Introduction Advances in AI model-powered exploitation have demonstrated that general-purpose AI models can excel at vulnerability discovery, even without being purpose-built for the task. Eventually, capabilities such as these will be integrated directly into the development cycle, and code will be more difficult to exploit than ever; however, this transition creates a critical window of risk. As we harden existing software with AI, threat actors will use it to discover and exploit novel vulner
Introduction Advances in AI model-powered exploitation have demonstrated that general-purpose AI models can excel at vulnerability discovery, even without being purpose-built for the task. Eventually, capabilities such as these will be integrated directly into the development cycle, and code will be more difficult to exploit than ever; however, this transition creates a critical window of risk. As we harden existing software with AI, threat actors will use it to discover and exploit novel vulnerabilities. Faced with this scenario, defenders have two critical tasks: hardening the software we use as rapidly as possible, and preparing to defend systems that have not yet been hardened. As noted in Wiz’s blog post, Claude Mythos: Preparing for a World Where AI Finds and Exploits Vulnerabilities Faster Than Ever , now is the time to strengthen playbooks, reduce exposure, and incorporate AI into security programs. The following blog provides an overview of the evolving attack lifecycle, how threat actors will weaponize these capabilities, and a roadmap for modernizing enterprise defensive strategies . aside_block <ListValue: [StructValue([('title', 'Webinar: Defending Your Enterprise When AI Models Can Find Vulnerabilities Faster Than Ever'), ('body', <wagtail.rich_text.RichText object at 0x7f5b6df8b040>), ('btn_text', 'Register now'), ('href', 'https://www.brighttalk.com/webcast/18282/666651?utm_source=gcs-blog&utm_medium=blog&utm_campaign=mythos'), ('image', None)])]> Exploits in the Adversary Lifecycle Historically, the discovery of novel vulnerabilities and the subsequent development of zero-day exploits required significant time, specialized human expertise, and resources. Today, highly capable AI models are increasingly demonstrating the ability to not only identify vulnerabilities but also help generate functional exploits, lowering the barrier to entry for threat act