How to keep AI agents within their permissions
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AI agents operate using valid credentials, which means they can often perform actions that go beyond their assigned permissions. This creates a security gap that traditional access controls are not always designed to catch, since the agent is not breaking authentication, it is simply using legitimate access in unintended ways. Token Security outlines how organizations can close this gap by enforcing policies built specifically for agents, rather than relying solely on controls meant for human users.
The core challenge is balancing oversight with autonomy. Locking agents down too tightly removes the value they provide, while leaving them unchecked allows credential abuse to go unnoticed. The recommended approach is to define agent-specific policies that constrain what each agent can do, even when it holds valid credentials, so that permissions are scoped to intention rather than just identity.
Key points to consider:
- Agents authenticate legitimately, so detection must focus on behavior and scope, not just login validity
- Agent-specific policies help enforce boundaries without stripping away the autonomy that makes agents useful
- Traditional access controls may not flag actions that fall within a credential's rights but outside an agent's intended role
- Continuous monitoring of agent activity is needed to catch deviations from assigned permissions
Source: BleepingComputer
How is your organization handling permission scoping for AI agents, and have you run into gaps with your existing access controls?
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