Every Route and Role Mapped
Endpoints, parameters, user roles and the objects each one can reach, including the API calls a browser never shows.
AI Assisted Reconnaissance, Human Validated Exploitation, and Remediation Retesting
Penetration Testing at Machine Scale, Proven by Human Hands
An application with hundreds of routes and a cloud estate that changes every week will not fit inside a two week manual test. A Global Digital Forensics AI powered penetration test proves which of those routes, roles and permissions an attacker could chain into your data. AI tooling sorts the surface and drafts the test cases, and a senior tester runs, reproduces and signs every finding.
Coverage without guesswork
Full Coverage for Large Applications and Fast Moving Clouds
A manual test has to sample. Several hundred routes, six user roles and an API nobody fully documented cannot all be tried by hand in the window a budget allows, so the tester picks a slice and the rest goes unexamined. We use approved AI tooling to sort every route, map which role touches which object and draft the permission checks in hours, then put the tester's time on the paths that could actually reach your customer records, your admin console or your cloud control plane.
Need one engagement with a start and a finish? That is a network and application penetration test. Releasing every sprint? Continuous AI penetration testing runs the same method as a recurring program.
Test Cases Drafted at Scale
Input, workflow and authorization variations generated across the approved targets, ranked so the riskiest run first.
Findings Reproduced by Hand
A tester runs each candidate, discards what the model imagined and keeps the evidence behind what survives.
The engagement
AI Widens the Search. A Tester Decides What Is True
AI tooling earns its place by doing the work that exhausts people: sorting routes and parameters, correlating scanner output with observed behavior, drafting variations of a test case and tracking what has already been tried. A tester decides which proposals run, reads every generated command before it touches your environment and treats model output as a lead. Nothing becomes a finding until a person has watched it happen.
That is the difference you pay for. A report built on probability sends developers chasing vulnerabilities that do not exist; a report built on reproduction tells them exactly which request, which role and which object produced the exposure.
What the tooling covers
Exposed surface
Services, technology fingerprints and candidate entry points sorted so the first hours go to the paths most likely to matter.
Test case generation
Input, workflow and configuration variations drafted and ranked, with the tester controlling what is in scope and what runs.
Applications and APIs
Routes, roles, schemas and observed behavior correlated to find the sequences worth testing by hand.
Attack path assembly
Requests, identity data and configuration grouped into connected paths instead of a pile of isolated alerts.
Manual validation
Each candidate reproduced, anything unsupported discarded and the technical record kept for every finding that survives.
Retest
The original evidence and agreed variations replayed to confirm the fix closed the path rather than moving it.
Methodology
Machine Breadth First, Human Proof Second
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Boundaries: Targets, Tools and Data Rules
Targets, permitted AI tools, processing locations, prohibited data and human approval points are agreed in writing before any test runs.
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Exploration: Machine Scale Candidate Tests
AI tooling develops and ranks candidate tests inside the authorized plan while the tester steers attention toward the paths worth proving.
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Validation: Reproduced Impact Only
A tester reproduces the condition and the observed impact before anything is accepted as a finding.
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Reporting and Retest: Evidence You Can Replay
Methods, evidence, coverage and the role AI played in each result are recorded, and corrected findings are retested against the original evidence.
Every stage ends in evidence your engineers can replay. Scope Your Assessment
Choose the Surface and the Depth
Web applications and APIs
The densest use of AI assistance. We enumerate every route and parameter, map roles to objects and test authorization at a scale that catches the one endpoint where a customer can read another customer's invoices.
Cloud and identity
Role assignments, trust policies and service identities change weekly. Tooling correlates them into candidate paths from an ordinary identity to administrative control, and the tester proves which ones are real.
Internal network from an assumed breach
Starting from an agreed foothold, such as a standard user laptop, we measure how far privilege escalation and lateral movement can go and whether segmentation contains it.
Where conventional testing is stronger
Some systems are better tested by hand from the start, such as fragile legacy hosts or a small application with complex business logic. We say so during scoping and plan the work accordingly.
Not sure which surface to start with? Call (800) 868-8189 and a senior tester will tell you where AI assistance pays for itself and where it does not.
Every Proposed Test Passes Through a Tester First
Take a typical case. An approved model proposes twenty variations of a permission check in an application that serves many customer organizations, changing roles, object identifiers, request methods and sequence. The tester reads the proposals, strikes anything outside scope or likely to disturb production, runs the permitted cases by hand and records what the application actually did. Only a demonstrated result becomes a finding.
Reviewing generated commands before execution catches the unsafe step while it is still text on a screen. Reproduction also shows whether a result came from the weakness the model proposed or from some other condition, which is the difference between a finding your developers can fix and a distraction they will resent.
Your Data Stays Inside the Environment You Approved
The rules of engagement name the AI tools permitted, where processing happens and what client information may be used with them. Source code, credentials, personal data and detailed findings go to no service you have not approved, and if nothing may touch a public model, we plan the work around tooling that runs where you allow. The approved workflow also fixes which prompts and supporting records are retained, so the account of how a finding was reached still exists months later when an auditor asks.
A model holds no authority in our engagements. It cannot expand the target list or approve an action. When a promising test needs access we do not have, that becomes a conversation with your team before anything else happens. Send your vendor data handling rules with the scoping request and we will confirm in writing which tools and boundaries we will work within.
Senior Testers Who Sign Their Findings
Global Digital Forensics examiners have explained their results under oath in federal and state courts, and the report from an AI powered test is written to that standard: it separates what the tooling suggested from what the tester concluded, which matters the day an auditor or a regulator asks how a finding was established.
Findings go out under the names of senior people, led by founder, CEO and CTO Joseph Caruso, a CISSP whose technology career began in 1980 and includes cybersecurity incident response. Read the team biographies.
Send us the systems and the deadline, and the first call will set the scope, the approvals and the schedule.
The testing record
A Record That Shows How Each Finding Was Reached
We keep the AI and tool use plan, the approved data boundaries, the prompts, commands and requests behind each test, the candidates the tester accepted and the ones rejected, and the reproduction evidence for every reported weakness. The remediation and retest record ties each correction back to that original evidence.
What you receive
Validated Findings and a Ranked Fix List
A scope statement covering the approved tools, data boundaries and coverage; findings carrying the evidence a tester reproduced; the attack paths that connect them across systems; and remediation ordered by business consequence, followed by retest results once your team has made the fixes.
Free planning guide
Call (800) 868-8189 or request a scoping call to plan the work around your operations.
Get Your Environment Ready for the First Test Window
The Penetration Test Readiness Checklist walks your team through the decisions a tester will raise on the first call: targets and owners, testing windows, written authorization, data handling rules, report audience and retest dates. The companion pack adds a CSV workbook and an obligation register you can fill in and send with your scoping request.
Download the Readiness Checklist (PDF) Download the Workbook (ZIP with CSV)
Read the readiness checklist online, or check unfamiliar report terms in the cybersecurity and forensics glossary.
Frequently asked
Your Own AI Systems, Public Models and Tester Accountability
Does this test the security of our own AI system?
This service uses AI tooling to test your applications, cloud and infrastructure. Testing a model, an agent or a retrieval pipeline is our AI security testing engagement, and the two can be scoped together.
Can we prohibit processing through public models?
Yes. Data and tool restrictions go into the rules of engagement, and we plan the AI assisted work around the tooling and processing locations you approve.
Who is responsible for a reported finding?
The human test team. Every finding is reproduced by a tester before it appears in the report, and model output alone never counts as evidence of a weakness.
Does AI replace the penetration tester?
No. A senior tester controls the engagement, approves each proposed action, validates every finding and walks your team through the results.
What does AI assistance change about coverage?
It lets us examine far more candidate paths in the same testing window. The report states the tested surface, the methods and the period, so leadership knows exactly what was covered.
How do we get a scope and price?
Tell us the applications, cloud accounts and networks involved, your data handling rules and your deadline. The first call is free and covers the recommended surface, the timeline and the pricing.
Book the First Test Window
Share the applications and cloud accounts you want covered, the data rules any tool must respect and the date you need answers. On the first call a senior tester will tell you where AI assistance adds coverage, where hand testing is the better route, and what the engagement will take in time and price. That consultation is free.
Scope Your Assessment Call (800) 868-8189
Narrower question? Application penetration testing goes deep on one product, and AI security consulting covers the security of the AI systems you deploy.
Talk with an examiner
Your Data Handling Rules Shape the Test
Name the applications and cloud accounts, any tools that are off limits and your deadline. A senior tester replies with a proposed scope.
GDF has operated since 1992 and provides 24/7 dispatch for security and forensic inquiries. Its forensic practice includes court tested experts.
Reviewed by Joseph Caruso, Founder, CEO and CTO, CISSP. Last reviewed .