AI Agent Security: What to Look for Before You Deploy

Security

February 18, 2026 · 4 min read

AI agents often need access to sensitive data and systems. Here is a security checklist to evaluate before giving an agent the keys to your kingdom.

AI agents are powerful precisely because they can act — but that power comes with risk. Before deploying any agent in a production environment, run through this security checklist.

Data Access and Privacy

What data does the agent access? Map every data source the agent touches.
Where is data processed? On-device, in your cloud, or the vendor servers?
Is data used for training? Many providers use customer interactions to improve their models. Opt out if needed.
Data retention — How long does the vendor keep your data?

Authentication and Authorization

Least privilege — Does the agent request only the permissions it needs?
Credential management — How are API keys and tokens stored and rotated?
Audit logging — Can you track every action the agent takes?

Output Validation

Agents can hallucinate, and in a production context, that means:

Executing incorrect database queries
Sending wrong information to customers
Making unauthorized API calls

Build human-in-the-loop checkpoints for high-stakes actions.

Vendor Evaluation

Is the vendor SOC 2 compliant?
Do they have a responsible disclosure program?
What is their incident response track record?

The AgentVet Approach

On AgentVet.ai, reviewers can flag security concerns in their reviews, and our verification process includes a basic security assessment. Look for the verified badge when browsing agents.

Security is not a feature — it is a foundation. Choose agents that treat it that way.