Vendor Evaluation Criteria for AI Safety Tools

Choosing an AI safety tool is a high-stakes decision. The tool you select becomes a critical path dependency for every agent in your fleet. Switching costs are significant because policies, integrations, and operational procedures are built around the tool's specific capabilities. Evaluate thoroughly before committing.

Technical Criteria

Integration breadth. Does the tool support your agent frameworks (LangChain, CrewAI, OpenAI Agents SDK, custom)? Does it support MCP? The more integration points available, the less custom work you need to do.

Policy expressiveness. Can the policy language express your requirements? Test with your actual use cases, not just the vendor's examples. Try to express tool-level restrictions, parameter constraints, conditional approvals, and time-based rules.

Latency impact. Measure the latency added by the safety layer under realistic load. Request benchmark data and verify it independently. Safety checks that add 500ms to every action will degrade agent performance.

Content scanning capabilities. What types of content does the scanner detect? PII patterns, prompt injection, toxic content, custom rules? Can you add your own detection rules?

Audit trail integrity. Are audit records cryptographically protected? Can you verify that records have not been tampered with? Is the audit format compatible with your compliance requirements?

Operational Criteria

Deployment model. Can you self-host, or is it cloud-only? Self-hosting provides data sovereignty and avoids vendor lock-in. Cloud-only provides operational simplicity.

Availability and reliability. What is the vendor's SLA? What happens to your agents when the safety service is down? Does the tool support fail-closed behavior?

Scalability. Test with your expected peak load. Safety infrastructure must handle traffic spikes without degrading or failing.

Business Criteria

Pricing model. Per-agent, per-action, per-seat, or flat rate? Model the cost at your expected scale. Per-action pricing can become expensive at high volumes.

Open-source availability. Is the core tool open source? Open-source tools provide transparency, avoid lock-in, and allow customization.

Vendor viability. Is the vendor funded and stable? A safety tool from a vendor that shuts down leaves you exposed.

Community and support. Is there an active community? Is documentation comprehensive? What are the support response times?

Score each criterion on a 1-to-5 scale and weight them based on your priorities. A regulated enterprise will weight compliance and audit trail heavily. A startup will weight integration simplicity and cost.