What Is Mythos? The AI That Found a 27-Year-Old Vulnerability

Mythos is Anthropic's experimental AI-powered vulnerability research system. In testing, it identified a 27-year-old OpenBSD vulnerability and developed a working exploit with minimal human involvement.

It gained attention after Anthropic reported that Mythos uncovered a 27-year-old vulnerability in OpenBSD and generated a working exploit during testing. More broadly, Mythos has been presented as evidence that advanced AI systems can perform vulnerability research at a scale and speed that will significantly change both defensive and offensive cybersecurity.

In this episode of Open Source Open Mic, we break down what this means, how it works, and why it matters far beyond a single bug. As AI gets better at finding vulnerabilities, the window between discovery and exploitation keeps shrinking. Security teams aren't just dealing with more code anymore. They're dealing with machine-speed software risk.

If AI can find vulnerabilities faster, how do developers keep shipping with confidence?

Transcript

0:03: It can find software vulnerabilities that have survived years of human review, and it's so powerful that access is being tightly controlled.

0:12: Today we're unpacking Mythos, the AI model that's forcing the cybersecurity industry to rethink what's possible.

0:19: Let's break …

0:26: This is Open Source Open Mic, the podcast where we talk about everything happening in the world of open source security.

0:32: So pull up a chair, it's time for an open conversation.

0:37: Hello everyone and welcome to another episode of Open Source Open Mic.

0:41: My name is Andrew Garrett, and I work in product marketing here at Sonotype.

0:46: I'm pleased to be joined today by Ilka Turinen, and Ilka is the field CTO here at Sonotype.

1:00-1:05: It's the afternoon for him, it's the morning for me here in Utah, but we're gonna have a great conversation today.

1:55: Awesome, well, it's great to have you here, Ilka, and our topic today is gonna be all around mythos.

2:02: Can you give us a quick background on Mythos, what it is and, and why we keep hearing about it?

2:21: I mean, let's start with the very, very basics.

2:25: Mythos, which is by the way, a Greek derived word, is the next version of the anthropic cloud foundation model.

3:04: They’ve released a private beta of it to select organizations and during testing, the mythos model has shown remarkable capabilities in code production.

3:21: It’s particularly effective at reasoning, especially in cybersecurity.

4:56: For example, it discovered a 27-year-old vulnerability in OpenBSD and built a working exploit from that.

5:12-6:50: With the hype around Mythos, it’s clear that AI is evolving rapidly and that creates a significant advantage for attackers. The model is anticipated to discover vulnerabilities faster than before.

11:31: There’s going to be more security vulnerabilities and disclosures, and organizations will need to adapt their defenses accordingly.

12:41: The NVD announced they are reducing their scope of processing security vulnerabilities, causing a fragmented source of truth for organizations.

14:02: Continuous monitoring is critical to staying ahead of vulnerabilities in the software supply chain.

15:06: Organizations should focus on centralization, maintain accurate inventories of dependencies, and implement continuous monitoring practices.

17:32: A fire drill can identify fundamental questions relating to security coverage, responsibility, and incident response.

19:10: The lessons learned over the years have established foundational controls essential for handling new vulnerabilities.

25:08: The speed of activities is going to speed up. Companies need to ask fundamental questions now about how to deal with ongoing vulnerabilities effectively.

26:13: Working with specialists will make the process of adapting to AI-driven vulnerability discovery faster.

Mythos FAQs

1. What is Mythos?
   Mythos is Anthropic's next-generation AI model designed to analyze source code and identify software vulnerabilities.

2. Why is Mythos important to cybersecurity?
   Mythos represents a major leap in AI-powered vulnerability discovery and can raise concerns about attackers using similar capabilities.

3. How does Mythos find software vulnerabilities?
   Mythos uses advanced reasoning and code analysis capabilities to uncover potential attack paths and security weaknesses.

4. Will Mythos replace human security researchers?
   No, human expertise remains critical for understanding and addressing vulnerabilities.

5. What are SBOMs and why do they matter?
   A Software Bill of Materials (SBOM) aids organizations in identifying if they are affected by vulnerabilities.

6. How can organizations prepare for AI-driven vulnerability discovery?
   They should strengthen supply chain security practices and maintain accurate inventories of dependencies.