OpenAI is reportedly considering a similar plan for its next cybersecurity tool. The ostensible idea is to let these big enterprises get ahead of bad actors who could leverage advanced LLMs to penetrate secure software.

But the “e-word” in the sentence above is a hint that there might be more to this release strategy than cybersecurity — or the hyping of model capabilities.

Dan Lahav, the CEO of the AI cybersecurity lab Irregular, told TechCrunch in March, before the release of Mythos, that while the discovery of vulnerabilities by AI tools matters, the specific value of any weakness to an attacker depends on many factors, including how they can be used in combination.

“The question I always have in my mind,” Lahav said, “is did they find something that is exploitable in a very meaningful way, whether individually or as part of a chain?”