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AI agent for penetration testers

Safe Proof-of-Concept Validation Agent

A proof of concept that is shown to work in the lab and is safe to run against the client

Risk managementIT and development
See how it worksGet access
Safe Proof-of-Concept Validation Agent: what goes in, what the agent does and what you get

What it does

Exploit steps that work in theory can disrupt a client system when run. This agent first rebuilds the finding in a lab copy of the client environment. It runs the proof of concept there, recording whether it works and what it changes, such as services stopped or data modified. If it fails, it adjusts the steps and tries again. It then writes a final safe version with the smallest possible impact. The tester approves running that version against the client. Edge case: the proof of concept restarts a service, so the agent finds a read-only way to show the same weakness.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueYes, continueApprovedNoNo 1 STARTS WHEN Tester has a finding to prove 2 USES A TOOL Build or open a lab copy that matches the clientsystem 3 DOES Write the proof of concept steps 4 USES A TOOL Run the steps in the lab and record the effects 5 CHECKS THE RESULT Does the proof work in the lab? If not: adjust the steps and rerun. Back to step 3. 6 CHECKS THE RESULT Is the impact limited to what the rules allow? If not: redesign for a read-only or less disruptiveversion. Back to step 3. 7 DOES Write the final safe version with expected output 8 YOU APPROVE Tester approves running it against the client 9 USES A TOOL Tester runs the approved version 10 RESULT Evidence saved with the result
Read the steps as a list
  1. Tester has a finding to prove
  2. Build or open a lab copy that matches the client system
  3. Write the proof of concept steps
  4. Run the steps in the lab and record the effects
  5. Does the proof work in the lab?If not: adjust the steps and rerun. Back to step 3.
  6. Is the impact limited to what the rules allow?If not: redesign for a read-only or less disruptive version. Back to step 3.
  7. Write the final safe version with expected output
  8. Tester approves running it against the clientThe agent waits here for your OK.
  9. Tester runs the approved version
  10. Evidence saved with the result

How it decides

A version is safe when it demonstrates the weakness without changing data, stopping services or exceeding the rules of engagement.

  • Run in the lab first
  • Reject steps that change data or stop services
  • Prefer read-only demonstrations
  • Stay within the rules of engagement

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Rules of engagement
  • Allowed effects
  • Lab setup
  • Evidence format

What keeps you in control

It always asks you first

  • Tester approves running the final version against the client

Hard limits

  • Never runs anything against the client
  • Never uses steps that damage data

It stops when

  • Done: the safe proof is approved and evidence is recorded
  • Stop: the lab cannot match the client system

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensA tester found a file upload flaw. The first proof wrote a file into the web root, which the rules forbade. The agent changed it to upload a harmless text file in a test folder. In the lab it worked and left one new file. The second check passed. The tester approved running it on the client, and the file was removed afterward.

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