Neo v. DIY: The gap between a single finding and a mature security program

This article discusses the limitations of using Large Language Models (LLMs) like Claude Code for vulnerability discovery compared to mature security programs. It highlights a webinar by Davis Franklin regarding the product Neo, designed to bridge the gap between simple Proof of Concept (PoC) creation and comprehensive security management. While users can quickly identify vulnerabilities using AI tools such as Opus 4.6 and Mythos, the text emphasizes that sustainable security requires more than isolated findings. There are no specific threat actors, malware families, or active campaigns identified within this content. Consequently, there is no immediate impact on organizational security posture from external adversaries described here. Mitigation strategies focus on adopting mature security programs rather than relying solely on DIY AI-driven vulnerability scanning. This content serves as product marketing rather than actionable threat intelligence regarding specific cyber threats or adversarial tactics currently targeting enterprises globally.

In our latest webinar, our Founding Solutions Engineer, Davis Franklin, addressed the massive gap between finding a vulnerability with an LLM and running a mature security program. That gap is what Neo is built to close. With the release of Opus 4.6 and the announcement of Mythos, the question we hear constantly has gotten louder: Can I just build this with Claude Code? The short answer is yes. You can spin up a working PoC in about half an hour, find a real vulnerability, and feel genuinely co

This article discusses the limitations of using Large Language Models (LLMs) like Claude Code for vulnerability discovery compared to mature security programs. It highlights a webinar by Davis Franklin regarding the product Neo, designed to bridge the gap between simple Proof of Concept (PoC) creation and comprehensive security management. While users can quickly identify vulnerabilities using AI tools such as Opus 4.6 and Mythos, the text emphasizes that sustainable security requires more than isolated findings. There are no specific threat actors, malware families, or active campaigns identified within this content. Consequently, there is no immediate impact on organizational security posture from external adversaries described here. Mitigation strategies focus on adopting mature security programs rather than relying solely on DIY AI-driven vulnerability scanning. This content serves as product marketing rather than actionable threat intelligence regarding specific cyber threats or adversarial tactics currently targeting enterprises globally. In our latest webinar, our Founding Solutions Engineer, Davis Franklin, addressed the massive gap between finding a vulnerability with an LLM and running a mature security program. That gap is what Neo is built to close. With the release of Opus 4.6 and the announcement of Mythos, the question we hear constantly has gotten louder: Can I just build this with Claude Code? The short answer is yes. You can spin up a working PoC in about half an hour, find a real vulnerability, and feel genuinely co In our latest webinar, our Founding Solutions Engineer, Davis Franklin, addressed the massive gap between finding a vulnerability with an LLM and running a mature security program. That gap is what Neo is built to close. With the release of Opus 4.6 and the announcement of Mythos, the question we hear constantly has gotten louder: Can I just build this with Claude Code? The short answer is yes. You can spin up a working PoC in about half an hour, find a real vulnerability, and feel genuinely co