# Beyond patching: Building a Mythos-ready security program

DevFeed: [Beyond patching: Building a Mythos-ready security program](<https://devfeed.tech/articles/beyond-patching-building-a-mythos-ready-security-program-1905.md>)

Original publisher: [Read original article](<https://1password.com/blog/beyond-patching-building-a-mythos-ready-security-program>)

Author: info@1password.com (Dave Lewis)

Published: 2026-04-16T00:00:00Z

Content type: opinion

Language: en

Sources: [Blog on 1Password Blog](<https://devfeed.tech/sources/blog-on-1password-blog.md>)

Topics: [Vulnerabilities](<https://devfeed.tech/topics/vulnerabilities.md>), [AI Bots](<https://devfeed.tech/topics/ai-bots.md>), [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-security](<https://devfeed.tech/tags/ai-security.md>), [attacks](<https://devfeed.tech/tags/attacks.md>), [llms](<https://devfeed.tech/tags/llms.md>), [security](<https://devfeed.tech/tags/security.md>), [vulnerabilities](<https://devfeed.tech/tags/vulnerabilities.md>)

## AI overview

The article argues that security leaders should prepare for AI systems that can find vulnerabilities and create exploits at machine speed. It highlights a proposed Mythos-ready security program centered on AI-assisted defenses, faster vulnerability operations, hardened controls, revised risk models, and industry coordination.

## Source excerpt

When Anthropic revealed the existence of Mythos, the frontier AI model they deemed too dangerous for public release, the security community was alarmed. And it's not hard to see why: Mythos is capable of detecting software vulnerabilities at a previously unimaginable scale, and autonomously crafting exploits to weaponize these flaws. According to Anthropic, Mythos created 181 exploits of Firefox in testing, ninety times more than the company's previous model (Claude Opus 4.6). The security world is facing down the prospect that soon, hordes of agents will turn the systems they rely on into Swiss cheese. But while concern is an appropriate reaction to this coming storm of vulnerabilities, panic is not. Instead, security and business leaders need to treat the next few months (which are likely all we'll get before a Mythos-level model is widely available) as a precious gift: time to batten the hatches and prepare not just for a temporary crisis, but a permanently altered paradigm. If there's a silver lining to this storm cloud, it's that it's bringing the security community together to build collective solutions. As part of that effort, I was proud to contribute to The "AI Vulnerability Storm": Building a "Mythos-ready" Security Program, a paper developed by Gadi Evron and Rich Mogull at the Cloud Security Alliance (CSA), CISO community, [un]prompted, SANS, the OWASP Gen AI Security Project, and a broad coalition of industry leaders. This paper offers a roadmap for security leaders to make the most impactful changes at their organizations and work toward "Mythos-ready" resilience. Their recommendations combine AI-driven defensive capabilities, accelerated vulnerability operations, hardened core controls, updated risk models, and stronger cross-industry coordination to operate at machine speed and withstand continuous waves of AI-driven attacks. The paper takes a broad look at how security can prepare for this new era of patch management - from how to use LLMs for code