Conor Sherman and Stuart Mitchell dive into the intersection of AI, coding, security, and leadership. They discuss the “September Surge” in hiring, the evolving role of AI in software development, and the critical need for strong security fundamentals as organizations accelerate their adoption of AI technologies. The conversation covers the risks and rewards of AI-driven coding, the responsibilities of security teams, and the importance of leadership and organizational change in navigating this new landscape.Key Topics CoveredThe “back to school” energy in the hiring market and what it means for tech teamsHow AI is shifting from an option to a directive in technology strategyBalancing speed and security: the risks of increased code output from AI assistantsThe fundamentals of security and why they matter more than everThe human element in AI leadership and organizational changeReal-world risks: prompt injection, agentic browsers, and exposed LLM serversAdapting security controls for AI with frameworks like NIST’s COSAISFeatured Links & Resources4x Velocity, 10x Vulnerabilities: AI Coding Assistants Are Shipping More Risks: Read the Apiiro blogSysdig 2025 Cloud-Native Security Report. Read the Sysdig reportCisco: Detecting Exposed LLM Servers (Ollama/Shodan Study). Read the Cisco blogBrave Research: Indirect Prompt Injection in Perplexity Comet: Read the Brave blogNIST CSRC: Control Overlays for Securing AI Systems (COSAIS) – Concept Paper: Read the NIST concept paper

Ver todos los episodios