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AI agent for devops engineers

Container Image Rebuild Agent

Deployed images rebuilt on patched bases with passing tests and fewer fixable vulnerabilities

Risk managementIT and developmentOperations
See how it worksGet access
Container Image Rebuild Agent: what goes in, what the agent does and what you get

What it does

Images built months ago carry old base layers and a growing list of known vulnerabilities. This agent scans the images running in each environment and finds which findings can be fixed by updating the base image or a package. It creates a branch with the version bumps, rebuilds the image and runs the full test suite. If tests fail, it does not give up: it tries a smaller upgrade, such as a patch version instead of a major one, and tests again. After a build passes, it scans the new image to prove the findings are gone. A person approves the rollout. Edge case: a vulnerability with no fix yet is listed with a note on compensating controls, not left silent.

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 Weekly scan or critical advisory 2 USES A TOOL Scan deployed images for vulnerabilities 3 DOES Select findings fixable by a base or package update 4 USES A TOOL Create a branch, bump versions and rebuild the image 5 USES A TOOL Run the test suite on the new image 6 CHECKS THE RESULT Do all tests pass? If not: try a smaller upgrade, such as a patch version,and rebuild. Back to step 3. 7 USES A TOOL Rescan the new image 8 CHECKS THE RESULT Are the targeted vulnerabilities gone? If not: find the layer that still carries them andupdate that package. Back to step 3. 9 DOES Write a change summary with before and after counts 10 YOU APPROVE Engineer approves the rollout 11 RESULT Pull request and rollout plan
Read the steps as a list
  1. Weekly scan or critical advisory
  2. Scan deployed images for vulnerabilities
  3. Select findings fixable by a base or package update
  4. Create a branch, bump versions and rebuild the image
  5. Run the test suite on the new image
  6. Do all tests pass?If not: try a smaller upgrade, such as a patch version, and rebuild. Back to step 3.
  7. Rescan the new image
  8. Are the targeted vulnerabilities gone?If not: find the layer that still carries them and update that package. Back to step 3.
  9. Write a change summary with before and after counts
  10. Engineer approves the rolloutThe agent waits here for your OK.
  11. Pull request and rollout plan

How it decides

Fixable critical and high findings come first. An upgrade is accepted only when the tests pass and the rescan shows the finding gone.

  • Fix critical and high findings first
  • Prefer patch upgrades over major version jumps
  • List unfixable findings with a note instead of ignoring them
  • Stop after 3 failed upgrade attempts per image

Make it yours

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

  • Severity levels to fix (default critical and high)
  • Environments and registries in scope
  • Attempts per image (default 3)
  • Rollout approval path

What keeps you in control

It always asks you first

  • Rolling the new image out to production

Hard limits

  • Never deploys an image without approval
  • Never skips failing tests

It stops when

  • Done: images rebuilt with passing tests and a clean rescan
  • Stop: tests fail on every upgrade option

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 happensThe scan of the billing image found 14 high findings, 11 fixable by moving the base from 3.17 to 3.19. Tests failed on a changed library call, so the agent tried 3.18 instead. The tests passed and the rescan showed 9 of 11 findings gone. It rechecked the remaining 2, updated a package and reached 11. The engineer approved a staged rollout.

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