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US Critical Infrastructure Is a Prime Target for Hackers: DARPA Thinks AI Can Help

At RSAC, the Defense Department agency gives us a sneak peek at its AI Cyber Challenge, which asks teams to use AI to find and fix bugs in critical US software.

 & Neil J. Rubenking Principal Writer, Security

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Nearly two years ago, scientists at the Defense Advanced Research Projects Agency (DARPA) within DoD launched the AI Cyber Challenge, referred to in mil-speak as AIxCC. With collaboration from Anthropic, Google, Microsoft, and OpenAI, this competition challenges entrants to use AI to find and fix software vulnerabilities in massive real-world programs. It’s a two-year marathon, with its first phase completed at the DEF CON 2024 hacker conference and the final phase scheduled for DEF CON 2025 in Las Vegas, immediately following the Black Hat conference.

This is high-level technology; it's not easily understandable for the average consumer (or computer security worker). To make it more accessible, DARPA set up the AIxCC Experience at the RSAC 2025 Conference in San Francisco, which whisks participants off to the fictional town of Northbridge to illustrate the dangers the challenge will help fend off, and how the kinds of vulnerabilities that AI could help fix might affect everyday life.

Visitors arrive in Northbridge on a special “train,” and are greeted by a friendly AI, KITI, and a not-so-friendly manifestation of malware. The experience fills a ballroom-sized area with sound, lights, video, and plenty of information. One area highlights the consequences of an attack on the Northbridge hospital. Another simulates an infrastructure attack that backs up the sewers, with a visible (if not tangible) flood hitting the walls every few minutes. It’s all just short of overwhelming, and any visitor will leave better informed.

The experience illustrates that utility control systems and infrastructure platforms are particularly vulnerable to attack. Many were built decades ago, with software fixes tacked on over the years. When a program contains millions of lines of code, finding and patching problems is almost beyond human capabilities. But it’s precisely the kind of thing AI should do well.

The Challenge Continues

DARPA—which managed the first network connection between computers in the 1960s—devised this challenge to encourage innovation in AI-powered cybersecurity. Ninety companies applied, and 42 made it into the competition. At DEF CON last summer, DARPA's experts put the contenders through rigorous tests, requiring them not only to autonomously find vulnerabilities in massive programs but to patch the problems they found.

Seven contenders made it through the semifinals, each receiving $2 million to advance their research. Later this year, the competition finals will reveal the first, second, and third-place winners, who will receive $4 million, $3 million, and $1.5 million, respectively, provided they open-source their discoveries.

The Experience Is Time-Limited, But Malware Persists

I wish I could say this experience is coming soon to a city near you, but that’s not the case. DARPA presents it strictly in connection with the challenge.

But I’m encouraged to think that AI can help defend us against malicious code and that the algorithms that make it happen will eventually be available to all as open-source code. If you’re lucky enough to attend the RSAC Conference right now, don’t miss this experience. For everyone else, help is hopefully on the way.

About Our Expert

Neil J. Rubenking

Neil J. Rubenking

Principal Writer, Security

My Experience

When the IBM PC was new, I served as the president of the San Francisco PC User Group for three years. That’s how I met PCMag’s editorial team, who brought me on board in 1986. In the years since that fateful meeting, I’ve become PCMag’s expert on security, privacy, and identity protection, putting antivirus tools, security suites, and all kinds of security software through their paces.

Before my current security gig, I supplied PCMag readers with tips and solutions on using popular applications, operating systems, and programming languages in my "User to User" and "Ask Neil" columns, which began in 1990 and ran for almost 20 years. Along the way, I wrote more than 40 utility articles, as well as Delphi Programming for Dummies and six other books covering DOS, Windows, and programming. I also reviewed thousands of products of all kinds, ranging from early Sierra Online adventure games to AOL’s precursor Q-Link.

In the early 2000s, I turned my focus to security and the growing antivirus industry. After years of working with antivirus, I’m known throughout the security industry as an expert on evaluating antivirus tools. I serve as an advisory board member for the Anti-Malware Testing Standards Organization (AMTSO), an international nonprofit group dedicated to coordinating and improving testing of anti-malware solutions.

The Technology I Use

Much of the testing I do, particularly testing with real-world ransomware, is just plain dangerous. To perform such tests safely, I sequester them inside virtual machines managed by VMWare Workstation. For cross-platform testing, I use a MacBook Air, a Google Pixel 4, and a 6th-generation iPad.

I rely on my Delphi coding skills to create and maintain small applications. These include programs to check whether an antivirus correctly handled the malware it detected, launch dangerous URLs and record the security program’s reaction, and analyze the malware that I collect for use in testing. I also wrote a tiny browser and text editor for use in testing security apps that have predefined reactions for known products.

I do my writing and research on a Dell OptiPlex desktop, relying on Microsoft Word (my fingers know all the shortcuts). Many of my articles include charts and analysis; Excel is my go-to for those. When work hours end, though, I escape the bounds of Microsoft and Windows. There’s an iPhone in my pocket, I relax with my oversized iPad, and my Kindle Oasis is always loaded with the best science fiction and fantasy.

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