Discover Neatsun Ziv's journey from Vanadium to Ox Security, lessons learned and applied, the importance of threat modeling in software supply chain security, challenges in establishing go-to market strategies, creating a comprehensive threat map with Oscar, understanding context for software security, and evolving risks in AI models.

Explore Bruce Schneier's insights on AI's impact on cybersecurity, society's role in guiding AI innovation, and reflections on his guidelines. Dive into his career evolution, freelance writing challenges, and the importance of decentralized technologies. Learn about promoting collaborative ethical AI development and the need for government oversight in regulating technology.

Tom: CEO and Founder of NetRise, identifying vulnerabilities in firmware through building SBOMs Ex-VP at Blackberry after the Cylance acquisition Previously worked as a cyber analyst at the US Strategic Petroleum Reserve where he first learned about the gaps in IoT security solutions Check out the episode for our discussion on software vs. firmware SBOMs, whether tools are valuable if there are no clear remediation steps, and how IoT is addressed differently than other device types. https://www.netrise.io/

Discussing the evolution of AI in cybersecurity, the challenges faced by security operations teams, and the importance of balancing automation with human oversight. Explore the impact of rule specificity on false positive rates and the significance of business context in investigations. Learn about Salem Cyber's platform and the strategies for company growth and team building.

Mike: CEO and co-founder at Dark Sky Technologies, building a suite of products to address open source insecurity Previously VP of Product at Arxan and Microsemi Previously Senior Director of Business Development at Cryptography Research Inc Previously VP of Marketing at Star Lab Combined two decades of experience in cybersecurity! Check out the episode for our discussion on gaining exposure across a variety of business units, supplementing software composition analysis (SCA) with additional context around package trust, and automating the translation of code into more secure languages. darkskytechnology.com

Gal: CTO and co-founder at Oligo, providing a runtime solution for software supply chain security Worked at Checkpoint for 7 years Started his security journey in the IDF Met his co-founders as a child, and they conspired to start a company together for decades before launching Oligo! Check out the episode for our discussion of his hack of instagram, how Oligo gets creative with reaching inundated CISOs, and how AI has changed the software supply chain landscape. https://www.oligo.security/

Maxime: CEO and founder at LimaCharlie, middleware for cybersecurity application integration for incident response Previously worked for Google, Crowdstrike, and Canada's department of defense Check out the episode for our discussion on the challenges of building your own security workflows, automation adoption journeys, and how the larger cybersecurity automation world is evolving. https://limacharlie.io/

Explore the evolution of cybersecurity practices with Ganesh Krishnan, CEO of Anzenna. Learn about the challenges in securing funding for cybersecurity startups and empowering employees with contextual cybersecurity training. Discover insights on integrating products within a cloud-first organization and customizing workflows for cyber workforce development.

Aakash Shah, CTO of Oak9, discusses the importance of security architecture and secure cloud infrastructure. He emphasizes integrating security early in the design process to manage risks and improve customer experience. The podcast also delves into trends in infrastructure as code, tailored security configurations for clients, and open-source security code frameworks.

Explore real-world attacks on machine learning models, AI security capabilities, and market demand for security tooling with Chris Sestito. Learn about HiddenLayer's journey, monitoring machine learning for security, and tools for defending against threats in ML/AI systems.