# Secure the way AI agents access business systems

Design scoped AI identities, tool permissions, approval gates, data boundaries, testing and response processes for agentic workflows.

Canonical: https://aroai.com/solutions/ai-security/

## Treat an agent like an application identity

Map every agent to a human owner, intended job, credential, data source and allowed action. Apply least privilege and make revocation, approval and activity review part of the design.

## Review the full workflow

- **Identity and permissions**: Choose how an agent authenticates and exactly which tools it may call.
- **Data and prompt boundaries**: Identify sensitive inputs, untrusted content, retention and provider handling.
- **Action approvals**: Keep consequential writes, payments and external messages behind a person or governed service.
- **Abuse and failure cases**: Test prompt injection, ambiguous identity, tool errors, duplicate actions and safe recovery.

## Deliverables

- System and data-flow map for the selected workflow.
- Scoped role and credential plan with named owners.
- Threat scenarios, test cases and human approval boundaries.
- Runbook for monitoring, revocation and incident response.

## Be precise about assurance

Security work is scoped to the systems and tests agreed with the customer. It does not imply an external penetration test, formal certification, compliance determination or guaranteed security posture.