Travis Lanham, Uber Tech Lead for Security Operations Engineering at Google Cloud, dives deep into the future of SIEM-like products. He discusses the concept of disassembled SIEMs and their potential advantages, like separating security capabilities from data backends. Lanham reflects on the early days of SecOps and shares why a tightly coupled approach was preferred. He examines the complexities of decentralized systems and their implications. The conversation also touches on innovations driving decoupled SIEMs and insights into security data lakes.

Vijay Ganti, Director of Product Management at Google Cloud Security, dives into the world of threat intelligence and AI-driven security. He addresses the challenges organizations face in utilizing threat intelligence effectively, highlighting the need for better integration. Vijay discusses the revolutionary impact of AI on threat detection and the crucial balance between human expertise and automation. The conversation also emphasizes the importance of staying updated with AI research to enhance understanding and application in the field.

Michele Chubirka, a Cloud Security Advocate at Google Cloud with a rich background in finance and academia, delves into the security dynamics between containers and virtual machines. She discusses the implications of attack surfaces, patch speed, and the complexities of misconfigurations in orchestrators. Michele shares strategies for organizations to effectively balance the strengths and vulnerabilities of both technologies. With insights on the future interplay of containers, VMs, and WebAssembly, she inspires a proactive approach to evolving security challenges.

Daniel Shechter, Co-founder and CEO at Miggo Security, dives into the world of Application Detection and Response (ADR), highlighting its essential role in addressing today's complex cloud application threats. He explains how ADR differs from traditional EDR and CDR tools, emphasizing the need for contextual insights that improve security monitoring. Shechter also tackles the challenges of automation and collaboration in application security, offering real-world examples of ADR in action. Discover how ADR enhances visibility and efficiency for security teams facing evolving vulnerabilities.

Taylor Lehmann, Director at the Office of the CISO, and Luis Urena, Cloud Security Architect at Google Cloud, tackle the complexities of securing inherited cloud environments. They discuss the risks of late security team involvement and the impracticality of drastic measures like 'nuking' the environment. Instead, they offer strategic steps for immediate security improvements, such as managing overly permissive roles. They also evaluate the necessity of compromise assessments and the balance between current priorities and securing new systems.

Guest: Nelly Porter, Director of PM, Cloud Security at Google Cloud Topics: Share your story and how you ended here doing confidential AI at Google? What problem does confidential compute + AI solve and for what clients? What are some specific real-world applications or use cases where you see the combination of AI and confidential computing making the most significant impact? What about AI in confidential vs AI on prem? Should those people just do on-prem AI instead? Which parts of the AI lifecycle need to be run in Confidential AI: Training? Data curation? Operational workloads?  What are the performance (and thus cost) implications of running AI workloads in a confidential computing environment?  Are there new risks that arise out of confidential AI? Resources: Video EP48 Confidentially Speaking 2: Cloudful of Secrets EP1 Confidentially Speaking “To securely build AI on Google Cloud, follow these best practices“ blog (paper)

Dan Nutting, a manager in Cyber Defense at Google Cloud, shares his insights on the concept of the Defender's Advantage. He discusses why many defenders struggle to realize this advantage and emphasizes the importance of being intelligence-led in cyber defense. Nutting explains the continuous cycle of detection engineering and how organizations can maintain effective detection capabilities. He also introduces the intriguing idea of 'Mission Control' for proactive security management, enhancing collaboration among teams to tackle threats.

Josh Liburdi, a Staff Security Engineer at Brex, dives deep into the concept of security data fabric and its transformative impact on security data management. He explains how this innovative technology shifts organizations from outdated syslog methods to modern data pipelines, improving log quality for threat detection. Josh discusses the importance of vendor selection and balancing costs with security needs, alongside the potential future of decoupled Security Information Management systems and the integration of open-source solutions.

Royal Hansen, the CISO of Alphabet, dives deep into Google's unique security culture and infrastructure. He discusses the challenges and advantages of operating at massive scale, highlighting the need for proactive security by design. Hansen shares insights on scaling teams effectively, utilizing AI for threat detection, and cultivating a resilient security environment. He also reflects on surprising aspects of Google's internal culture that could benefit the broader industry, emphasizing the importance of discipline and system design.

In a compelling discussion with Dor Fledel, founder and CEO of Spera Security, he dives into the nuanced role of identity in cloud security. He explains the challenges of identity management, addressing concepts like 'identity management debt.' Fledel shares advice on how organizations can navigate this debt while stressing the importance of monitoring user identities, service accounts, and API keys. He also offers insights for founders transitioning from startup to acquisition, emphasizing the need for focus and repeatability in security practices.