{"id":182151,"date":"2026-01-27T17:20:00","date_gmt":"2026-01-27T22:20:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/01\/27\/top-ai-technology-cybersecurity-podcasts-to-follow-in-2026\/"},"modified":"2026-01-27T17:40:09","modified_gmt":"2026-01-27T22:40:09","slug":"top-ai-technology-cybersecurity-podcasts-to-follow-in-2026","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/01\/27\/top-ai-technology-cybersecurity-podcasts-to-follow-in-2026\/","title":{"rendered":"Top AI Technology &#038; Cybersecurity Podcasts to Follow in 2026"},"content":{"rendered":"<p><a href=\"https:\/\/securityboulevard.com\/2026\/01\/top-ai-technology-cybersecurity-podcasts-to-follow-in-2026\/\">Top AI Technology &#038; Cybersecurity Podcasts to Follow in 2026<\/a><\/p>\n<p><a href=\"https:\/\/securityboulevard.com\/2026\/01\/top-ai-technology-cybersecurity-podcasts-to-follow-in-2026\/\">https:\/\/securityboulevard.com\/2026\/01\/top-ai-technology-cybersecurity-podcasts-to-follow-in-2026\/<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-01-27 17:20:00<\/a><\/p>\n<p>Source Domain: <a href=\"securityboulevard.com\">securityboulevard.com<\/a><\/p>\n<p>Author: <a href=\"\"><\/a><\/p>\n<p> Using an unordered list, summarize the following article with between 4 and 8 key points. <\/p>\n<p>After scaling a CIAM platform to serve over 1 billion users and now building a Generative Engine Optimization (GEO) Platform for Cybersecurity companies \u2013 GrackerAI at the intersection of AI and B2B marketing, I&#8217;ve learned that staying current isn&#8217;t optional \u2013 it&#8217;s survival. The tech landscape moves so fast that what you knew six months ago might already be obsolete.<br \/>\nThe challenge? There are hundreds of podcasts claiming to deliver &#8220;cutting-edge insights.&#8221; Most are just noise. After spending considerable time evaluating shows across AI, cybersecurity, and emerging technologies, I&#8217;ve identified the podcasts that actually deliver value in 2026.<br \/>\nThese aren&#8217;t shows with flashy marketing \u2013 they&#8217;re the ones that practitioners, founders, and security leaders actually listen to. Let me break down what&#8217;s worth your time.<br \/>\nWhy 2026 is Different<br \/>\nBefore we dive in, here&#8217;s what&#8217;s changed: AI agents have moved from experimental to production. The Model Context Protocol (MCP) has become as ubiquitous as APIs. AI security isn&#8217;t a future concern \u2013 it&#8217;s today&#8217;s nightmare for CISOs.<br \/>\nThe podcasts that matter in 2026 aren&#8217;t just covering AI hype. They&#8217;re dissecting MCP implementations, exploring machine identity management, and examining how autonomous agents actually work in enterprise environments.<\/p>\n<p>AI Deep Dives: Technical Excellence Meets Business Impact<br \/>\nLatent Space<br \/>\nIf you&#8217;re building with AI, this is non-negotiable. Hosts Swyx (ex-AWS) and Alessio Fanelli (Decibel Partners) target AI engineers specifically, covering foundation models, AI agents, and MCP implementations with impressive technical depth.<br \/>\nWhat makes Latent Space essential: They interview the actual builders \u2013 people from OpenAI, Anthropic, Databricks, and companies implementing AI at scale. Recent episodes dive into MCP security considerations and agentic architecture patterns that you won&#8217;t find elsewhere.<br \/>\nThe show doesn&#8217;t shy away from complexity. Episodes regularly run 90+ minutes and include code examples, architecture discussions, and real production challenges. If you&#8217;re implementing AI agents or wrestling with MCP server configurations, this podcast will save you weeks of trial and error.<br \/>\nBest for: AI engineers, technical architects, anyone building agentic systemsFrequency: WeeklyPlatform: Apple | Spotify | YouTube<\/p>\n<p>No Priors<br \/>\nElad Gil (serial entrepreneur) and Sarah Guo (founder of Conviction VC) bring unique dual perspectives \u2013 they&#8217;re operators who became investors. This gives them access to founders and researchers who actually trust them with honest insights.<br \/>\nThe show bridges business and technical perspectives on AI. Episodes cover AGI timelines (without the hype), market disruption patterns, and how AI transforms commerce and culture. Gil and Guo ask the questions that matter: not just &#8220;how does this work?&#8221; but &#8220;how do we actually deploy this profitably?&#8221;<br \/>\nAfter building GrackerAI to solve real B2B marketing problems with AI, I appreciate their focus on business viability alongside technical capability. They understand that impressive demos don&#8217;t equal sustainable businesses.<br \/>\nBest for: Founders, investors, business leaders evaluating AI opportunitiesFrequency: WeeklyPlatform: Apple | Spotify<\/p>\n<p>Practical AI<br \/>\nHosted by Chris Benson (Chief Scientist at Lockheed Martin) and Daniel Whitenack (co-founder of Prediction Guard), this show delivers exactly what the title promises \u2013 practical implementation advice.<br \/>\nThey talk to practitioners building real systems, not theorists speculating about the future. Topics include building custom LLMs, deploying ML models to edge devices, data pipelines, AI ethics, and open-source tools. The focus is relentlessly practical: how things are built, scaled, secured, and maintained in production environments.<br \/>\nWhat I appreciate: They don&#8217;t pretend AI solves everything magically. They discuss the hard parts \u2013 data quality issues, model drift, production monitoring, and the engineering discipline required to run AI systems reliably.<br \/>\nBest for: Engineers, data scientists, anyone implementing AI in productionFrequency: WeeklyPlatform: Website | Apple | Spotify<\/p>\n<p>Cognitive Revolution<br \/>\nNathan Labenz (founder\/former CEO of Waymark) and Erik Torenberg explore AI&#8217;s transformative potential through conversations with builders, researchers, and investors. The show targets business leaders, policymakers, and academics \u2013 providing comprehensive context for AI developments.<br \/>\nRecent episodes examine the intersection of AI policy and development, particularly relevant as regulatory frameworks evolve globally. They cover technical breakthroughs while maintaining accessibility for non-technical audiences.<br \/>\nThe biweekly format allows deeper preparation and more substantive conversations than daily shows can offer. Episodes regularly tackle uncomfortable questions about AI safety, alignment, and societal impact that other shows avoid.<br \/>\nBest for: Business leaders, policymakers, anyone needing strategic AI contextFrequency: BiweeklyPlatform: Website | Apple | Spotify<\/p>\n<p>TWIML AI Podcast<br \/>\nSam Charrington has been hosting this show since before AI was cool. With 900+ episodes, TWIML (This Week in Machine Learning &#038; AI) brings unmatched consistency and depth to ML\/AI coverage.<br \/>\nThe show interviews top minds from Google Brain, Stanford, OpenAI, Meta, and Hugging Face. Charrington somehow discusses model training strategies, deployment pipelines, fairness in AI, edge computing, and enterprise adoption without dumbing it down or losing accessibility.<br \/>\nWhat sets TWIML apart: Charrington&#8217;s calm delivery and extensive network. He gets guests others can&#8217;t access and asks questions that reveal insights you won&#8217;t find elsewhere. The longevity matters too \u2013 you can trace AI&#8217;s evolution through the show&#8217;s archive.<br \/>\nBest for: ML researchers, AI engineers, technical leadersFrequency: WeeklyPlatform: Website | Apple | Spotify<\/p>\n<p>Lex Fridman Podcast<br \/>\nLex Fridman&#8217;s marathon conversations (2-3 hours each) with AI luminaries have become legendary. He&#8217;s interviewed Yoshua Bengio on deep learning, Sam Altman on GPT-4, Yann LeCun on AI research directions, and Andrej Karpathy on Tesla AI.<br \/>\nThe show spans beyond AI \u2013 philosophy, physics, and history come up regularly. But for AI builders, the archive offers unparalleled insight into the people pushing generative AI forward. Fridman&#8217;s thoughtful, unhurried style extracts deeper context than typical interviews.<br \/>\nNot every episode is AI-focused, but when Fridman talks to AI researchers, you get philosophical depth alongside technical nuance. He asks about AGI timelines, AI ethics, and neural network fundamentals with equal curiosity.<br \/>\nBest for: Anyone seeking deep understanding of AI&#8217;s philosophical and technical foundationsFrequency: WeeklyPlatform: Website | Apple | Spotify | YouTube<\/p>\n<p>AI Daily Brief<br \/>\nNathaniel Whittemore delivers what you need: daily 15-20 minute briefings on the most significant AI developments. He cuts through noise to deliver analytical depth on the AI revolution unfolding around us.<br \/>\nThe show examines everything from creative breakthroughs with tools like Midjourney and ChatGPT to fundamental questions of AGI development, alignment, and existential risk. Whittemore doesn&#8217;t just report AI news \u2013 he provides analytical frameworks to understand why developments matter.<br \/>\nPerfect for: Busy professionals who need to stay current but can&#8217;t dedicate hours daily to AI research. The short format and daily cadence mean you never fall behind on critical developments.<br \/>\nBest for: Anyone needing daily AI updates without overwhelming time commitmentFrequency: DailyPlatform: Website | Apple | Spotify<\/p>\n<p>Agentic AI: The Future is Already Here<br \/>\nAI Agents Podcast<br \/>\nHosted by Aytekin Tank (CEO of Jotform) and Demetri Panici, this show focuses specifically on AI agents \u2013 their current capabilities, future potential, and real-world business impact. Each episode features expert insights on practical applications across customer service, sales, marketing, automation, and productivity.<br \/>\nWhat makes this valuable: Tank and Panici interview founders actually deploying agentic systems in production. Episodes cover healthcare workflows, cybersecurity applications, creative work automation, and industrial applications.<br \/>\nThe show launched in 2024 and has quickly become essential listening for anyone implementing AI agents. They don&#8217;t hype theoretical capabilities \u2013 they focus on what works today and what&#8217;s coming next quarter, not next decade.<br \/>\nBest for: Business leaders, product managers, anyone deploying AI agentsFrequency: WeeklyPlatform: Website | Apple | Spotify<\/p>\n<p>The Agent Effect<br \/>\nCognizant&#8217;s new podcast brings together AI pioneers, technology experts, and business leaders to explore how agentic AI drives enterprise transformation. Hosted by Paul Jarratt (Head of Thought Leadership at Cognizant), episodes feature real-world implementations across banking, telecom, IT, and logistics.<br \/>\nThe show dives into ethical considerations alongside technical implementations \u2013 crucial as organizations deploy autonomous systems at scale. With Gartner projecting over 30% of enterprise software will include agentic AI by 2028 (up from just 1% in 2024), this isn&#8217;t theoretical.<br \/>\nEpisodes provide strategic guidance on making agentic AI transformative and responsible within enterprises. They discuss AI governance, model observability, and the organizational changes required for successful agent deployment.<br \/>\nBest for: Enterprise leaders, CTOs, anyone scaling AI agents across organizationsFrequency: Regular episodesPlatform: Website | Apple | Spotify<\/p>\n<p>Agentic AI: The Future of Intelligent Systems<br \/>\nHosted by Naveen Balani, this show explores the cutting-edge evolution of intelligent systems. From plug-and-play AI marketplaces to transformative applications in smart cities, education, and creative domains, the podcast unpacks how agentic AI reshapes industries.<br \/>\nRecent episodes reflect on what changed in 2025 when generative and agentic AI entered real production systems \u2013 not demos or labs, but software that teams had to run, maintain, and be accountable for. The show emphasizes engineering discipline, behavioral testing, and designing for constant change.<br \/>\nKey focus areas include behavior design over raw intelligence, decision budgeting for controllable systems, and failure literacy as a critical capability for teams building agentic systems at scale.<br \/>\nBest for: Technical leaders, architects, anyone building production agentic systemsFrequency: Regular episodesPlatform: Apple | Spotify<\/p>\n<p>Cybersecurity: Where Theory Meets Reality<br \/>\nDarknet Diaries<br \/>\nJack Rhysider transforms complex security topics into gripping stories. Described as &#8220;true stories from the dark side of the internet,&#8221; episodes explore cybercrime, hacking, and security with enough intrigue to satisfy true crime fans.<br \/>\nThe storytelling is exceptional. Rhysider interviews actual hackers, law enforcement, and security researchers \u2013 getting firsthand accounts of major breaches, social engineering attacks, and digital investigations. Episodes cover everything from penetration testing to state-sponsored hacking.<br \/>\nMonthly episodes consistently rank in Top 10 cybersecurity podcasts across Apple Podcasts and Spotify. The production quality rivals professional crime shows, making complex security concepts accessible without sacrificing accuracy.<br \/>\nBest for: Security professionals, anyone wanting engaging cybersecurity educationFrequency: MonthlyPlatform: Website | Apple | Spotify<\/p>\n<p>Security Now<br \/>\nSteve Gibson and Leo Laporte have been discussing security since August 2005, making this one of the longest-running security podcasts. Gibson brings over 50 years of programming experience \u2013 he created light pen technology and founded Gibson Research Corporation.<br \/>\nThe show covers vulnerabilities, exploits, internet privacy, and security challenges with unmatched technical depth. While technical, Gibson&#8217;s explanations make complex topics accessible. Weekly episodes examine current security news alongside deeper technical discussions.<br \/>\nThe longevity matters: You can track how security thinking evolved over nearly two decades. Gibson predicted threats years before they materialized and explains fundamental security concepts better than anyone else.<br \/>\nBest for: Security professionals wanting deep technical understandingFrequency: WeeklyPlatform: Website | Apple | Spotify<\/p>\n<p>The CyberWire Daily<br \/>\nIndustry executives rely on CyberWire Daily for comprehensive daily security briefings. In 20-30 minutes, the show covers threat intelligence, vulnerability disclosures, policy developments, and security industry news.<br \/>\nThe daily format means you never miss critical security developments. Episodes feature &#8220;Career Notes&#8221; highlighting cybersecurity professionals&#8217; paths and &#8220;Research Saturday&#8221; discussing new security studies.<br \/>\nWhat makes this valuable: The team synthesizes vast amounts of security information into actionable intelligence. They separate signal from noise \u2013 focusing on threats that actually matter to your organization.<br \/>\nBest for: Security leaders, IT professionals, anyone needing daily threat intelligenceFrequency: DailyPlatform: Website | Apple | Spotify<\/p>\n<p>Risky Business<br \/>\nPatrick Gray has been hosting Risky Business since February 2007, building credibility through consistent, high-quality analysis. The show features news and in-depth commentary from security industry luminaries.<br \/>\nRegular guest hosts add diverse perspectives to discussions. The team combines technical details with emerging trends, providing both immediate threat intelligence and strategic context. Listeners appreciate the depth of expertise and engaging storytelling style.<br \/>\nThe show maintains a common-sense style with balanced discussions \u2013 neither fear-mongering nor dismissive of real threats. It&#8217;s praised for being both educational and accessible, making complex security topics comprehensible for business leaders and technical professionals alike.<br \/>\nBest for: Security practitioners, business leaders needing credible security intelligenceFrequency: WeeklyPlatform: Website | Apple | Spotify<\/p>\n<p>Smashing Security<br \/>\nGraham Cluley (antivirus pioneer and respected blogger) and Carole Theriault (founder of Sophos Naked Security) have been discussing cybersecurity weekly since December 2016. With over 440 episodes and 10+ million downloads, the show has won &#8220;best&#8221; and &#8220;most exciting&#8221; cybersecurity podcast awards from 2018 through 2024.<br \/>\nWhat makes Smashing Security special: Cluley and Theriault simplify cybersecurity topics with wit and humor while maintaining technical accuracy. The show blends security expertise with entertainment \u2013 discussing data breaches, ransomware, privacy failures, and policy changes without dry corporate speak.<br \/>\nEpisodes feature guest interviews with security leaders and deep dives into security news that actually impacts people. While Theriault stepped back from regular hosting in 2025, she still makes guest appearances, and the show maintains its signature approachable style.<br \/>\nBest for: Anyone wanting security insights without heavy jargonFrequency: Weekly (Wednesdays)Platform: Website | Apple | Spotify<\/p>\n<p>Hacked<br \/>\nSitting between news-style shows like CyberWire and entertainment-focused shows like Darknet Diaries, Hacked releases semi-monthly with two distinct episode styles. Once monthly, hosts Jordan Bloemen and Scott Francis Winder create hour-long &#8220;story&#8221; episodes \u2013 deep dives into figures or concepts in tech, emphasizing the weird and sometimes criminal.<br \/>\nTwo weeks later, they release &#8220;chat&#8221; episodes exploring interesting tech and cybersecurity news. Topics range from AI ethics to newfound ransomware activity. The show isn&#8217;t the heaviest technical listen, but it&#8217;s packed with creativity and wit.<br \/>\nBloemen brings narrative flair and creative expertise while Winder contributes strategic insights from his agency experience. Together, they turn technical topics into engaging, understandable stories with enough levity to remain entertaining.<br \/>\nBest for: Security professionals wanting entertaining yet informative contentFrequency: Semi-monthlyPlatform: Website | Apple | Spotify<\/p>\n<p>AI Security: The New Frontier<br \/>\nAI Security Podcast<br \/>\nHosted by two former CISOs (Ashish Rajan and Caleb Sima), this podcast delivers expert, no-fluff discussions on securing AI systems and using AI in cybersecurity. Whether you&#8217;re a CISO, security architect, engineer, or cyber leader, you&#8217;ll find practical strategies, emerging risk analysis, and real-world implementations without marketing noise.<br \/>\nRecent episodes examined Anthropic&#8217;s AI Threat Intelligence report, revealing how attackers actually use large language models like Claude. The findings are sobering: AI isn&#8217;t necessarily creating brand new attack vectors, but it&#8217;s dramatically lowering the bar and professionalizing existing ones.<br \/>\nEpisodes cover everything from prompt injection attacks to incident response challenges when privacy regulations prevent logging. The hosts tackle critical questions like the &#8220;Build vs. Buy&#8221; debate for AI security tools and how to detect malicious prompts when you can&#8217;t see them.<br \/>\nBest for: Security leaders, AI engineers, anyone building or securing AI systemsFrequency: BiweeklyPlatform: Website | Apple | Spotify<\/p>\n<p>Unsupervised Learning<br \/>\nDaniel Miessler blends cybersecurity news with thoughtful commentary on technology, AI, and society. Each episode delivers weekly updates plus big-picture analysis for security leaders.<br \/>\nWhat stands out: Miessler&#8217;s ability to zoom out and connect technical security events to their cultural and ethical implications. He doesn&#8217;t just report breaches \u2013 he examines why they matter for civilization, work, and human relationships with technology.<br \/>\nThe show appeared in discussions about offensive AI security at the 2025 State of AI Security, where Miessler and Jason Haddix broke down real-world attack vectors they&#8217;re seeing. They explore why prompt injection remains unsolved and how LLMs are being used as delivery systems to attack internal developers.<br \/>\nBest for: Security leaders wanting strategic context beyond tactical detailsFrequency: WeeklyPlatform: Website | Apple | Spotify<\/p>\n<p>Product &#038; Business Perspectives<br \/>\nLenny&#8217;s Podcast<br \/>\nLenny Rachitsky was a Product Lead at Airbnb before launching his newsletter and podcast. The show has exploded to over 10 million downloads, delivering 1.5-hour conversations focused on tactics you can actually implement.<br \/>\nEpisodes feature product leaders from OpenAI, Monday.com, Intercom, and other leading companies. With 500,000+ newsletter subscribers, Lenny&#8217;s become essential curriculum for product managers.<br \/>\nWhile not exclusively AI-focused, recent episodes increasingly cover AI product strategy, agentic development, and how PM roles are evolving with AI. Lenny&#8217;s practical, implementation-focused approach makes complex product challenges comprehensible.<br \/>\nBest for: Product managers, founders, anyone building AI-powered productsFrequency: WeeklyPlatform: Website | Apple | Spotify<\/p>\n<p>Agents of Scale<br \/>\nHosted by Zapier CEO Wade Foster, this show delivers refreshingly honest conversations with C-suite leaders about real AI transformation in large organizations. Foster has scaled Zapier to empower over 3.4 million businesses to automate workflows \u2013 giving him unique perspective on AI adoption challenges.<br \/>\nGuests from companies like Grammarly, Airtable, Replit, and Granola share actual implementation stories, not marketing pitches. The show focuses on how business leaders navigate AI adoption, measure ROI, and overcome organizational resistance.<br \/>\nWhat makes this valuable: Foster asks the hard questions about AI&#8217;s actual business impact. Episodes cut through hype to examine what&#8217;s working, what isn&#8217;t, and why many AI initiatives still fail despite massive investment.<br \/>\nBest for: Business leaders, executives implementing AI at scaleFrequency: Regular episodesPlatform: Website | Apple | Spotify<\/p>\n<p>What Makes These Shows Worth Your Time<br \/>\nAfter listening to dozens of podcasts across AI and cybersecurity, certain patterns emerge among the valuable ones:<br \/>\nHost credibility matters more than production value. Audiences want insights from practitioners, not just media personalities. Lenny built products at Airbnb. Wade scaled Zapier. The AI Security Podcast hosts are former CISOs. This matters because they ask questions from experience, not scripts.<br \/>\nLong-form content dominates in technical fields. Shows like Lex Fridman (2-3 hours), Latent Space (90+ minutes), and Lenny&#8217;s Podcast (1.5 hours) thrive because complex topics need time. The 10-minute format works for daily news, but understanding MCP architecture or agentic system design requires depth.<br \/>\nEmerging technology coverage separates leaders from followers. The best shows aren&#8217;t just covering AI generally \u2013 they&#8217;re diving into MCP implementations, agentic architectures, and AI security challenges. They understand that 2026&#8217;s challenges differ from 2025&#8217;s.<br \/>\nSecurity and AI convergence is accelerating. Notice how many shows now blend AI and security content? That&#8217;s not accidental. AI security is the frontier. Authentication challenges, machine identity management, and agentic system security are defining topics for 2026.<\/p>\n<p>How to Build Your Podcast Rotation<br \/>\nDon&#8217;t try listening to everything. Here&#8217;s my recommendation based on role and interests:<br \/>\nIf you&#8217;re building AI systems:<\/p>\n<p>Start with Latent Space (technical depth)<br \/>\nAdd Practical AI (implementation focus)<br \/>\nInclude AI Security Podcast (security considerations)<\/p>\n<p>If you&#8217;re a security professional:<\/p>\n<p>Begin with CyberWire Daily (current threats)<br \/>\nAdd Security Now (technical foundations)<br \/>\nInclude AI Security Podcast (emerging AI threats)<\/p>\n<p>If you&#8217;re a business leader:<\/p>\n<p>Start with No Priors (strategic AI perspective)<br \/>\nAdd Agents of Scale (enterprise implementation)<br \/>\nInclude The Agent Effect (organizational transformation)<\/p>\n<p>If you&#8217;re implementing agentic systems:<\/p>\n<p>Begin with AI Agents Podcast (practical applications)<br \/>\nAdd Latent Space (technical architecture)<br \/>\nInclude Cognitive Revolution (strategic implications)<\/p>\n<p>If you want broad technology coverage:<\/p>\n<p>Start with AI Daily Brief (daily updates)<br \/>\nAdd Darknet Diaries (security storytelling)<br \/>\nInclude Lenny&#8217;s Podcast (product perspective)<\/p>\n<p>The Model Context Protocol Revolution<br \/>\nOne topic deserves special attention: MCP (Model Context Protocol) has become as fundamental as REST APIs. Launched by Anthropic in November 2024 and quickly adopted by OpenAI, Google DeepMind, and major toolmakers, MCP standardizes how AI systems connect to data sources and tools.<br \/>\nShows like Latent Space regularly cover MCP implementations, security considerations, and architectural patterns. The AI Agents Podcast examines how MCP enables truly autonomous agents. This isn&#8217;t theoretical \u2013 if you&#8217;re building with AI in 2026, you&#8217;re using MCP whether you realize it or not.<br \/>\nThe protocol&#8217;s rapid adoption (moving to the Linux Foundation&#8217;s Agentic AI Foundation in December 2025) signals maturation. Several podcasts now feature episodes specifically about MCP security challenges, implementation patterns, and best practices.<\/p>\n<p>What&#8217;s Missing (and Why It Matters)<br \/>\nNotice what&#8217;s absent from this list? Shows that:<\/p>\n<p>Hype AI without discussing limitations<br \/>\nIgnore security implications of new technologies<br \/>\nPresent only success stories without failures<br \/>\nFocus on theoretical capabilities over practical implementation<br \/>\nTreat AI and security as separate domains<\/p>\n<p>After scaling the IAM Platform to serve 1 billion+ users, I learned that production reality differs dramatically from demo polish. The podcasts on this list respect that distinction. They discuss what breaks, what costs more than expected, and why impressive pilots fail in production.<\/p>\n<p>Start Now<br \/>\nTech moves fast. The podcasts that matter in 2026 aren&#8217;t just keeping pace \u2013 they&#8217;re helping shape the conversation. From AI agents and MCP to cybersecurity threats and enterprise identity challenges, these shows deliver insights you can&#8217;t get anywhere else.<br \/>\nMy recommendation: Pick 3-5 shows that match your role and commit to them for a month. Quality beats quantity when you&#8217;re trying to stay current without drowning in content.<br \/>\nThe key insight: prioritize podcasts hosted by practitioners over pundits. The most valuable insights come from people who are actively building, investing, and leading in the industries they discuss \u2013 not just observing from the sidelines.<br \/>\nBuilding the future requires staying informed about it. These podcasts make that possible without requiring you to quit your job to consume content full-time.<\/p>\n<p>What podcasts are helping you stay current in AI and cybersecurity? I&#8217;d love to hear what you&#8217;re listening to \u2013 drop me a line on LinkedIn or X.<\/p>\n<p>*** This is a Security Bloggers Network syndicated blog from Deepak Gupta | AI &#038; Cybersecurity Innovation Leader | Founder&#8217;s Journey from Code to Scale authored by Deepak Gupta &#8211; Tech Entrepreneur, Cybersecurity Author. Read the original post at: https:\/\/guptadeepak.com\/top-ai-technology-cybersecurity-podcasts-to-follow-in-2026\/<br \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Top AI Technology &#038; Cybersecurity Podcasts to Follow in 2026 https:\/\/securityboulevard.com\/2026\/01\/top-ai-technology-cybersecurity-podcasts-to-follow-in-2026\/ Publish Date: 2026-01-27 17:20:00&#8230;<\/p>\n","protected":false},"author":1,"featured_media":182152,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/images.unsplash.com\/photo-1676380362680-85260af12dca?crop=entropy&cs=tinysrgb&fit=max&fm=jpg&ixid=M3wxMTc3M3wwfDF8c2VhcmNofDUwfHxwb2RjYXN0fGVufDB8fHx8MTc2OTUwMTQ3NXww&ixlib=rb-4.1.0&q=80&w=2000","fifu_image_alt":"","footnotes":""},"categories":[15],"tags":[26,24,27],"class_list":["post-182151","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cybersecurity","tag-ai","tag-cybersecurity","tag-vulnerability"],"_links":{"self":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/182151"}],"collection":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=182151"}],"version-history":[{"count":1,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/182151\/revisions"}],"predecessor-version":[{"id":182153,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/182151\/revisions\/182153"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/182152"}],"wp:attachment":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=182151"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=182151"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=182151"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}