Evaluate · Owl AI
The machine sorts. Our pentesters decide.
Owl AI, our pentesters’ in-house tool, handles reconnaissance and replays known vulnerabilities. Our pentesters spend their time on what a machine cannot find.
Owl AI → pentesters handoff
Sample handoff sheet, on a fictitious target
Owl AI
- Surface mappingdone
- Known vulnerabilities replayeddone
- False positives removeddone
Pentesters
- Exploiting the validated vectorsto do
- Chaining and business logicto do
- A local model, trained by DMC DEFENSE on real-world cyber data
- Private beta
Owl AI covers the surface, then hands over
Owl AI works in three of the seven phases of our PTES methodology. The other four remain the work of our pentesters.
- 01Pentesters
Pre-engagement & rules
Scope, testing windows and rules of engagement agreed with your IT team, before the first test.
- 02Owl AI
Intelligence gathering
Owl AI automates reconnaissance and enumeration, then maps the exposed surface: its models correlate findings beyond signature-based tools.
- 03Pentesters
Threat modeling
What matters to your business, and the most likely paths to reach it.
- 04Owl AI
Vulnerability analysis
Owl AI replays known CVEs, adapting its strategy to the responses received, then safely verifies that a vulnerability is actually exploitable. False positives are removed before they reach the pentesters.
- Handoff to the pentesters
Only validated vectors cross the line.
- 05Pentesters
Exploitation
Controlled exploitation attempts on the validated vectors: privilege escalation, lateral movement.
- 06Pentesters
Post-exploitation
Linking minor flaws into a path that leads to the data, and finding the business logic flaws no scanner sees.
- 07Owl AI drafts, the pentesters review
Reporting & debrief
Owl AI prepares a first draft of the repetitive sections, such as the reproduction steps; our pentesters review everything, write every recommended fix and present the report to your management.
Continuous testing: Owl AI also integrates into your CI/CD pipelines, for ongoing pentesting rather than a one-time assessment.
What Owl AI changes, measured on our engagements
Three concrete gains over a classic manual pentest.
Testing cycle
2h
Owl AI cuts the testing cycle from 2 weeks to 2 hours through automation.
False positives
−90%
Owl AI filters out 90% of the false positives that classic scanners would have you process needlessly.
Report time
−40%
Repetitive report sections are generated, then reviewed by our pentesters.
Three levels of depth
From an external attacker to full system visibility: what you share with us at the start sets the depth of the test.
- Black box
External attacker simulation
No prior system knowledge. Focus on exposed attack surfaces and publicly accessible vulnerabilities.
- Grey box
Partial knowledge
Limited access (credentials, API, architecture context) to identify misconfigurations, privilege escalation paths and business logic flaws.
- White boxComing soon
Full visibility
Source code and architecture diagrams, for deeper vulnerability analysis and advanced detection.
Owl AI is integrated into our Offensive Security service
It is not sold separately: request a free audit to benefit from it.
After you send it
Reply within 24 business hours
An expert reads your request and gets back to you to qualify your need.
Free audit
On Microsoft 365: a one-hour audit of your tenant's posture (Secure Score, identities, Defender) and your priority flaws. Otherwise: we scope your need (pentest, security policy) and set the price. No commitment.
Dedicated contact
The same DMC expert follows you end-to-end, with no call-center in between.