Before buying an AI detection and response product, ask what it can see, how it decides something is risky, what it can block, where your prompts and data go, and how you leave. The term is new and vendors define it differently, so make each one explain in specifics. This list ranks no vendors.
Why ask hard questions now?
AI detection and response (AIDR) is an emerging area. There is no single settled definition, and capabilities range from simple keyword checks on prompts to monitoring of agent tool calls. A glossy demo can hide big differences. The questions below aim at how the product behaves on your traffic.
Visibility questions
1. How does it learn which AI tools and agents we use? Through a browser extension, network proxy, API integration or agent instrumentation? Each sees different things. Ask what it cannot see, such as AI use on personal devices.
2. Does it cover agents as well as chat use? Ask whether it records tool calls, files read and actions taken, or only prompts and replies.
3. Which AI services and models does it recognize, and how fast are new ones added? Ask for the process, not the logo list.
Detection questions
4. What does it detect, in plain words? Examples a vendor might cite: sensitive data in prompts, hostile instructions embedded in content, unusual tool use, policy violations. Ask for each, how it is detected and what the known limits are.
5. What are the false positive and false negative rates, and how were they measured? A vendor that gives a number should explain the test. Do not accept an unsupported figure. Run your own trial instead.
6. Can I see why an alert fired? Explanations let your team tune and let you defend actions to staff.
Response questions
7. What can it do: alert, redact, block, require approval? For each action, ask whether it is configurable per team and per tool.
8. What happens if the product is unavailable? Does traffic fail open or fail closed? Choose per use case.
9. Does it work outside the model? Controls that limit what an agent can access are stronger than controls that only read text, because they hold even when detection misses something. Ask how it combines both.
Data and privacy questions
10. Where do prompts and responses go, and who can read them? Ask about storage location, retention, deletion, access by the vendor's staff and any use of your data to train models.
11. How are employees informed? Monitoring prompts can raise legal and employment questions. Ask what the vendor recommends and check with your counsel.
12. What assurance can you show? Ask for independent audit reports and read their scope. Check any certification claim at the source.
Commercial and exit questions
13. What is the price based on, and what makes it rise? Users, requests, agents, data volume? Get the formula in writing.
14. Can I export policies, alerts and logs, and what happens to my data at exit?
15. What is on the roadmap versus available now? Only count what you can see working today.
How to run a trial
Build a small set of constructed test cases with the vendor's agreement, such as a dummy file with fake sensitive values pasted into a prompt, and a test agent that has a narrow tool set. Check what is visible, what is flagged and what is blocked. Keep tests defensive and on non production data. Review results with legal and engineering together.
Red flags
- Claims of detecting every attack.
- No description of how detection works.
- Unlimited data retention by default with no deletion path.
- Refusal to run a trial on your own traffic.
A scope note
Safeguard focuses on the application and software supply chain side, including guardrails and agent identity for software delivery, and does not replace a dedicated AI detection and response product. Compare any vendor, including us, against the same questions.
What to do
- Decide which visibility and response capabilities you need first.
- Send the questions in writing to each vendor.
- Run a trial with constructed test cases and real engineers.
- Involve legal on monitoring and data handling.
- Put data use, retention and exit terms in the contract.
Quick check
What is the most important question?
What it can actually block, and whether controls hold when detection fails. Detection alone will miss things.
Should I trust a vendor's accuracy number?
Only with an explanation of how it was measured. Run your own trial on your own traffic.
Sources
This list reflects general procurement practice. AIDR has no settled standard definition and no standards body page was fetched, so check each vendor's own documentation.
Last reviewed: 18 October 2026.
