What is Runtime Identity?
Runtime Identity is the control layer that governs what an AI system, agent, or autonomous process is allowed to do at the exact moment it takes action. It shifts identity from a one-time access decision to a continuous execution decision.
In human software, identity mostly answered who gets in. In agentic software, the harder question is what happens next. Runtime Identity explains that shift.
Definition stack
Runtime Identity as identity plus context plus policy at execution time.Identity
Every user, agent, connector, service, workflow, and tool needs distinct attributable identity.
Context
Each action is interpreted using live context such as task intent, environment, sensitivity, and risk.
Policy
Governance rules determine what is permitted, constrained, stepped up, or denied at the moment of execution.
Enforcement
Controls are applied before the action reaches APIs, data stores, internal systems, money movement, or enterprise workflows.
Runtime Identity means identity at the moment of action
Traditional IAM is centered on admission. Runtime Identity is centered on execution. It asks whether this exact action should be allowed right now, under current policy, current context, and current risk.
Beyond login
Authentication proves who or what is present. Runtime Identity decides whether the requested action should proceed after that point.
Built for agents
AI agents do not just view information. They retrieve data, call APIs, modify systems, and trigger workflows. That requires continuous control.
Built for changing context
Data sensitivity, environment, business policy, delegated authority, and risk can all change mid-task. Runtime Identity handles that change in real time.
Why traditional identity systems are not enough
Existing identity models were designed for humans logging into applications. They were not designed for autonomous software systems that continuously take actions across multiple services on behalf of users or organizations.
Traditional identity model
Authenticate once, assign permissions, create a session, and assume trust carries forward until that session ends.
Runtime identity model
- Evaluate every action in real time
- Use context to shape permission
- Apply policy at execution
- Maintain accountability and provenance
- Control non-human actors continuously
Why Runtime Identity matters now
The rise of AI agents changed the security problem. Once systems can act across APIs, data, cloud platforms, developer tools, and enterprise workflows, identity has to follow the action instead of stopping at access.
Software used to be request driven
Users initiated actions directly, and permissions were applied primarily at the interface or application boundary.
Agents introduced delegated execution
AI systems began planning tasks, chaining tools, and acting across enterprise environments with partial autonomy.
Execution became the new control point
That created the need for a runtime decision layer that could validate authority, policy, and context before each action happens.