AI and the Future of Cybersecurity: Why Openness Matters

Huggy with a magnifying glass, against a backdrop with a gradient of black to white. Writing at the bottom in white says Cybersecurity and Openness

Following the announcement of Mythos and Project Glasswing, institutions throughout the world are grappling with the potential dawn of a new era of cybersecurity. In this post, we break down the current situation, discuss the role of openness, and situate the future of cybersecurity within the larger AI ecosystem.



What is Mythos?

Mythos is a “frontier AI model”, a large language model (LLM) that can be used to process software code (among many other things). This follows a general trend in LLM development, where LLM performance on code-related tasks has recently skyrocketed. What’s particularly significant about Mythos is the system it’s embedded within: It’s the system, not the model alone, that has enabled Mythos to rapidly find and patch software vulnerabilities. Understanding this distinction is key to understanding the current landscape of AI cybersecurity.

What Mythos demonstrates is that the following system recipe

 

 

 

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