Artificial intelligence is accelerating software development and reshaping the security expectations that surround it. Developers are shipping code faster than ever, often with the assistance of AI tools.
However, this same technology has also changed the economics of attacking software. Adversaries are using AI to lower the cost of reconnaissance and iterate through exploits at scale.
In a recent webinar hosted by Rhymetec and XBOW, Christian Mouer, Director of Offensive Security at Rhymetec and Bill Nichols, Head of Customer Success at XBOW explored how an AI-powered penetration testing model allows organizations to increase testing velocity, validate real attack paths faster, and gain broader visibility across modern applications, while maintaining the depth and context required for meaningful risk reduction.
Why Traditional Penetration Testing Timelines No Longer Match Modern Development
Many organizations still rely on annual or semi-annual point-in-time tests, an engagement begins, a snapshot is taken, and a report is delivered weeks later. That approach worked when applications changed slowly and release cycles were measured in quarters.
Today, development moves continuously. New features, endpoints, and integrations are introduced on a weekly, sometimes daily, basis. By the time a traditional test is completed, the environment it assessed has already evolved.
To keep pace, defenders cannot simply scale humans linearly with software output: it is cost and time-prohibitive. This is where autonomous offensive security comes in.
From Theoretical Exposure to Proven Exploitability
One of the most consistent pain points for security teams is the volume of unverified findings produced by automated tools. Large scan outputs require significant internal effort to determine what is real, what is exploitable, and what actually matters to the business.
The approach demonstrated in the webinar prioritizes validation. Exploits are executed against the live environment, attack paths are confirmed, and results are correlated before they are ever delivered.
That shift changes the nature of the final report. Instead of a backlog of potential issues, organizations receive a focused set of confirmed vulnerabilities with clear evidence of impact.
“Hypotheses are cheap. Proof isn’t. We don’t surface a finding unless the system can validate that it’s real.” — Bill Nichols, XBOW
For security and engineering teams, this significantly reduces the time spent reproducing issues and allows remediation efforts to begin immediately.
Expanding Coverage Without Extending Engagement Length
Application ecosystems have grown far beyond a single web interface. Modern environments include large API surfaces, multiple user roles, third-party integrations, and complex authorization logic.
Manually mapping and testing that entire landscape within a standard engagement window forces difficult tradeoffs. Teams must choose between depth in a few areas or lighter coverage across the whole application.
Autonomous execution removes that constraint. Continuous attack surface mapping and parallel exploit testing allow a far greater portion of the environment to be assessed in the same timeframe.
“It’s another pen tester on the team. If we work together, we're able to cover so much more ground than we would have otherwise." — Christian Mouer, Rhymetec
This expanded coverage is what makes deeper, human-led analysis possible later in the engagement.
Reallocating Human Expertise to High-Value Security Work
When the most time-intensive phases of testing, such as reconnaissance, enumeration, and initial exploitation, are handled autonomously, the role of the tester changes.
Instead of spending the majority of the engagement identifying entry points, offensive security experts are able to focus on:
- Chaining multi-step attack paths
- Analyzing real business impact
- Validating complex authorization scenarios
- Working directly with developers on practical remediation strategies
“When we’re cutting down that investigative time, it gives us additional days to validate, find more vulnerabilities, and explore more deep-dive attack paths.” — Christian Mouer, Rhymetec
This is where the greatest risk reduction occurs and where human experience delivers the most value.
The Hybrid Approach: Why AI Doesn't Replace Humans
A common misconception about AI powered penetration testing is that it aims to replace human testers. In practice, the model works as an extension of the testing team rather than a substitute for it.
While XBOW can map an attack surface and execute exploits 24/7, it lacks the business context and nuance that a Rhymetec offensive security expert provides.
Business Logic and Context
AI might flag that a user can see all emails in a system. However, a human tester understands the context: if that user is an HR Administrator, that access is intended. Rhymetec’s team supplies the critical business logic to ensure findings are relevant to the organization's specific operations.
Complex Remediation
Finding a bug is only half the battle. Fixing it without breaking the application is the other half. Rhymetec provides the "human element" of advising on remediation strategies that align with the client’s tech stack and resources.
Parallelism and Depth
The ideal workflow involves running XBOW in parallel with manual testing.
Real-World Impact: Speed and Scalability
The combination of XBOW’s automation and Rhymetec’s expertise delivers results that were previously difficult to obtain in both timeline and scope.
During the webinar, the team shared a case study of a massive web application containing approximately 650 endpoints.
- Traditional Timeline: A thorough manual test would typically take 10 to 15 business days.
- AI-Accelerated Timeline: The XBOW agent mapped and tested the environment in roughly 48 hours.
This acceleration allowed the Rhymetec team to spend the remaining time validating complex findings and exploring deep-dive attack paths that the AI surfaced, ultimately delivering a comprehensive report in five days rather than three weeks.
“We’re able to turn around that pen test confidently within five business days rather than going 10 to 15 days out.” — Christian Mouer, Rhymetec
In Conclusion: AI as a Force Multiplier
As 76% of CISOs anticipate a material cyber attack in the next 12 months, the need for speed and accuracy in testing has never been higher.
Rhymetec’s AI-Powered Penetration Testing partnership with XBOW offers the perfect balance of intelligence and intuition. By automating the reconnaissance and vulnerability identification phases, we allow our certified penetration testers to focus on what they do best: validating impact, analyzing business risk, and guiding remediation.
Key Benefits of the Rhymetec x XBOW Partnership:
- Accelerated Timelines: Reduce testing time from weeks to days.
- Reduced Noise: AI-driven validation eliminates false positives common in traditional scanners.
- Deeper Coverage: Test vast attack surfaces and thousands of endpoints simultaneously.
- Actionable Intelligence: Receive reports validated by expert human testers, not just automated logs.
Contact us to learn more about how to integrate AI-powered testing into your security strategy.