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ANALYSIS
CLAUDE MYTHOS WAKE-UP CALL:
WHAT AI VULNERABILITY DISCOVERY MEANS FOR CYBERDEFENCE
As AI capabilities rapidly advance, security leaders must prepare for faster, more scalable cyberattacks as AI-driven tools reshape how vulnerabilities are discovered and exploited. Jonathan Zanger, CTO of Check Point Software Technologies, tells us why the rise of AI-driven attack capabilities is accelerating the democratisation and industrialisation of cyberattacks, and why organisations must urgently reassess their security posture to stay resilient.
Late last month, the industry learned that Anthropic was developing Claude Capybara, also called Mythos, a powerful new AI model with substantially improved capabilities in vulnerability discovery, exploit development and multi-step attack reasoning. While the details emerged through a data leak rather than a formal launch, the market response was unmistakable.
AI has crossed a critical cybersecurity threshold. The frontier models are accelerating attack lifecycles and will enable attackers to identify and exploit vulnerabilities at scale, speed and through novel methods that previously were the domain of advanced nation-state entities.
For security leaders, this development is both a warning and a call to action. It crystallises a trend we’ ve been closely monitoring and preparing for: the democratisation and industrialisation of cyberattacks.
Two structural shifts redefining cyber-risk
Claude Mythos is the early signal of two profound shifts in the threat landscape:
1. Democratisation of advanced attack capabilities Capabilities that once required elite threat actors or well-funded nation-state teams will be accessible to low-skill actors leveraging AI assistance. We must assume adversaries will wield these capabilities. The paths are already clear: abuse frontier models directly, as threat actors did with Claude Code in September, or wait for the same capabilities to land in open-source, unmonitored models like DeepSeek, where no usage policies or safety layers stand in the way. This fundamentally lowers the barrier to entry for sophisticated attacks. Organisations that once considered themselves‘ safe’ because they weren’ t targets of advanced nation-state activity are now at risk from newly capable criminal groups armed with AI-powered tools.
2. Industrialisation of cyberattacks With the expected advancement in Agentic AI capabilities, threat actors will be able to scan legacy and SaaS technologies at unprecedented frequency and scale. This will lead to a near continuous flow of novel attack methods that target enterprise systems, networks and employees. AI enables threat actors to transition from manual, artisanal operations to repeatable, automated attack pipelines.
AI has crossed a critical cybersecurity threshold.
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