Hello Cyber Builders š
This week, Iām announcing a new series on Intelligent Security. Thatās the name we used at CyGO Entrepreneurs for something I deeply believe in: how AI can enhance and scale cybersecurity operations.
If youāve followed RSA25 or Black Hat this year, youāve noticed itāvendors everywhere are pitching AI agents and AI copilots for security. Exciting, yes. But letās not fool ourselves: AI is not a magic wand. What it is, though, is a powerful multiplier. And when youāre facing scaling challenges in risk and governance, identity security, OT, or security operations, multipliers matter more than silver bullets.
Thatās what I want to explore in this series. Before we get lost in the noise of new features, letās pause and ask:
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Why do we actually need AI here?
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What can AI realistically do today?
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How do we separate real progress from clever marketing?
While Iām refining the key themes for this series, for this week, I want to leave you with something fascinating: the AIxCC Challenge, presented at DEF CON this August. I will give you an overview, but you can learn more and watch the full 1H video on the dedicated website.
This challenge, run by DARPA, asks teams to use AI to find and patch vulnerabilities in source code. The catch? These arenāt obvious bugs. Theyāre sophisticated issues carefully planted in reference codeāthe kind of vulnerabilities that keep CISOs awake at night.
These teams didnāt just walk away with millions. They proved something bigger. Their Cyber Reasoning Systems (CRSs) managed to find 77% of the vulnerabilities and generate correct patches for 61% of themāinside more than 54 million lines of code. Let that sink in. AI systems are digging through mountains of code and fixing flaws at scale.
And hereās the best part: all seven teams are making their systems open source. Which means you can study them, adapt them, apply them, and yesābuild on top of them.
As Andrew Carney, the AIxCC Program Manager, put it, the competition showed us whatās now possible.
And hereās why it matters. First, the challenge has been running for two years. The results are open sourceāmeaning we can all study and learn from them.
Moreover, they have not only identified the issues but also patched them, demonstrating a proactive approach to problem-solving.
All this is only for 152$ per found and patched issue
My personal note on this is that when you look at the CRS repositories, you realize that AI is not a magic wand doing expert work by itself. It acts as a multiplier for best practices. It orchestrates many tools, evaluates the results of existing tools (like a fuzzer, for example), and determines the next best action to take.
So, you shouldn’t view AI as a standalone system. Instead, it will work like a doctor treating a patient, using a team of experts and their tools.
Thatās a glimpse of Intelligent Security in action. And itās a reminder: AI in cyber is not just hype. Itās happening now.
What the AIxCC challenge proved is simple: AI is no longer just an assistantāitās a force multiplier that can change the economics of cybersecurity. Finding and patching vulnerabilities at scale, for just $152 per issue, is not science fiction. Itās here. Itās working. And itās open for everyone to study and build on.
This is Intelligent Security in action. Not buzzwords, not marketing slidesāreal systems solving real problems.
And in the weeks ahead, weāll dive deeper into what Intelligent Security means for risk and governance, identity, OT, and security operations. The tools are here. The question is: what will you build with them?
Stay tuned.
Laurent š
Everything they do is open-source, but they always have difficulties justifying it! Keep going, guys.
Big proponents of open source, passionate about helping the āpoor open-source maintainers who are quite alone to fix all the vulnerabilitiesā. Thanks for your work!
Cybersecurity and AI professionals with a shared background attending Carnegie Mellon University and succeeding in DEF CON Capture the Flag more than anyone else!


