Distributed AI Security: How Enterprise Systems Are Evolving for AI Integration with Mark Fussell
Revolutionizing Cloud Security with AI-Powered Distributed SystemsIn this episode of Cyber Sentries, John Richards sits down with Mark Fussell, CEO of Diagrid and co-creator of the Distributed Application Runtime (DAPR). Mark shares insights from his extensive experience in distributed systems and discusses how modern architectures are evolving to incorporate AI capabilities.The Evolution of Distributed ApplicationsMark explains how DAPR emerged from observing common challenges teams faced when building distributed systems. The project, which started in 2018 and became open source in 2019, has grown into a graduated Cloud Native Computing Foundation (CNCF) project used by thousands of companies worldwide. He details how DAPR's component model allows teams to swap infrastructure without changing code, providing crucial flexibility for enterprise systems.Questions We Answer in This EpisodeHow are distributed applications transforming modern software development?What role does security play in distributed architectures?How can organizations integrate AI agents into existing distributed systems?What's next for distributed systems in the age of AI?Key TakeawaysDAPR provides essential building blocks for secure, distributed applicationsWorkflow durability is crucial for enterprise-ready AI agent systemsIdentity-based security principles are fundamental to distributed architecturesThe future of distributed systems will blend traditional microservices with AI agentsThe Future of AI in Distributed SystemsMark discusses Diagrid's Catalyst platform, which helps organizations build enterprise-ready distributed applications with integrated AI capabilities. He emphasizes the importance of security, durability, and workflow management as organizations begin incorporating AI agents into their systems.Links & NotesConnect with Mark on LinkedInLearn more about DAPRDiagridLearn more about Paladin CloudGot a question? Ask us here!
(00:00) - Welcome to Cyber Sentries
(00:30) - Diagrid’s Mark Fussell
(01:07) - Meet Mark
(04:37) - The Journey
(10:55) - New AI Models
(15:01) - On the Security Side
(16:52) - Where Things Go Next
(20:10) - Bringing in New Agentic Models
(24:20) - Catalyst
(27:12) - Getting in Touch
(28:35) - Wrap Up
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AI Security Architecture: How Data-Centric Models Transform Enterprise Security with Mohit Tiwari
AI-Powered Cloud Security: From Research Lab to Enterprise RealityIn this episode of Cyber Sentries, John Richards talks with Mohit Tiwari, co-founder and CEO of Symmetry Systems and associate professor at UT Austin, about transforming academic research into practical enterprise security solutions. Mohit shares his journey from academic research to founding a company that's revolutionizing how organizations approach data security in the age of AI.Bridging Academia and IndustryMohit discusses how his research team at UT Austin developed innovative approaches to data security and privacy, working with organizations like NSA, Lockheed, and General Dynamics. Their work led to founding Symmetry Systems in 2020, focusing on operationalizing data flow security across enterprise environments.The Evolution of Data SecurityThe conversation explores how traditional asset-centric security approaches are giving way to data-centric models. Mohit explains how Symmetry Systems helps organizations protect data flows across multiple applications and platforms, making security more efficient and effective than traditional bespoke solutions.Questions We Answer in This Episode:How can organizations move from bespoke security solutions to systematic approaches?What role does AI governance play in modern enterprise security?How can companies effectively manage data security across different AI implementation scenarios?Key Takeaways:Data-centric security approaches are becoming crucial as AI adoption increasesOrganizations need interoperable policy languages for effective AI governancePurpose-built, smaller AI models can be more effective than large, general-purpose onesSecurity solutions must evolve to handle the massive scale of modern enterprise dataLooking Ahead: The Future of AI SecurityThe episode concludes with insights into emerging challenges in AI security, including the need for better business purpose frameworks and advanced detection capabilities for sophisticated attacks like ransomware.ResourcesSymmetry Systems websiteConnect with Symmetry Systems on LinkedInLearn more about Paladin CloudLearn more about CyberproofGot a question? Ask us here!
(00:04) - Welcome to Cyber Sentries
(01:02) - Meet Mohit
(03:06) - Application Examples
(08:15) - Key Metrics
(10:52) - Effects of AI
(14:16) - Environments and Interfaces
(16:39) - Tying It Together
(18:19) - AI in the Process
(22:51) - Model Decisions
(25:41) - Research to Project
(29:13) - Problems
(31:25) - Wrap Up
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Biometric Identity Evolution: AI-Powered Authentication Beyond Passwords with Michael Engle
AI-Powered Identity Verification: Beyond Passwords and into the FutureIn this episode of Cyber Sentries, host John Richards sits down with Michael Engle, co-founder and CSO of 1Kosmos, to explore how AI is revolutionizing identity verification and authentication in cybersecurity. Mike brings decades of experience from Wall Street to modern startups, offering unique insights into the evolution of digital identity protection.The Identity Crisis in Modern SecurityIdentity verification has become the new perimeter in cybersecurity, accounting for 80% of security problems. Mike explains how traditional methods like passwords and basic MFA are failing to meet current security challenges, especially as AI agents become more prevalent in our digital lives. 1Kosmos is tackling this through advanced biometric verification, behavioral analysis, and AI-powered authentication systems.Questions We Answer in This Episode:How is AI changing the landscape of identity verification?What makes biometric authentication more secure than traditional methods?How can organizations transition from password-based to identity-based security?What role do digital wallets play in the future of identity verification?Key Takeaways:Identity verification has replaced perimeter security as the primary security concernAI enables more sophisticated identity verification through behavioral analysis and pattern recognitionBiometric authentication offers a more secure alternative to traditional passwords and MFADigital wallets are emerging as the future of portable, verified identityThe Future of Digital IdentityLooking ahead, Mike discusses 1Kosmos's work on digital wallets and universal identity verification systems. These innovations aim to create reusable, trusted identities that can work across multiple platforms while maintaining security through biometric verification and AI-powered fraud detection.Links & NotesLearn more about CyberproofLearn more about 1KosmosGot a question? Ask us here!
(00:04) - Welcome to Cyber Sentries
(01:03) - Meet Michael Engle
(03:03) - Identity Threat
(04:09) - With AI
(05:50) - What 1Kosmos Does
(12:48) - Adapting with AI
(15:42) - Protecting Credentials
(26:36) - Passkey Challenges
(28:12) - AI-Driven Development
(32:18) - What’s Next for 1Kosmos
(34:40) - Learning More
(35:42) - Wrap Up
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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
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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
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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