AI-assisted security testing
AI-Powered Penetration Testing
Use AI to widen the search and connect evidence while a human tester controls scope, validates every finding and owns the conclusion.
The engagement
Use AI to widen coverage, not make findings
AI can help a tester review a larger body of application behavior, generate useful test variations and correlate technical output. It can also invent explanations, repeat weak assumptions and produce results that are not safe to run without review.
GDF treats AI as an instrument inside a human-led test. The rules of engagement define which systems and models may be used, what data may be processed and which actions require direct approval. A qualified tester reviews every proposed action and reproduces every reported finding.
Scope
Reconnaissance triage
Use approved tools to organize exposed services, technology clues and candidate paths for human review.
Test-case variation
Generate and prioritize input, workflow and configuration variations without allowing a model to set its own scope.
Application and API analysis
Correlate routes, roles, schemas and observed behavior to identify test sequences that merit validation.
Evidence correlation
Group scanner, request, identity and configuration evidence so the tester can assess connected attack paths.
Human validation
Reproduce candidate findings, reject unsupported output and retain the technical record behind accepted results.
Targeted retesting
Use the original evidence and approved variations to confirm that the material path is closed.
Methodology
How the test runs
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Constrain
Define targets, models, data handling, prohibited content and human approval points.
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Explore
Use AI-assisted analysis to expand candidate coverage within the authorized test plan.
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Reproduce
Require a tester to validate the condition and observed impact before it becomes a finding.
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Document
Record methods, evidence, limitations and the role AI played in each reported result.
Evidence commonly examined
Evidence reviewed
- AI and tool-use plan
- Approved model and data boundaries
- Prompts, commands and test records where relevant
- Human reproduction evidence
- Rejected and accepted candidate findings
- Remediation and retest record
What you can expect
What you receive
- AI-use and test-scope statement
- Human-validated technical findings
- Attack-path and evidence correlation
- Prioritized remediation and retest results
Frequently asked
Common questions
Does AI replace the penetration tester?
No. A human tester controls the engagement, reviews proposed actions and validates every reported finding.
Will proprietary data be sent to a public model?
Not by default. The scope identifies approved tools, processing locations and prohibited data before testing begins.
Does AI-powered testing guarantee broader coverage?
No finite test guarantees complete coverage. The report states the tested surface, methods, period and limitations.
Related capabilities
Related services
Talk with an examiner
Discuss the matter and the next step.
Call to discuss timing, scope and the safest way to share information. Do not send evidence or credentials by email.
24/7 hotline: 1-800-868-8189