OpenAI took ten days to tell Hugging Face its models were behind the July 11 weekend hack, report claims
Aikido also published its latest cybersecurity benchmark results on July 16. In this case, the test was having the bots recall (find again) multiple known exploits in a varied set of software. The results were sobering, with the GPT-5.6 variants in the lead at an 88.5% recall rate. Perhaps most importantly still, the price per exploitation was incredibly cheap — even GPT-5.6 Terra came in at only ~$750 per full run.
This study also revealed that even with less-powerful, cheaper models, you can reach the same number of total exploits if you run them enough times. Considering these aggregate results, GPT-5.6 Terra at $247/run was just as good as GPT-5.6 Sol Max at $870/run.
Aikido also redid its testing after the debut of Moonshot Kimi K3 , to staggering results. Kimi K3's results were similar to OpenAI's GPT 5.6 Terra, while being 15% cheaper. Compared to OpenAI's leading model, GPT-5.6-Sol, the difference is even starker, with Kimi K3 being four times cheaper when discovering cybersecurity vulnerabilities.
The fact that an open-weight model is often trading blows with even the über-expensive offerings from OpenAI and Anthropic is rattling Western closed-source companies. Why pay Big AI for pricey models when you can just rent servers and run Kimi K3 instead?
Furthermore, Moonshot is not the only Chinese AI company developing frontier models, as Z.ai's GLM 5.2 (also an open-weight model) and 360 Security's Tulongfeng are reportedly adept at security workloads.
So, what are companies expected to do? The answer, perhaps unfortunately, is deploying AI agents of their own. According to Hugging Face, the recent intrusion by OpenAI's bots was stopped with its own fleet of AI agents. Given the speed of the attacks and the fact that HuggingFace's defenses were mostly made up of other AI agents, it's quickly becoming clear that it is infeasible for humans to keep up.
Google AI Threat Defense, MindGard, and HiddenLayer are but a few of the many names popping up in the AI cyberdefense arena. Besides the UK AISI, the European Systemic Risk Board and the Australian Cyber Security Center have both issued concerning advisories on the situation.
Using AI for defense raises yet another question: When both attack and defense are swarms of non-deterministic algorithms, there will be a point where we won't even know what the AI models are doing on either side, or at least not until it's too late. These scenarios were originally envisioned by classic Sci-Fi authors — now it's a reality that, for better or worse, the cybersecurity industry must face.
Bruno Ferreira is a contributing writer for Tom's Hardware. He has decades of experience with PC hardware and assorted sundries, alongside a career as a developer. He's obsessed with detail and has a tendency to ramble on the topics he loves. When not doing that, he's usually playing games, or at live music shows and festivals. ","collapsible":{"enabled":true,"maxHeight":250,"readMoreText":"Read more","readLessText":"Read less"}}), "https://slice.vanilla.futurecdn.net/13-4-25/js/authorBio.js"); } else { console.error('%c FTE ','background: #9306F9; color: #ffffff','no lazy slice hydration function available'); } Bruno Ferreira Social Links Navigation Contributor Bruno Ferreira is a contributing writer for Tom's Hardware. He has decades of experience with PC hardware and assorted sundries, alongside a career as a developer. He's obsessed with detail and has a tendency to ramble on the topics he loves. When not doing that, he's usually playing games, or at live music shows and festivals.
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