Risky Business Soap Box: Why AI can't fix bad security products
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Aug 1, 2025 Josh Kamdjou, CEO of Sublime Security, dives into the intricate world of AI in cybersecurity. He candidly discusses how AI can enhance security while also acknowledging its limitations. The conversation highlights the critical balance between AI and human oversight, emphasizing that no AI can compensate for poor product design. They explore the challenges and innovations in email security, including the evolution of real-time detection systems and the complexities of automating incident responses, complete with humorous anecdotes about AI mishaps.
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AI Use Cases in Security
- AI and large language models (LLMs) can sensibly augment or automate many security workflows.
- They have limits but overall provide useful efficiency gains in the security industry.
LLMs Replace Scripting Needs
- LLMs eliminate the need for users to learn complex scripting languages in SIEMs.
- They generate detection logic automatically, simplifying security operational tasks.
AI-Powered Threat Landscape
- Adversaries increasingly use generative AI to automate and customize attacks like spear phishing.
- Security systems must rapidly adapt to the evolving, automated, and mass-targeted threat landscape.