate / CMMC 2.0 ready | ✓ Full | ✓ Federal focus | Some | ✗ | ✗ |
| On-premises, single-binary deployment | ✓ One binary, no dependencies | Limited | SaaS only | Partial | ✗ |
Point your SDK at Cortega. See your first governed request in under 30 minutes.