Cortega covers every dimension of AI risk: sensitive data leaving through a channel nobody's watching, attacks that target your agents, AI your employees are using without authorization, a fabricated or ungrounded answer nobody caught, and the operational resilience your infrastructure requires. It also turns governed traffic into intelligence your leadership can act on.
Every prompt, response, and tool call is a chance for sensitive data to leave through a channel nobody's watching. Cortega inspects AI traffic before it leaves the approved path, using deterministic detection instead of a probabilistic guess.
Local, rule-based detection for PII, payment data (PCI), and industry-specific patterns, not a model's best-effort estimate of what looks sensitive.
A request that trips a sensitive-data rule can be blocked outright, redacted in place, or routed to an approved destination instead of failing.
Detection runs on infrastructure you control. Sensitive data is never sent to a system Cortega operates just to be checked.
Decide which AI providers and models are approved. Sensitive data can be detected and redacted before it ever reaches an external API.
Every detection and policy decision is recorded in a hash-chain-verified log as it happens, not reconstructed after the fact for an auditor.
AI agents have a new attack surface: they accept instructions from untrusted content, call external tools that can change their behavior, and communicate with other agents whose identity can be forged. Cortega defends all three vectors at the gateway, before any damage reaches your systems.
Every inbound request, whether from a user, application, or another agent, is verified before it reaches your agents. JWT, mTLS, OAuth 2.0.
Monitor for intent drift. When an agent's behavior has been hijacked by malicious content in its context, the call is intercepted before it executes.
Fingerprint every tool at registration and flag any definition change or drift for review before you trust it again.
Check inter-agent calls against per-identity access policy before they proceed. Enforce delegation chain limits.
Detect call frequency spikes, token velocity anomalies, and loop signatures. Circuit-break before costs become significant.
Bidirectional bridging of 2025↔2026 MCP protocol versions. Zero code changes to agents or tool servers. The only shipping implementation.
Governance is enforcement, not observation. Cortega sits between your agents and everything they call, and enforces the boundary between what an agent is authorized to do and what it actually attempts.
Access control check plus intelligent argument check. Both must pass before execution.
Plain-English summary of what the agent is about to do. Record a documented approval decision, visible in your audit trail.
Agents receive only the permissions their current task requires, for the duration of that task. Limits blast radius of any compromised agent.
Decide which AI providers are approved and which models agents can use. Sensitive data can be detected and redacted before it reaches an external provider.
Agents that drift, making calls outside scope, exceeding limits, or showing anomalous patterns, are flagged, throttled, or quarantined.
Every week, employees paste sensitive data into personal ChatGPT accounts, install unapproved AI coding tools, and connect AI assistants directly to corporate systems. All of it is invisible to IT, ungoverned, and outside your compliance boundary.
Continuous scanning of network traffic and endpoint activity surfaces approved and unapproved tools alike, before your auditor finds them first.
Define your approved provider list. Traffic to unauthorized providers is blocked at the gateway, including personal accounts on approved platforms.
Cortega EdgeSafe routes AI requests from endpoint tools like Cursor, Copilot, and Claude Desktop through your on-premises gateway without per-app reconfiguration.
When an employee sends sensitive data through an unapproved tool, Cortega can detect and block it before egress.
Every request tied to an authenticated identity through your existing IdP. Entra ID and Okta supported. No anonymous AI usage.
Cortega sits in the critical path of every AI call. When a provider goes down, degrades, or returns errors, Cortega handles it by silently rerouting traffic without your agents ever seeing a failure. True cross-cloud failover, not just across deployments.
Route across AWS, Azure, GCP, and approved private or hosted environments. Your agents see no error and require no retry logic.
Provider-side rate limits, temporary outages, connection timeouts absorbed and retried against configured fallbacks automatically.
Real-time status, p50/p95 latency, and error rate per provider. Fallback chain activates automatically when thresholds are breached.
Enforced at API key, user, team, and organization level, preventing any single agent or user from triggering provider-side throttling.
Cortega enforces monthly budgets at the team and provider level. When a limit is hit, the gateway blocks the request before it reaches the model, instead of waiting for a report to flag the overspend afterward. Route traffic across providers with weighted, failover, or conditional strategies to balance cost and reliability.
Team and provider budgets are enforced at the gateway itself. A request that would exceed the monthly limit is blocked before it reaches the model.
Split traffic across providers by weight, fail over automatically when one goes down, or route based on rules you define.
See where cost is concentrated across teams, models, providers, and gateways, so budget decisions have data behind them.
Cost-based, latency-based, and usage-based routing are in development. Today, route by weight, failover, or conditional rule.
A confident, well-written answer isn't the same as a correct one. Cortega Verifier checks what a model actually says against the documents and data you register as ground truth, not just whether the person asking was allowed to ask.
Point Verifier at the documents and data sources that represent ground truth for your business. Sources stay current automatically as the underlying documents change.
Works as part of the AI tools you already use. No separate portal, no uploading a document just to get an answer checked.
An answer can be technically correct and still not address what was actually asked. Verifier is built to catch that case too, not just outright fabrication.
An answer can come from someone who was fully authorized to ask, and still be wrong. Access control alone doesn't catch that.
Verification status is kept per statement, so a compliance or quality review doesn't start from a blank page.
18 questions across these same 6 areas. Free, instant results, no call required.
Take the readiness checklist →Cortega maps your AI agents and employee AI usage against your compliance requirements, surfacing gaps so your team knows exactly where to apply controls first.
Talk with our engineers about deployment →