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Security Insights · aikido.dev

How to Add AI Pentesting to an Existing Security Stack

· Original article ↗

Summary

Aikido’s guide covers scoping and integrating AI pentests with existing security tools, including staging environments, role-based credentials, optional source-code access, and retesting. Aikido reports white-box tests found 7x more vulnerabilities than grey-box tests.

Key points

  • The guide recommends testing staging or pre-production environments with test data to avoid risk to live users and data.
  • It advises including credentials for each user role so tests can check whether one role can access another role’s data.
  • Aikido says white-box testing with repository access found 7x more vulnerabilities than grey-box testing across more than 1,000 pentests.
  • The article describes continuous testing that launches targeted agents when configured code changes appear security-relevant.
  • Aikido says its agents validate findings and provide proof-of-concept steps; teams should assign ownership, remediate, and retest findings.
  • The guide says AI-led agents can explore paths not covered by scripted tools, while emphasizing the need for safeguards against harmful actions.

Article Details

Topic
Integrating Aikido AI pentesting with existing security workflows and tools

Vendors

AikidoAikido Security's AI Pentesting fits into the stack you already run. Even if you're committed to your current code and cloud security tools, you can add AI pentesting on top to catch the complex logic flaws

Products

Aikido AI PentestNational Bank of America needed to pentest a new customer portal on a deadline, its team had an Aikido AI pentest running in less than a day. The test finished in 1 hour and 40 minutes and found a high-severityAikido Infiniterepositories) finds more vulnerabilities than blackbox testing for the same amount of credits. Aikido Infinite (continuous pentesting) pentests the diffs on new deploys.Aikido Machineexploitability checked as their app changes use Aikido Infinite, which tests on every deploy, and Aikido Machine runs the same pentests on-prem for industries where code can't leave your network. External networkAutofixFindings feed straight into remediation. Where supported, AutoFix proposes code changes for pentest findings, and developers review and merge them, then retest to confirm the fix worked. Teams can start with AICode Security AuditCode Security Audit for new apps and major releases: Code Security Audit reasons across the whole codebase, tracing a request from the route handler down to the database query and asking whether the code does what it'sDeep PR ReviewDeep PR Review to keep up between releases: Deep PR Review applies the same reasoning to every pull request, checking how each change interacts with code elsewhere in the repository and in linked repos. It catches the

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