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Agent permissions

How Cyberdroid AI Investigation agents get their permissions.

What an investigation agent reads

An investigation may need more evidence, but that need does not grant access. Policy defines the permitted sources and recipients; software enforces those limits separately from model reasoning.

Three layers: human authority defines the work, software enforces agent permissions, and the model reasons over permitted evidence.

How access is configured

  1. Who can ask

    The policy sets who can ask, and about what.

  2. Query building

    Software turns the model’s questions into bounded, read-only queries on permitted sources.

  3. One key per agent

    Separate credentials make each agent’s access attributable and independently revocable.

  4. Recipient checks

    Recipients are checked before a reply is written and again after.

  5. Reply approval

    A separate authorization check governs release of a result, so the content of an answer cannot authorize its own delivery.

  6. Model keys

    Model-service access and routing are controlled separately from the agent’s data permissions.

Limits

Status

Cyberdroid AI Investigation is in early access.

Policy

Permissions depend on the configured policy. Review changes against the intended work and test the resulting access.

Records

Every grant and refusal is on record.

Outcomes

The record identifies what was requested, the outcome and the reason, including a refusal or a need for approval.

Keys

Each key can be rotated or revoked separately.

Standards

Naming a clause is not a claim of certification.

OWASP

OWASP lists Excessive Agency (LLM06:2025) and, for AI agents, identity and privilege abuse (2026). Policy-based access, generated queries and per-agent keys address both.

EU

Article 15 of the EU AI Act asks that high-risk systems resist unauthorized attempts to alter their use.

ARRTECH

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