Jobs › Computer and Mathematical

AI exposure report

Will AI replace Penetration Testers?

Many of your tasks are within reach of AI. The role will change, so it pays to act now.

Task exposure to today's AI

52/100

High exposure

This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.

Get your personal score

Will AI replace Penetration Testers?

Not entirely. Today's AI tools can take on about 52% of the typical work in this occupation, mostly: document penetration test findings. The parts that stay human include: Test the security of systems by attempting to gain access to networks, Web-based applications, or computers.; Develop and execute tests that simulate the techniques of known cyber threat actors.; Identify security system weaknesses, using penetration tests..

People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.

Which tasks AI can take on

The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.

TaskAutomatable
Document penetration test findings. 78%
Develop infiltration tests that exploit device vulnerabilities. 60%
Evaluate vulnerability assessments of local computing environments, networks, infrastructures, or enclave boundaries. 53%
Develop and execute tests that simulate the techniques of known cyber threat actors. 50%
Identify security system weaknesses, using penetration tests. 47%
Test the security of systems by attempting to gain access to networks, Web-based applications, or computers. 28%

+ 16 more tasks (44% of the week) in the full test.

Your human edge

  • Test the security of systems by attempting to gain access to networks, Web-based applications, or computers.
  • Develop and execute tests that simulate the techniques of known cyber threat actors.
  • Identify security system weaknesses, using penetration tests.

AI tools to try

Coding assistants (GitHub Copilot, Claude Code, Cursor)ChatGPT / Claude for design and debuggingAI test and documentation generators

Related roles

A 3-phase AI learning plan

Phase 1

Pair programming with AI

  • Use a coding assistant for boilerplate, tests and refactoring.
  • Give it context: project rules, examples, small steps.
  • Review AI code like a colleague's pull request.

Project

Use an AI coding assistant to build and refactor a custom port-scanning script in a lab VM, then review its code as a PR and time the build.

Phase 2

AI in your systems

  • Call an LLM API with structured output.
  • Retrieval over your own documents or data.
  • Evaluate quality, cost and latency before shipping.

Project

Build a retrieval tool over your own past pentest reports so an LLM API can auto-suggest known vulnerabilities for a new target scope, structured as JSON findings.

Phase 3

Production-grade AI

  • Evals and regression tests for prompts.
  • Security: prompt injection, data leaks, permissions.
  • Monitoring and cost control.

Project

Deploy an AI-assisted report-writing pipeline for pentest findings with prompt-injection tests, access controls, and cost/latency monitoring before using it on a real engagement.
Take the free 11-question test