Insights from recent episode analysis
Audience Interest
Podcast Focus
Publishing Consistency
Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Total monthly reach
Estimated from 1 chart position in 1 market.
By chart position
- 🇹🇭TH · Technology#129500 to 3K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
250 to 1.5K🎙 Weekly cadence·29 episodes·Last published 3w ago - Monthly Reach
Unique listeners across all episodes (30 days)
500 to 3K🇹🇭100% - Active Followers
Loyal subscribers who consistently listen
200 to 1.2K
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
—
Total Plays
—
Total Reviews
—
* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 12 epsHost
Recent guests
Recent episodes
Beyond the Token: How to Secure Agent Identity Across the Full Permission Chain with Jasson Casey
Jun 3, 2026
34m 38s
People-Pleasers: Why AI Agents Go Rogue and How to Govern Them at Scale with Shreyans Mehta
May 6, 2026
31m 21s
Five Seconds to Fraud: Detecting AI Deepfakes Before They Strike with Ben Colman
Apr 1, 2026
28m 56s
Built Fast, Broken Faster: MCP & AI App Security—with GitGuardian’s Gaetan Ferry
Mar 4, 2026
38m 44s
Identity in the AI Era: Managing Enterprise Risk in the Age of AI with Jasson Casey
Feb 4, 2026
38m 56s
Social Links & Contact
Official channels & resources
Official Website
Login
RSS Feed
Login
| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 6/3/26 |  Beyond the Token: How to Secure Agent Identity Across the Full Permission Chain with Jasson Casey✨ | cloud securityagent identity+3 | Jasson Casey | — | — | cloud securityagent identity+3 | — | 34m 38s | |
| 5/6/26 |  People-Pleasers: Why AI Agents Go Rogue and How to Govern Them at Scale with Shreyans Mehta✨ | AI governanceautonomous agents+3 | Shreyans Mehta | Cequence | — | AI agentscloud security+3 | — | 31m 21s | |
| 4/1/26 |  Five Seconds to Fraud: Detecting AI Deepfakes Before They Strike with Ben Colman✨ | AI deepfakescybersecurity+3 | Ben Colman | Reality Defender | — | deepfakescybersecurity+5 | — | 28m 56s | |
| 3/4/26 |  Built Fast, Broken Faster: MCP & AI App Security—with GitGuardian’s Gaetan Ferry✨ | AI-driven developmentcloud security+4 | Gaetan Ferry | smithery.aiGitGuardian+1 | — | AI appssecurity landscape+4 | — | 38m 44s | |
| 2/4/26 |  Identity in the AI Era: Managing Enterprise Risk in the Age of AI with Jasson Casey✨ | identity securityAI+3 | Jasson Casey | Beyond Identity | — | identity securityAI tools+3 | — | 38m 56s | |
| 1/14/26 |  Security Data Pipelines: How to Cut SIEM Costs and Noise with Dina Kamal✨ | SIEMcloud security+4 | Dina Kamal | DataBahn | — | SIEMdata onboarding+5 | — | 33m 19s | |
| 12/10/25 |  Securing AI Agents: How to Stop Credential Leaks and Protect Non‑Human Identities with Idan Gour✨ | AI securitynon-human identities+4 | Idan Gour | Astrix SecurityCyberProof | — | AI agentscredential leaks+5 | — | 32m 41s | |
| 11/12/25 |  AI Compliance Security: How Modular Systems Transform Enterprise Risk Management with Richa Kaul✨ | AI complianceenterprise security+4 | Richa Kaul | ComplyanceFortune 100+1 | — | AI complianceenterprise security+5 | — | 31m 00s | |
| 10/8/25 |  AI Governance Essentials: Navigating Security and Compliance in Enterprise AI with Walter Haydock✨ | AI governancesecurity+5 | Walter Haydock | StackAwareMarine Corps+1 | healthcare | AI governancerisk management+5 | — | 31m 05s | |
| 9/10/25 |  Distributed AI Security: How Enterprise Systems Are Evolving for AI Integration with Mark Fussell✨ | AI integrationcloud security+3 | Mark Fussell | Distributed Application RuntimeDiagrid+1 | — | distributed applicationsDAPR+3 | — | 30m 11s | |
Want analysis for the episodes below?Free for Pro Submit a request, we'll have your selected episodes analyzed within an hour. Free, at no cost to you, for Pro users. | |||||||||
| 8/13/25 |  AI Security Architecture: How Data-Centric Models Transform Enterprise Security with Mohit Tiwari✨ | AI securitydata-centric models+4 | Mohit Tiwari | Symmetry SystemsUT Austin+3 | — | AI-powered securitydata security+4 | — | 33m 36s | |
| 7/9/25 |  Biometric Identity Evolution: AI-Powered Authentication Beyond Passwords with Michael Engle✨ | AI in cybersecuritybiometric authentication+3 | Michael Engle | 1Kosmos | — | AIidentity verification+5 | — | 37m 08s | |
| 6/11/25 |  AI-Driven SOC Evolution: Transforming Security Maturity with Doron Davidson | AI's Evolution in Security Operations: From Support to CollaborationDoron Davidson, Managing Director of Security Operations at Cyberproof, joins John Richards to explore how AI is transforming security operations and pushing SOC maturity models into new territory. With extensive experience from telecom security to founding SecBI, Doron brings unique insights into the evolution of managed security services.Rethinking Security Maturity ModelsDoron outlines Cyberproof's innovative approach to service maturity, moving beyond traditional frameworks to incorporate AI capabilities. He describes how they've developed a 1-5 scale measuring people, processes, and technology—with quantifiable 20% year-over-year improvement targets.Questions We Answer:How are security operations teams evolving with AI integration?What does SOC maturity look like in an AI-enabled world?How can organizations measure and verify AI's security impact?What role will agentic AI play in future security operations?Key Takeaways:AI is enabling better collaboration between security servicesAutomated investigation has significantly reduced L1 analyst workloadWell-defined processes and KPIs are crucial for successful AI implementationNew maturity levels (6-8) are emerging focused on agentic AI capabilitiesThe Future of Security OperationsThe conversation explores how Cyberproof is moving beyond traditional AI integration toward agentic models where multiple AI agents collaborate across security functions. This shift enables enhanced threat intelligence sharing, automated investigations, and improved visualization of security metrics for stakeholders.Practical Applications and ImpactFrom automating email attack investigations to improving cross-team collaboration, Doron shares concrete examples of how AI is reducing human error while expanding security capabilities. He emphasizes the importance of maintaining human oversight while leveraging AI's strengths.ResourcesLearn more about CyberproofLearn more about Paladin CloudGot a question? Ask us here! (00:04) - Welcome to Cyber Sentries (00:33) - Today’s Guest: Doron Davidson (01:32) - Doron’s Background (03:27) - Latest Challenges (05:57) - Honesty Mindset (09:16) - Current AI Strategy (12:23) - Focus Areas (19:43) - Shifting Models (25:04) - What He’s Excited About (26:40) - Maturity Model (28:49) - Wrap Up | 31m 34s | ||||||
| 5/14/25 |  Beyond the AI Hype: Real Security Solutions with Sherman Williams | AI, Investment, and Security: A Venture Capitalist's PerspectiveSherman Williams, managing partner at AI and Ventures, joins John Richards to explore the intersection of artificial intelligence, cloud security, and venture capital. As a Naval Academy graduate turned investor, Sherman brings unique insights from both military and commercial technology perspectives. His firm focuses on dual-use technologies - innovations that serve both government and commercial applications - making him particularly well-positioned to discuss AI's evolving role in security.The conversation delves deep into how organizations should approach AI implementation, viewing it as a powerful tool rather than a solution in itself. Sherman shares valuable perspectives on the distinction between AI DevTools and application layer AI, and how entrepreneurs should focus on solving specific problems rather than getting caught up in AI hype. The discussion explores critical considerations around open-source versus closed-source models, particularly in sensitive sectors like government, healthcare, and insurance.Questions we answer in this episode:How should organizations approach AI implementation in their security strategy?What's the difference between AI DevTools and application layer AI?How are security concerns shaping the development of AI solutions?Key Takeaways:AI should be viewed as a tool for efficiency and productivity, not a standalone solutionThe best AI implementations focus on solving specific, acute problemsSecurity considerations are driving innovation in both AI development and deploymentThis episode offers essential insights for anyone interested in the future of AI in security and technology development. Sherman's unique perspective, combining military experience with venture capital expertise, provides valuable context for understanding how AI is reshaping the security landscape while highlighting both opportunities and challenges ahead.Links & NotesAIN VenturesFollow Sherman on LinkedInThe 2017 Google Article MentionedSecurity Company MentionedLearn more about Paladin CloudGot a question? Ask us here! (00:04) - Welcome to Cyber Sentries (00:34) - Sherman Williams (01:02) - Sherman’s Background (05:26) - AI from the Investment Space (08:23) - Dev Tools or Application Layer AI (12:24) - Security (22:46) - Promising Work in Security (33:59) - Wrap Up | 36m 48s | ||||||
| 4/9/25 |  AI's Data Fabric Revolution: Transforming Exposure Management with Daniel Deeney | Transforming Cloud Security Through AI and Data FabricDaniel Deeney, CEO and co-founder of Paladin Cloud, joins John Richards to explore how artificial intelligence is revolutionizing cloud security. With extensive experience as an enterprise software CEO and venture capitalist, Deeney brings unique insights from his successful track record of building and scaling cybersecurity companies. After his previous company's acquisition by VMware in 2019, he launched Paladin Cloud to address the growing challenges of managing security across multiple cloud environments.The episode delves deep into the concept of data fabric and its crucial role in modern cybersecurity. Richards and Deeney discuss how organizations struggle with tool proliferation and data overload in cloud security. They explore how Paladin Cloud's innovative approach uses data fabric to unify risk assessment across various security tools while leveraging generative AI for enhanced threat intelligence. The conversation highlights practical solutions for teams dealing with overwhelming security alerts and the challenge of prioritizing threats effectively.Questions we answer in this episode:How can organizations handle the overwhelming amount of security data from multiple tools?What role does generative AI play in modern cloud security?How can teams better prioritize security risks across different environments?Key Takeaways:Data fabric technology enables unified risk assessment across multiple security toolsAI-powered risk scoring helps teams prioritize threats more effectivelySecurity teams need both technological solutions and services support to manage modern threatsThis episode offers invaluable insights for security professionals, DevOps teams, and technology leaders grappling with cloud security challenges. Whether you're dealing with alert fatigue, struggling to prioritize security risks, or looking to understand how AI can enhance your security operations, this discussion provides practical guidance and strategic perspectives on navigating the complex landscape of modern cloud security.Links & NotesLearn more about Paladin CloudGot a question? Ask us here! (00:00) - Welcome to Cyber Sentries (01:05) - Meet Daniel Deeney (01:25) - Starting Paladin Cloud (02:53) - The Approach (04:54) - Data Fabric Layer (09:39) - Addressing Pain Points (15:54) - Bringing Data Together and Normalizing (18:52) - Users (20:37) - Other Models (26:02) - Prioritization (29:19) - Customer Service (31:16) - Wrap Up | 33m 34s | ||||||
| 2/12/25 |  On-Prem AI Uprising: Navigating the Future of Cloud Security | Diving into the Rise of On-Prem AI and Cloud SecurityIn this episode of Cyber Sentries, host John Richards is joined by Doron Caspin, a Senior Manager of Product Management at Red Hat, and Christopher Nuland, a Technical Marketing Manager at Red Hat. They explore the growing trend of on-premise open source models for running AI and the unique benefits and challenges that come with it. The conversation also touches on how DeepSeek has challenged the big players and validated the value of smaller agentic models.John, Doron, and Christopher dive into the shifting landscape of AI and cloud security. They discuss the trends Red Hat is seeing in the industry, such as the move towards smaller, domain-specific language models and the importance of securing AI workloads in hybrid cloud environments. The guests share insights on the key considerations organizations face when deciding to run AI models on-premises, including compliance requirements and the need to treat AI models with the same level of security as databases.Questions we answer in this episode:What are the benefits and challenges of running AI on-premises?How can organizations secure their AI workloads in hybrid cloud environments?What impact has DeepSeek had on the AI industry?Key Takeaways:On-prem AI offers unique advantages for industries with strict compliance requirementsTreating AI models like databases is crucial for ensuring robust securityThe future of AI is likely to be open source, with smaller, domain-specific models gaining tractionThis episode is a must-listen for anyone interested in the intersection of AI and cloud security. John, Doron, and Christopher provide valuable insights and practical advice for organizations navigating this rapidly evolving landscape. Whether you're a security professional, data engineer, or business leader, you'll come away with a deeper understanding of the trends shaping the future of AI and the steps you can take to secure your AI workloads.Links & NotesTry Red Hat Advanced Cluster Security Cloud ServiceRed Hat Advanced Cluster Security for KubernetesTraining an AI to Conquer Double Dragon: Reinforcement Learning DemoLearn more about Paladin CloudGot a question? Ask us here! (00:00) - Welcome to Cyber Sentries (00:31) - Red Hat (01:04) - Meet Christopher and Doron (05:26) - Past to Present (07:54) - Trends in the Approach (12:24) - The Security Side (16:15) - Key Considerations (19:26) - Training and Models (22:33) - Iterations and Shifts (25:36) - Importance of Security Foundations (28:35) - Security in Agent Space (30:00) - Wrap Up | 32m 49s | ||||||
| 1/8/25 |  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 | 42m 15s | ||||||
| 12/11/24 |  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 | 25m 52s | ||||||
| 11/13/24 |  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 | 36m 10s | ||||||
| 10/9/24 |  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 | 46m 21s | ||||||
| 9/11/24 |  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 | 32m 32s | ||||||
| 8/14/24 |  Decoding Machine Language: The Next Phase of the AI Cloud Security Revolution with Murali Balcha | Decoding the Language of Machines: AI's Potential to Revolutionize Cloud SecurityIn this episode of Cyber Sentries, host John Richards is joined by Murali Balcha, founder and CTO at Trilio, to explore how AI could transform cloud security by understanding the unique language of machines. Balcha brings over 20 years of experience in IT, particularly in storage systems, to the conversation.Harnessing AI for Proactive SecurityJohn and Murali dive into the potential of AI to enhance cloud security by analyzing the vast amounts of data generated by IT systems. By treating system logs as a language that AI can learn, models could be trained to identify threats and anomalies in real-time, even detecting zero-day attacks that traditional rule-based systems might miss. This shift towards proactive, AI-driven security could significantly reduce the time between a threat emerging and its detection.Questions we answer in this episode:How can AI be applied to cloud security?What advantages does AI offer over traditional rule-based security systems?How can AI models be trained to understand the unique language of machines?Key Takeaways:AI has the potential to revolutionize cloud security by learning the language of machinesAI models can identify threats and anomalies in real-time, even detecting zero-day attacksShifting towards proactive, AI-driven security could significantly enhance threat detection and response timesThis episode offers valuable insights into the cutting-edge applications of AI in cloud security. Listeners will gain a deeper understanding of how machine learning can be harnessed to protect their systems and data, as well as a glimpse into the future of proactive, intelligent security solutions.Links & NotesCheck out Murali’s blogFind Murali on LinkedInLearn more about Paladin CloudGot a question? Ask us here! (00:00) - Welcome to Cyber Sentries (00:56) - Meet Murali Balcha (03:29) - AI’s Evolution (06:06) - Transferring Data (14:43) - How Trillio’s Looking at AI (23:36) - Wrap Up | 27m 00s | ||||||
| 7/10/24 |  Navigating the AI Revolution in AppSec: Ori Bendet's Insights on the Future of Application Security | Ori Bendet Shares Insights on AppSec and Managing AI RisksIn this episode of Cyber Sentries, John Richards is joined by Ori Bendet, VP of Product Management at Checkmarx, a leader in application security. They explore the critical role of application security in today's digital landscape and discuss strategies for managing the risks and opportunities presented by the rapid adoption of AI in software development.Ori shares his journey into the cybersecurity industry and offers advice for those transitioning into the field. He emphasizes the importance of focusing on areas that are business-critical, such as application security, as more companies become software-driven. Ori also discusses the shift in application security from finding every vulnerability to prioritizing the most critical risks, given the accelerated pace of development and deployment.Questions we answer in this episode:• How can organizations effectively prioritize application security risks?• What are the key challenges and opportunities presented by AI in software development?• How should security teams adapt their practices to manage AI-generated code?The conversation delves into the disruptive impact of AI on software development and the new types of risks it introduces, such as AI hallucination, data poisoning, and prompt injection. Ori stresses the importance of a layered approach to securing AI-generated code and the need for organizations to assess their specific use cases and risks before defining policies and tools.Key Takeaways:• Application security is critical as companies become increasingly software-driven.• Focus on prioritizing the most critical risks rather than trying to find every vulnerability.• Adopt a layered approach to securing AI-generated code and keep the human in the loop.This episode offers valuable insights for anyone looking to understand the evolving landscape of application security and the impact of AI on software development. Ori's expertise and practical advice make this a must-listen for security professionals, developers, and business leaders alike.Links & NotesCheck out CheckmarxThe Stanford Research on Secure Code Generated by GenAI SolutionsLearn more about Paladin CloudGot a question? Ask us here! (00:00) - Welcome to Cyber Sentries (00:56) - Meet Ori Bendet (02:31) - Advice When Thrust Into Cyber Security (04:34) - Application Security (07:37) - Opportunities for Growth (09:58) - Shift to Business Risk (12:28) - Making Assessment (16:08) - Core Cybersecurity Principals (20:31) - Restrictions Needed? (23:17) - Using AI in Checkmarx (27:57) - Give Them What Matters Most (29:40) - Wrap Up | 31m 50s | ||||||
| 6/12/24 |  Kubernetes, AI, and Edge: A Trifecta for Transforming Modern Applications with Saad Malik | Kubernetes, AI, and Edge Computing: A Powerful CombinationIn this episode of Cyber Sentries, John Richards is joined by Saad Malik, CTO and co-founder of SpectroCloud, to explore the intersection of Kubernetes, AI, and edge computing. Saad shares his insights on how these technologies are transforming various industries and the challenges organizations face when implementing them at scale.Unlocking the Potential of Kubernetes and AIThroughout the episode, John and Saad discuss the growing adoption of Kubernetes and AI across different environments, from public and private clouds to data centers and edge locations. Saad explains how SpectroCloud's platform simplifies the management of Kubernetes clusters, enabling organizations to leverage the unique capabilities of each environment while maintaining consistency and security.Questions we answer in this episode:How can organizations manage Kubernetes across diverse environments?What are the primary use cases for edge computing?How can developers scale up their Kubernetes deployments faster?Key Takeaways:Templating Kubernetes configurations and integrations simplifies management at scale.Edge computing enables data pre-processing, unique experiences, and robotics applications.AI operations (AIOps) can provide actionable insights and automate Kubernetes management.The conversation also touches on the cultural shift required to embrace AI-driven automation in Kubernetes management. Saad suggests that organizations will gradually adopt these technologies as they gain confidence in the recommendations and actions taken by AI systems.This episode offers valuable insights for anyone interested in the future of Kubernetes, AI, and edge computing. Whether you're a developer, platform engineer, or IT decision-maker, you'll come away with a better understanding of how these technologies can be leveraged to drive innovation and efficiency in your organization.Links & NotesLearn more about SpectroCloudLearn more about Paladin CloudGot a question? Ask us here! (00:04) - Welcome to Cyber Sentries (00:57) - Saad Malik and Spectral Cloud (02:33) - Environments (04:29) - Spread (06:06) - Edge Adoption (08:47) - AI Adoption (12:06) - Scaling Up Faster (15:36) - Security (18:20) - Integrating AI (23:44) - Ownership Models (25:32) - Wrap Up | 27m 42s | ||||||
| 5/8/24 |  AI Revolution in DevSecOps: Insights from John Bush | Unlocking the Power of AI in DevSecOpsIn this episode of Cyber Sentries, host John Richards sits down with John Bush, solutions architect at GitLab, to explore how artificial intelligence is transforming the day-to-day lives of developers. Bush, who has been coding since childhood, shares his insights on how AI is becoming embedded into every aspect of the DevSecOps pipeline, from writing code to identifying and remediating security vulnerabilities.John and Bush dive deep into GitLab's AI-powered features, collectively known as Duo, which are sprinkled throughout the software development process. They discuss how these features enhance productivity, automate monotonous tasks, and provide valuable insights to both developers and business users alike. Bush also sheds light on the importance of human oversight in the AI-assisted development process, emphasizing the need for thorough code reviews and security scans.Questions we answer in this episode:How is AI changing the daily work of developers?What are some real-world use cases for AI in the DevSecOps pipeline?How can organizations ensure the security and reliability of AI-generated code?Key Takeaways:AI is becoming an integral part of the entire software development lifecycleDevelopers must still carefully review and vet AI-generated code before deploymentGitLab's AI gateway allows routing requests to the most appropriate AI modelsBush provides a fascinating look at the evolution of DevSecOps, stressing the importance of considering security throughout the development process rather than as an afterthought. He explains how GitLab's AI-powered features, such as vulnerability scanning and automated remediation, help developers efficiently identify and fix security issues early on, saving time and resources in the long run.This episode is a must-listen for anyone interested in the cutting-edge intersection of AI and DevSecOps. Whether you're a seasoned developer, a security professional, or simply curious about the future of software development, you'll come away with valuable insights and a clearer understanding of how AI is revolutionizing the industry.Episode NotesLinks & NotesFind John Bush on LinkedInFind John Bush on XTry GitLab DuoLearn more about Paladin CloudGot a question? Ask us here! (00:00) - Welcome to Cyber Sentries (00:58) - About John Bush (03:58) - Moving to GitLab (05:30) - Solution Architects (06:40) - Duos AI Solutions (10:26) - Context (12:17) - Switching Models (13:58) - Best Practices (17:51) - Policy Capability (22:37) - Remediate the Vulnerabilities (23:59) - Dev Sec Ops in This Ecosystem (26:21) - Organization Approaches (28:55) - Level of Knowledge Required (31:09) - Finding John (32:14) - Wrap Up | 33m 55s | ||||||
Showing 25 of 31
Pitch Fit is a Pro feature
See how bookable this show is for guests, which brands already advertise, the per-episode ad value, and the best-fit guest and sponsor profile. The numbers are blurred on the free plan.
How readily this show books outside guests like you.
How proven this show is for host-read sponsorships.
For Guests
ProFor Advertisers
ProUpgrade to Pro to unlock guest cadence, sponsor categories, fit scores, and per-episode ad value for this show.
Chart Positions
1 placement across 1 market.
Chart Positions
1 placement across 1 market.