Hey everyone, I'm Mike, founder of IntegSec and the driving force behind TurboPentest. In a world where AI is churning out code at unprecedented speeds, traditional security testing is struggling to keep up. This is the story of how I went from leading massive global software engineering projects to building a revolutionary agentic pentesting platform, mostly solo but with some serious AI horsepower.
The first half of my career was deeply rooted in building and assuring quality software. As a software engineer and later architect, I designed scalable systems and shipped features in big tech environments. A later portion was dedicated to software development test engineering, where I mastered critical disciplines that would later prove essential in creating TurboPentest:
These practices taught me the power of rigorous, automated testing, layered validation, and shifting quality left. Principles that directly influenced how we architected TurboPentest's agentic workflows, CI/CD integrations, and continuous testing capabilities.
I also had the privilege of leading large global software engineering projects spanning hundreds of developers, multiple architects, distributed teams across time zones, massive coordination efforts, and complex dependency management. Coordinating that many humans to deliver high-quality software on time was intense, but incredibly rewarding.
Then I pivoted to the offensive side of cybersecurity. At Trustwave SpiderLabs and IBM X-Force Red, I mastered penetration testing, red teaming, and vulnerability assessments. I led teams in both organizations, running high-stakes engagements against Fortune 500 clients, simulating advanced adversaries, and delivering actionable findings that actually improved security postures. Those years taught me what real attacks look like and why human creativity remains irreplaceable in offensive security.
In 2024, I founded IntegSec to focus purely on offensive cybersecurity: expert penetration testing, red team simulations, vulnerability assessments, and adversary emulation to help organizations proactively strengthen their defenses.
A visual reminder of traditional large-scale team structures vs. the cross-functional, high-velocity approach we're embracing today.
By late 2025, something shifted. AI-generated code was flooding repositories, faster, more voluminous, and often more complex than ever before. Human pentesters, no matter how skilled, couldn't manually test it all at the required velocity. I saw the gap clearly: we needed something smarter than legacy scanners but that didn't pretend to replace the essential human element.
That's when my addiction to Claude's coding prowess kicked in. I pulled my dusty coder hat out of storage and set up shop on my desktop (no laptop distractions, just a powerful rig, multiple monitors, and endless coffee). I assembled a virtual team of six Claude instances, each handling distinct roles in a full software development lifecycle inspired by the best practices I'd seen and used in big tech: sprint planning, architecture design, modular coding, unit/integration testing, peer review simulations, and automated CI/CD for rapid iteration and deployment.
It was intense but incredibly efficient. We'd divide labor: one Claude on agent orchestration, another on blockchain for immutable logging, others on AI reasoning loops, exploit chaining, and reporting. Bugs were squashed in minutes, features prototyped overnight. This mirrored enterprise-grade development: version control, automated pipelines, and continuous feedback loops.
And here's the wild part: I used to coordinate hundreds of developers and architects to ship software at scale. Now, with just six Claude code instances, I could get more done, faster, with higher iteration velocity than entire teams I once led. Wild stuff! AI orchestration turned a solo builder into a hyper-productive force.
My actual late-night desktop setup: multiple screens (5 to be exact), dark mode, caffeine on tap.
Fueling those marathon sessions.
The result? TurboPentest.com, an agentic AI platform built for the realities of modern development. It delivers automated, continuous penetration testing with deep integration into build pipelines, providing always-on coverage without the scheduling bottlenecks of traditional pentests.
Key highlights:
My background in unit testing, fuzzing, threat modeling, and large-scale engineering directly informed the resilience, adaptability, and depth of our agentic pentesting agents.
Importantly: TurboPentest is not here to replace human hackers. Skilled pentesters and red teamers remain absolutely essential for creative adversary emulation, novel attack vectors, business logic deep dives, and interpreting nuanced risks in high-stakes environments. What it does brilliantly is bridge the massive scale gap created by AI-accelerated code production. It handles the volume, provides continuous coverage, and frees humans to focus on the strategic, high-value work only we can do.
A peek at what modern pentesting dashboards and agentic workflows look like: visualizing findings, attack paths, and remediation in real time.
In 2026, the sheer amount of code being generated demands a new approach to offensive testing. TurboPentest, born from my blended expertise in large-scale software leadership, test engineering, architecture, and elite pentesting, powered by AI collaboration on my desktop, delivers that evolution.
If you're building fast in cloud-native SaaS, dealing with AI-generated code, or just tired of noisy scanners and infrequent manual tests, join the waitlist at TurboPentest.com today. No commitments, just early access and a chance to see the future.
Human ingenuity + agentic scale = the future of offensive security.
Thoughts? Drop a comment, join our Discord:
https://turbopentest.com/discord
Let's talk about how we're all adapting to this new era.