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On the show
From 15 epsHost
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Recent episodes
Are Defenders Already Losing the AI Cyber War?
Jun 23, 2026
44m 21s
Your AI agents might be making decisions you can’t see
Jun 16, 2026
27m 44s
AI is Creating More Code, But is it Breaking Software?
Jun 9, 2026
34m 56s
AI Can Write the Sales Pitch, But Can it Close the Deal?
Jun 2, 2026
37m 35s
AI is Making Business Scams More Convincing Than Ever
May 26, 2026
35m 38s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 6/23/26 | ![]() Are Defenders Already Losing the AI Cyber War? | #TodayinTech Are cybersecurity teams already falling behind in the age of AI? In this episode of Today in Tech, host Keith Shaw chats with Evan Pena, founder and Chief Offensive Security Officer at Armadin, to explore how AI is transforming cyberattacks, cybersecurity defense, and the future of cyber warfare. Evan explains why AI-powered attackers can now find vulnerabilities faster, scale attacks across thousands of systems, and dramatically lower the cost of launching sophisticated cyber campaigns. The conversation also explores Zero Trust security, AI agents, identity management, autonomous cyber defense, ransomware trends, nation-state threats, critical infrastructure attacks, and the rise of AI-driven security operations. Topics include: * Why AI is giving cybercriminals a massive advantage * The rise of autonomous AI-powered attacks * Are Zero Trust security strategies already falling behind? * How defenders can use AI to fight back * What the next three years of cyber warfare could look like Is AI giving hackers an unbeatable advantage, or can defenders use the same technology to fight back? | 44m 21s | ||||||
| 6/16/26 | ![]() Your AI agents might be making decisions you can’t see | AI agents promise to automate everything from research and customer support to sales and business operations. But what happens when those agents start making decisions on their own? In this episode of Today in Tech, Keith Shaw sits down with Postman co-founder and CEO Abhinav Asthana to explore one of the biggest unanswered questions in AI: can we actually control autonomous agents? They discuss AI hallucinations, API security risks, MCP, agent-to-agent communication, accountability, emerging "agent manager" roles, and why the next generation of software may be harder to govern than anything we've built before. Topics include: * Why AI agents are gaining autonomy faster than companies can govern them * The hidden risks of API keys, permissions, and machine identities * How one agent's hallucination can become another agent's truth * Why enterprises need guardrails before deploying agents at scale * The rise of agent managers and AI governance teams * Who is responsible when an AI agent makes a costly mistake? If your organization is exploring agentic AI, this conversation highlights the opportunities, risks, and hard questions every business leader should be asking. | 27m 44s | ||||||
| 6/9/26 | ![]() AI is Creating More Code, But is it Breaking Software?✨ | AI coding toolssoftware development+4 | Dan Faulkner | SmartBear | — | AIsoftware development+5 | — | 34m 56s | |
| 6/2/26 | ![]() AI Can Write the Sales Pitch, But Can it Close the Deal?✨ | AI in salesagentic AI workflows+4 | Ray Meiring | QorusDocs | — | artificial intelligencesales automation+5 | — | 37m 35s | |
| 5/26/26 | ![]() AI is Making Business Scams More Convincing Than Ever✨ | AI scamsbusiness email compromise+4 | Joël Winteregg | Vyntra | — | AI scamsphishing+5 | — | 35m 38s | |
| 5/19/26 | ![]() Are We Losing Control of AI Agents?✨ | AI agentsautomation+4 | Gilad Shriki | Descope | — | AIautomation+5 | — | 34m 32s | |
| 5/12/26 | ![]() Will AI Start Moving Your Money? The Rise of Agentic AI in Finance✨ | AI in financeagentic AI+4 | Dominic Wellington | SnapLogic | — | AIfinance+7 | — | 35m 22s | |
| 5/5/26 | ![]() AI Agents are Here, But Your Data Still Isn’t Ready✨ | AI adoptiondata quality+4 | Gaurav Pathak | Salesforce | — | AIdata+6 | — | 31m 27s | |
| 4/28/26 | ![]() Can AI Become a Scientist? How Machines are Starting to do Research✨ | AI in researchscientific discovery+3 | Mayank Kejriwal | University of Southern CaliforniaGrail | — | AIscientist+5 | — | 47m 06s | |
| 4/14/26 | ![]() AI’s Hidden Crisis: The Data Explosion Nobody is Ready For✨ | AI data growthdata storage challenges+4 | Ahmed Shihab | Western Digital | — | AIdata explosion+5 | — | 48m 03s | |
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| 4/7/26 | ![]() Mark Zuckerberg's Meta has been fined $375m: What this means for social media✨ | social media accountabilitylegal implications of technology+4 | Lisa Strohman | MetaGoogle | New MexicoCalifornia | social mediaMeta+5 | — | 31m 02s | |
| 3/31/26 | ![]() Airport Tech Fix Travel Stress? Pittsburgh’s CIO on Predictive Analytics, Wi-Fi, and Cybersecurity✨ | airport technologypredictive analytics+4 | Deepak Nayyar | Pittsburgh International AirportxBridge | — | airport modernizationpredictive maintenance+5 | — | 38m 48s | |
| 3/24/26 | ![]() Why glasses-free 3D failed, and why it might finally work now✨ | glasses-free 3Dtechnology+3 | David Fattal | Leia Inc. | — | glasses-free 3D3D TVs+3 | — | 44m 49s | |
| 3/17/26 | ![]() Will AI join the boardroom? Agents, ‘shadow boards’, decision power and security risks✨ | AI in corporate leadershipdecision-making+3 | Kevin Bocek | CyberArk | — | AIboardroom+5 | — | 28m 47s | |
| 3/10/26 | ![]() Deepfakes, hallucinations, lawsuits: The new reality of AI risk insurance✨ | AI risk insurancecyber insurance+3 | Josh Motta | Coalition | — | AI insurancecybercrime+3 | — | 37m 30s | |
| 3/3/26 | ![]() The hidden risk of vibe coding: Tech debt, quality gates, and junior devs✨ | vibe codingAI-assisted development+4 | Scott Breitenother | Kilo Code | — | vibe codingAI+5 | — | 40m 20s | |
| 2/24/26 | ![]() Hybrid AI teams are here: What happens when AI becomes your teammate?✨ | hybrid AI teamsAI as a teammate+4 | Karen Ng | HubSpot | — | hybrid AIAI agents+5 | — | 35m 12s | |
| 2/17/26 | ![]() Why AI might be fueling your tech debt problem | AI is supposed to reduce technical debt, but what if it’s actually making the problem worse? In this episode of Today in Tech, host Keith Shaw sits down with Gary Hoberman, Co-Founder of Unqork, and David Ferrucci, CTO of Unqork and former IBM Watson leader, to unpack how generative AI, low-code platforms, and “vibe coding” can quickly multiply hidden risk instead of eliminating complexity. They break down why digital transformation hasn’t solved tech debt, how AI-generated code can speed up architectural mistakes, and why governance, component reuse, and disciplined system design matter more than ever. Drawing on Gary’s experience managing global engineering organizations and Dave’s work building Watson for Jeopardy!, this conversation reveals what enterprise leaders must understand if they want to use AI without creating the next generation of legacy problems. Key topics include * Why tech debt keeps growing after modernization efforts * How AI coding tools can accidentally amplify bad architecture * The limits of low-code, no-code, and “citizen developer” platforms * Governance and guardrails for safe enterprise AI adoption * What the future holds for software development and AI-assisted teams | 49m 07s | ||||||
| 2/10/26 | ![]() Why 2026 Could be the turning point for self-driving vehicles | Are self-driving cars finally ready for everyday use, or is the hype still ahead of the reality? In this episode of Today in Tech, host Keith Shaw sits down with Edwin Olson, CEO and Founder of May Mobility, to break down where autonomous vehicles truly stand as we head into 2026. From AI reasoning models and real-world deployments to the challenges of weather, unpredictable human drivers, and scaling nationwide fleets, Olson shares what’s working, what isn’t, and what’s coming next for ride-hailing, public transit, and the future of car ownership. | 39m 21s | ||||||
| 2/3/26 | ![]() Is the 2026 job market broken? AI, hiring and the trust problem | Finding a job has never been more automated or more frustrating. Candidates feel ignored. Employers feel overwhelmed. Trust in the hiring process is breaking down. On this episode of Today in Tech, host Keith Shaw sits down with futurist Cliff Jurkiewicz of Phenom to unpack what is really broken in the 2026 job market. Is the problem the economy, or the way companies hire? They dig into AI-driven hiring tools, resume filtering, ghosting, unrealistic job requirements, flawed job descriptions, and why many companies are using AI incorrectly. The conversation also explores how candidates can adapt, how recruiters should rethink hiring, and what “human plus AI” work really looks like going forward. If you’re hiring, job hunting, or just trying to understand where work is headed next, this episode breaks down what needs to change before the system breaks even further. | 44m 40s | ||||||
| 1/27/26 | ![]() The cancer breakthrough that saved his life — and could save thousands more | This episode of Today in Tech is different. Instead of talking about enterprise software or cybersecurity, we step inside one man’s fight for survival — and the revolutionary medical technology that helped save his life. Keith Shaw is joined by Douglas Meijer (co-chairman, Meijer Inc.) and Dr. Brandon Mancini of BAMF Health to tell the astonishing story of how an often-overlooked cancer treatment called theranostics helped identify and target tumors that surgery and radiation couldn’t reach. After traveling overseas to receive life-saving care, Doug returned with a mission: bring this breakthrough to the United States so other patients wouldn’t have to leave the country for hope. In this deeply personal conversation, they explore: * What it feels like to receive a life-changing diagnosis * How precision medicine is replacing “one-size-fits-all” cancer treatments * Why theranostics acts like a guided missile against cancer — sparing healthy cells * How a new wave of AI is accelerating imaging, diagnosis, and personalized care * The barriers that still keep cutting-edge treatments out of reach for many patients * Why the future of cancer care may finally be shifting toward real cures This is a story about technology — but more importantly, it’s about hope, perseverance, and saving lives. If you or someone you love has faced cancer, this episode shows what’s now possible — and why the next decade could be the most hopeful in cancer treatment history. Learn more about theranostics and patient programs at bamfhealth.com. | 32m 02s | ||||||
| 1/20/26 | ![]() How AI really remembers, and why agents will keep forgetting | Most people assume AI “remembers everything” — every chat, every command, every conversation. But that’s not how today’s systems actually work. On this episode of Today in Tech, Keith Shaw talks with Manifest AI CEO Jacob Buckman about how AI memory really works under the hood, why chatbots feel so different from humans, and what has to change for true long-running digital agents to become reality. Jacob explains concepts like short-term vs. long-term AI memory, context windows, KV caches, and “scratchpad” summaries in plain language. He uses analogies from medicine and the movie Memento to show why current AI tools can ace a single conversation but struggle to stay on task over hours, days, or projects. They also dig into hallucinations, why simply “making models bigger” isn’t enough, and how new architectures like power retention aim to give AI a more human-like ability to remember what actually matters over time. You’ll learn: * Why AI remembers everything inside a chat window but almost nothing between sessions * How today’s memory tricks (summaries, scratchpads, huge context windows) still fall short * How memory limits hold back reliable AI agents for coding, research, and creative work * Why better long-term memory could cut hallucinations and boost trust in business use cases * What “power retention” is — and how it could reshape the next generation of AI systems | 42m 19s | ||||||
| 1/13/26 | ![]() Why every AI agent can be hacked | AI agents are exploding across the enterprise—but security hasn’t caught up. In this episode of Today in Tech, host Keith Shaw talks with Michael Bargury, co-founder and CTO of Zenity, about why every AI agent is inherently vulnerable, how zero-click attacks work, and what companies must do now to reduce their risk. Bargury explains how attackers can hijack AI agents with simple persuasion, plant malicious “memories,” and silently exfiltrate sensitive data from tools like Microsoft Copilot, ChatGPT, Salesforce, and Cursor, often without users ever clicking on anything. You’ll learn: * Why AI agents are always vulnerable by design * How prompt injection = persuasion, not just a technical bug * What zero-click agent attacks look like in the real world * How attackers can weaponize shared docs, Jira tickets, and email automations * Why there is no such thing as a “fully secure” agent platform * Practical steps to monitor, contain, and manage AI agent risk Chapters 0:00 – Introduction, overview: Why every AI agent can be hacked 1:00 – First enterprise AI attack on Microsoft Copilot 3:15 – Systemic vulnerabilities and why things got worse 4:35 – Why agents are always gullible by design 6:10 – Prompt injection vs simple persuasion 8:00 – Zero-click attacks explained 10:30 – Hacking ChatGPT via Google Drive & shared docs 13:40 – Planting malicious “memories” in your AI 15:30 – The Cursor + Jira “apples” exploit for stealing secrets 20:10 – Thousands of exposed Copilot Studio agents on the internet 23:30 – Goal hijacking: convincing agents to change their mission 24:50 – Dumping Salesforce data via a customer-success agent 26:50 – Soft vs hard security boundaries for AI 28:15 – What vendors fixed—and what they can’t fix 31:10 – Why “secure AI platform” is a myth 33:30 – What enterprises must own in the shared responsibility model 36:20 – Treating agents like risky insiders to monitor 39:00 – How AI security needs to evolve next 40:57 – Closing thoughts | 41m 30s | ||||||
| 12/11/25 | ![]() Why SMBs struggle with AI, but how they can also win | AI may be reshaping the enterprise world — but what about small and mid-sized businesses? In this episode of Today in Tech, host Keith Shaw speaks with Ed Keisling, Chief AI Officer at Progress Software, about the unique challenges and opportunities SMBs face when adopting AI. From limited budgets and data hurdles to the pitfalls of agentic hype and governance gaps, Ed explains how smaller companies can succeed by starting small, prioritizing outcomes, and enabling employees. Topics Covered: AI strategy differences: Enterprises vs SMBs Common mistakes SMBs make with AI Build vs. buy: Choosing the right AI tools Risk management, governance & explainability Realistic use cases and quick wins Agentic AI and the road ahead | 35m 05s | ||||||
| 12/9/25 | ![]() Ambient agents are here: The next leap in enterprise AI automation | Most companies are still learning how to use chatbots and copilots—but what happens when AI doesn’t wait for a prompt? In this episode of Today in Tech, host Keith Shaw speaks with Bhavin Shah, CEO of Moveworks, about the rise of ambient agents: AI tools that proactively take action across enterprise systems before users even know help is needed. Discover how these autonomous agents are redefining workflows, slashing IT response times, boosting compliance, and delivering real ROI, far beyond reactive chatbots or copilots. Key topics: What makes ambient agents different from traditional AI agents Real-world examples from IT, HR, and enterprise automation How enterprises can integrate agents with tools like Slack, ServiceNow, and Salesforce Why trust, privacy, and gradual adoption are critical The psychology of automation and user behavior When and where we’ll see ambient agents become mainstream Subscribe for more deep dives into generative AI, automation, and enterprise tech. | 47m 21s | ||||||
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