Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

Home / Resources / AI Harness Playbook

Playbook · Free PDF

How to build an AI harness for product security teams

The question security teams ask most is which model they should use. The better question is what sits around the model.

That is the harness, and it decides whether AI is safe to run on its own. This playbook breaks it into four parts you can design, test and build on.

Free PDF
For product security teams
Delivered by email

Playbook

The AI Harness Playbook

Nullify

Weighing up building your own harness? Use the four parts as a checklist for what your build needs before AI runs without a human in the loop.

Get the playbook

Fill in your details and we'll email you the PDF.

Loading form…

By submitting this form, you agree to Nullify's Privacy Policy and to receive emails about this resource.

Your resource will be in your inbox shortly.

Check your inbox for an email from Nullify with the link to the PDF. If it hasn't arrived in a few minutes, check your spam or promotions folder.

Book a demo →

What's inside

The four parts of a harness worth reading first

Each part covers what the harness has to do so the model's output can be trusted without someone checking every result.

01 · Routing

Sends each job to the right agent

Simple questions go to a cheaper model with the right evidence, and hard ones get deeper reasoning.

02 · Context

Knows what matters to your business

Every decision is tied to your assets, your data sensitivity and your threat model.

03 · Guardrails

Never hides a real issue

A finding is only dismissed when there is clear evidence it is safe, and anything uncertain goes to full triage.

04 · Proof

Checks its own work

Fixes are tested against your build and improved until the pull request is ready to merge.

Nullify continuously allocates AI capacity toward the highest-impact product security work, maximizing outcomes from every engineer hour and every token spent.

Want to see a harness running before you build one?

We'll show you Nullify finding, proving and fixing a vulnerability in your own environment, so you can decide with both options in front of you.

Book a demo →