A multi-agent system where specialized AI agents work as a coordinated team to govern your AI fleet.
Each agent is paired with the right model tier for its task -- optimizing for speed where milliseconds matter and depth where nuance is critical.
Lightweight models built for tasks that execute on every request and must never add perceptible delay.
The backbone of the agent fleet. These models handle the core governance workload where accuracy and reasoning matter.
The most capable models, reserved for high-stakes reasoning where depth of analysis justifies the compute cost.
Built from the ground up for regulated industries. Every organization's data is fully isolated with defense-in-depth security controls.
Each organization operates in a completely isolated environment. Row-level security ensures that users can only access data belonging to their own organization -- no cross-tenant data leakage, ever.
Support for Single Sign-On via SAML and OIDC, multi-factor authentication with time-based one-time passwords, and configurable session security. Works with your identity provider out of the box.
Every action is recorded in append-only, organization-scoped audit logs. From policy changes to user access events, maintain a complete evidence trail for regulators and internal reviews.
Four distinct roles -- Owner, Admin, Analyst, and Viewer -- give you fine-grained control over who can see, edit, and manage governance workflows. Assign roles at invite time and change them as needed.
Rate limiting prevents abuse. Security headers protect against common web attacks. Input validation sanitizes all data before processing. Structured error handling ensures no sensitive information is ever exposed.
All data is encrypted in transit and at rest. API key management lets you create, rotate, and revoke keys for programmatic access. Your regulatory data stays within your organizational boundary.
A dedicated Integration Agent handles all external connections -- translating governance decisions into actions across your existing toolchain.
External AI agents invoke Kora's governance capabilities via the Model Context Protocol. Query compliance status, check policies, and report events programmatically.
Real-time event delivery for governance triggers -- policy violations, assessment completions, guardian agent alerts -- pushed directly to your internal systems.
The Kora Integration Agent checks deployments against governance policies before code ships. Block releases that fail compliance thresholds automatically.
Slack alerts, Jira tickets, and Linear issues -- all routed through the Kora Integration Agent. Governance events flow into the tools your team already uses.
Kora operates on a progressive autonomy spectrum. Every organization starts at the Recommend tier -- trust is earned, not assumed.
Kora monitors your AI fleet and surfaces insights. No actions taken -- pure visibility into risk, compliance, and agent behavior.
Kora proposes actions and surfaces recommendations. Humans review and approve before anything executes.
Default tierKora executes within pre-approved boundaries. Enforcement actions, policy updates, and remediation happen automatically within defined guardrails.
Humans can always override any Kora decision. Every override is logged, creating an audit trail that informs future recommendations.