How does your AI governance program compare?

    See where your program has gaps in less than 2 minutes.

    Book Demo

    Check your EU AI Act status

    Get a free risk tier assessment and personalized gap checklist in 5 minutes.

    Take the Assessment
    Definition / Explainer

    Agent Capability Sealing

    Agent capability sealing is a runtime enforcement mechanism that locks an AI agent's permitted tool calls and action scope after a defined task boundary is set, preventing further expansion of permissions during execution rather than relying solely on permissions defined at provisioning time.

    Explore Runtime Governance Talk to an Expert

    Where Sealing Fits in the Runtime Stack

    1. 1

      Identity Layer

      Establishes who or what the agent is, independent of what it is currently permitted to do.

    2. 2

      Policy Layer

      Defines the rules governing which actions are allowed under given conditions, typically evaluated before or during execution.

    3. 3

      Enforcement Layer

      The point at which a tool or function call is actually dispatched; this is where a seal must take effect to have any practical security value.

    4. 4

      Policy Decision vs Enforcement Point

      Sealing generally requires separating the decision to lock a scope from the mechanism that enforces it at each call, consistent with standard runtime authorization design.

    What Capability Sealing Actually Means

    Agent capability sealing refers to the practice of fixing an AI agent's permitted actions and tool access after an initialization or planning phase, rather than allowing that scope to remain adjustable for the duration of a session. Where traditional permissioning defines what an agent is allowed to do in advance, sealing addresses a different question: once a task's boundaries are established, is anything preventing the agent's effective permission set from expanding during execution. In practice, sealing introduces a hard checkpoint. Before the checkpoint, an agent's capabilities may be shaped by planning logic, user input, or upstream policy. After the checkpoint, the capability set is treated as fixed, and any tool call falling outside that set is rejected or flagged rather than evaluated case by case against a broader policy. This does not replace identity or access control systems. It sits alongside them as an additional constraint applied specifically at the point where an agent's runtime behavior is dispatched.

    Why Static Permissioning Is Not Sufficient

    Role-based and attribute-based access control models define what an entity is allowed to do based on identity, role, or context. These models are effective for provisioning but were not designed around the operational pattern of an autonomous agent executing a multi-step task with tool access that may be invoked dynamically and repeatedly during a single session. An agent granted broad permissions at initialization retains that scope for the life of the session unless something actively narrows it. This creates a gap: the permission model may be correct in principle, but nothing enforces that the agent's actual behavior stays within the boundary relevant to its specific task once execution begins. Capability sealing is positioned to close that gap by treating the task boundary, not just the identity or role, as the unit that gets enforced at runtime. This is consistent with least-privilege principles, applied not only at the moment permissions are granted but continuously as the agent operates.

    Implementation Considerations

    Deploying capability sealing raises several practical decisions that determine whether the mechanism functions as intended.

    • Trigger Definition: The system must define precisely when a task boundary is reached and permissions transition from mutable to locked.
    • Scope Accuracy: Sealing too narrowly can block legitimate task completion; sealing too broadly reduces the security benefit.
    • Integration with Existing I