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Cyber Sentries: AI Insight to Cloud Security

Podcast Cyber Sentries: AI Insight to Cloud Security
TruStory FM
Dive deep into AI's accelerating role in securing cloud environments to protect applications and data. In each episode, we showcase its potential to transform o...

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  • Play, Grow, Land: The Strategic Path to Enterprise AI with Jim Wilt
    Navigating AI Adoption: From Exploration to ImplementationIn this illuminating episode of Cyber Sentries, John Richards sits down with Jim Wilt, distinguished chief architect at Weave and veteran security practitioner. With decades of experience in emerging technologies since the mainframe era, Jim brings unique insights into how organizations can successfully integrate AI while maintaining robust security practices.The conversation delves deep into a three-phase approach for AI adoption: learning, growing, and landing. Jim emphasizes the importance of experimentation before commitment, challenging the common rush to define use cases before understanding the technology's capabilities. He shares practical examples of how organizations can progress from internal testing to external deployment, while maintaining security at each stage. The discussion explores how AI isn't about replacement but enhancement - whether for individual roles or organizational processes - and why adaptability in implementation is crucial for success.Questions we answer in this episode:How should organizations approach their initial AI adoption?What's the optimal timeline for moving from experimentation to implementation?When and how should security measures be integrated into AI initiatives?Key Takeaways:"Replaceable architecture" is becoming more critical than "reusable architecture" in the AI eraOrganizations need 9-18 months of internal testing before external AI deploymentSecurity measures should scale up gradually, from minimal during learning to comprehensive in productionThis episode provides invaluable guidance for any organization navigating AI adoption. Jim's practical, experience-based insights cut through the hype, offering a clear roadmap for sustainable AI integration while maintaining security integrity. Whether you're just starting your AI journey or looking to refine your existing approach, this discussion offers actionable strategies for success.Links & Notes‘What Air Canada Lost In ‘Remarkable’ Lying AI Chatbot Case’CIO.com: From risk to reward: Mastering the art of adopting emerging technologiesGenerative AI (GenAI) – A PrimerGenAI and the Human ExperienceReplaceable is the New ReusableApplied AIConnect with Jim on LinkedInLearn more about Paladin CloudGot a question? Ask us here! (00:04) - Welcome to Cyber Sentries (00:55) - Meet Jim Wilt (01:46) - Jim’s Background (03:59) - Where to Start (13:28) - Public vs. Private Models (17:52) - Time in Growth Period (18:48) - Use Cases (21:57) - Transitioning to External Use (29:06) - Scaling from Personal to Organizational (31:52) - Safeguarding (37:21) - Flexibility (38:34) - Wrap Up
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  • AI's Identity Revolution: Securing Disconnected Apps and Eliminating Human Error with Bel Lepe
    Bel Lepe Reveals How AI Reduces Security Risks By Removing the Human ElementIn this episode of Cyber Sentries, host John Richards is joined by Bel Lepe, Co-founder and CEO of Cerby, to explore how removing the human factor through automation can dramatically decrease an organization's attack surface. John and Bel dive into the transformative potential of AI in identity and access management, especially for applications that don't support modern security protocols.Bel shares his insights on the current state of identity security and how Cerby is tackling the challenge of securing disconnected apps at scale. He explains how generative AI enables Cerby to build and maintain integrations for thousands of apps without relying on standards. The discussion also touches on emerging trends in identity, including the fragmentation of identity across multiple platforms and the growing threat of AI-powered impersonation attacks.Questions we answer in this episode:How can AI reduce security risks by removing the human element?What are the key challenges in securing apps that don't support modern identity protocols?How will the rise of AI shape the future of identity security?Key Takeaways:The majority of security incidents are caused by human errorAI allows custom integrations to be built at scale without relying on standardsMulti-factor authentication is crucial for protecting against emerging threatsWhether you're a security professional looking to stay ahead of the curve or a business leader seeking to understand the impact of AI on your organization's security posture, this episode is packed with valuable insights. Tune in to learn how AI is revolutionizing identity and access management and what you can do to safeguard your organization in the face of evolving threats.Links & NotesLearn more about CerbyLearn more about Paladin CloudGot a question? Ask us here! (00:00) - Welcome to Cyber Sentries (01:03) - Meet Bel Lepe (02:42) - Validating the Problem (04:07) - The Problem (06:32) - Their Approach (08:24) - Scaling (10:38) - Looking to the Future (15:32) - The Future of Identity (22:25) - Building Better Awareness (23:46) - Wrap Up
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  • The Adaptive CISO: Digital Defense Evolution with Timothy Youngblood
    Securing the Digital Future with Former Fortune 500 CISO Tim YoungbloodJohn Richards welcomes Timothy Youngblood, a four-time Fortune 500 CISO and current CISO in Residence at Astrix Security, to discuss the evolving landscape of cybersecurity leadership. With experience at Dell, Kimberly Clark, McDonald's, and T-Mobile, Tim brings unique insights into how security leadership must adapt to emerging threats while maintaining operational effectiveness.The conversation explores Tim's journey from Dell's first CISO to handling security across diverse industries. John and Tim delve into fascinating security incidents, including a notable McFlurry API DDoS attack at McDonald's, demonstrating how modern security challenges can emerge from unexpected places. The discussion shifts to the critical topic of non-human identity attacks and the growing importance of managing machine identities in cloud environments. Tim shares his perspective on how AI is reshaping security practices and why education remains fundamental to effective security programs.Questions we answer in this episode:How do companies integrate security during acquisitions and mergers?What unique challenges do global companies face in cybersecurity?How should organizations approach non-human identity security?Key Takeaways:Security leadership requires strong business acumen alongside technical expertiseEducation and culture-building are crucial for successful security programsThe scale of non-human identities poses a major security blind spot for many organizationsThis episode offers invaluable insights for security professionals navigating complex organizational challenges while adapting to emerging threats. Whether you're a seasoned CISO or aspiring security leader, Tim's practical experiences and strategic approaches provide actionable wisdom for building robust security programs in any environment.Links & NotesSecuring Non-human IdentitiesFind Tim on LinkedInLearn more about Paladin CloudGot a question? Ask us here! (00:04) - Welcome to Cyber Sentries (01:12) - Meet Tim Youngblood (08:07) - Challenges (11:03) - Change Management (11:37) - Transitioning to Next Role (16:21) - McDonald’s (19:57) - Flexibility (21:50) - Handling New Challenges (26:11) - Non-Human Identity Attacks (33:55) - Wrap Up
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  • Open Source AI Unleashed: Transparency, Sovereignty, and Data Control with JJ Asghar
    Open Source AI: Transparency, Sovereignty, and Who Controls the DataIn this episode of Cyber Sentries, host John Richards is joined by JJ Asghar, an Open Source Champion and Developer Advocate at IBM. They explore the importance of open source in the AI world, how transparency can allow for AI sovereignty, and why we should care about who controls the data.JJ shares his journey into the AI space at IBM and his strong opinions formed from working on open source AI projects. The discussion delves into the differences between mainstream closed-source AI models and the emerging open-source alternatives, highlighting the privacy and trust aspects that are becoming increasingly important, especially outside the United States.Questions we answer in this episode:How does open source fit into the recent surge of AI?What are the benefits of open-source AI models compared to closed-source ones?Why is AI sovereignty important, and how does it relate to open source?The conversation covers the challenges of building and running AI models, the compute resources required, and how open-source approaches can provide more transparency and control. JJ explains the concept of AI sovereignty, where countries and organizations want to run AI within their borders and under their own rules and restrictions. This brings up issues of hardware accessibility and the lifecycle of AI models.Key Takeaways:Open-source AI allows for greater transparency and trust compared to closed-source modelsAI sovereignty is becoming increasingly important for countries with strict privacy lawsThe lifecycle of AI involves training, fine-tuning, and inferencing, each with different compute requirementsWhile open source offers many benefits, the discussion also touches on the challenges, such as the potential for model poisoning and the current lack of genealogy in AI models. Despite these hurdles, open source remains a powerful force in the AI world, with the potential to provide more eyes on the code and faster problem resolution.This episode offers valuable insights into the complex world of AI, the role of open source, and the importance of data control and transparency. Whether you're a developer, a security professional, or simply interested in the future of AI, this conversation provides a thought-provoking look at the challenges and opportunities ahead.Links & NotesIBM's open source foundational model GraniteGranite Foundation Models PaperHugging FaceIBM's coding assistance projectInstructLabCrew AIAI Sovereignty PaperLearn more about Paladin CloudGot a question? Ask us here! (00:04) - Welcome to Cyber Sentries (00:55) - Meet JJ Asghar (03:17) - Working with AI (04:29) - AI and Open Source (10:31) - Approach (14:38) - Sovereignty (18:20) - Inferencing (20:47) - Black Box Situation (30:10) - Weighing the Differences (35:09) - Timeline (40:39) - Finding JJ (42:06) - Communities (44:49) - Wrap Up
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  • Demystifying Zero Trust: Key Policy Checks for Cloud Native Security with Zack Butcher
    Decoding Zero Trust Security for Cloud Native EnvironmentsIn this episode of Cyber Sentries, John Richards welcomes Zack Butcher, Founding Engineer at Tetrate, to explore the critical components of zero trust security for cloud native and microservice environments. Zack, with deep expertise from his time at Google and work with NIST, shares practical insights on achieving a zero trust posture.John and Zack dive into the fundamental mindset shift required for zero trust - moving from implicit to explicit trust. They break down the five key policy checks that define runtime zero trust, and how these controls can enable identity-based segmentation. Zack illuminates how this approach allows organizations to boost assurance while strategically relaxing painful network-level constraints.Questions we answer in this episode:• What does Zero Trust really mean in practice?• How can organizations adopt a Zero Trust mindset?• What role does a service mesh play in Zero Trust?Key Takeaways:• Zero Trust requires making all trust explicit• 5 key runtime policy checks define a Zero Trust posture• Identity-based policies boost assurance and agilityWhether you're wrestling with Zero Trust definitions, microservice security, or cloud native challenges, this episode delivers a wealth of battle-tested wisdom. Zack's clear explanations and examples, combined with John's knack for extracting practical takeaways, make this a must-listen for anyone navigating the complex world of cloud native security.Links & NotesZack on LinkedInSecurity Strategies for Microservices-based Application Systems (Sidebar has the A-D publications)A Zero Trust Architecture Model for Access Control in Cloud-Native Applications in Multi-Cloud EnvironmentsTetrate AcademyLearn more about Paladin CloudGot a question? Ask us here! (00:04) - Welcome to Cyber Sentries (01:01) - Meet Zack (04:55) - Reflecting on the Journey (05:46) - Deep on Security Aspect (09:52) - Zero Trust and Definitions (15:35) - Consensus (18:09) - Availability and Assurance (22:28) - Driving Growth (25:44) - How AI Can Be Used for Security (30:07) - Links and Finding Zack (30:36) - Wrap Up
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About Cyber Sentries: AI Insight to Cloud Security

Dive deep into AI's accelerating role in securing cloud environments to protect applications and data. In each episode, we showcase its potential to transform our approach to security in the face of an increasingly complex threat landscape. Tune in as we illuminate the complexities at the intersection of AI and security, a space where innovation meets continuous vigilance.
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