AI security solutions are hitting the market as vendors respond to growing AI adoption and risk. Organizations now need a clear way to define their enterprise-grade AI security requirements and evaluate how solutions enable them to safely adopt, govern, and scale AI during live operation.
This Request for Proposal (RFP) template is a working structure for that process. It’s a comprehensive and equitable way to run consistent vendor evaluations, spanning scope, design principles, use cases, vendor guidance, and detailed questions across AI security domains.
It can be used as-is or tailored to environments. Either way, it saves teams weeks of internal planning and drafting.
What’s inside the RFP:
- Getting started: Guidance on how to use the RFP, organize responses, and structure the evaluation process.
- Setting clear requirements: Expectations for visibility, protection of sensitive data, security for internal AI applications, oversight of agentic systems, runtime governance, and integration into existing environments.
- Applying design principles: How governance, enforcement, and controls should operate during live AI use.
- Utilizing real enterprise use cases: Anchors vendor responses in scenarios like use of third-party AI tools, internally developed applications, agent-driven workflows, regulated environments, and integration.
- Validating right fit vendors: Questions that evaluate solutions across architecture, integration, visibility, application security, agent governance, data protection, and operations.
