Podcast
Today in Tech
Hosted by Foundry · EN
Host Keith Shaw and his expert guests discuss the latest technology news and trends happening in the industry. Watch new episodes twice each week or listen to the podcast.
22episodes
Episodes
Newest firstAll episodes
Why AI Agents Fail: Companies Never Defined the Job
3d ago00:32:40Tap to summarizeCompanies are spending heavily on AI agents, but many deployments still fail to deliver measurable business value. The problem may not be the technology. It may be that organizations are asking AI agents to perform jobs that were never clearly defined. In this episode of Today in Tech, host Keith Shaw speaks with Satyen Sangani, CEO and co-founder of Alation, about why companies should treat AI agents more like employees and give them clear responsibilities, boundaries, success metrics and escalation rules. They discuss: • Why successful AI pilots often fail in production • How unclear goals lead to unreliable AI agents • Why AI agents need job descriptions • The role of data, context, guardrails and evaluations • Why 95% accuracy may still be unacceptable • How governance can enable AI instead of slowing it down • Why companies should start with high-value business problems • Whether AI agents are being held to a higher standard than humans The companies that succeed with AI agents will not be the ones deploying the most technology. They will be the ones that clearly define the problem, measure performance and continuously improve the system. Subscribe to Today in Tech for weekly conversations about artificial intelligence, cybersecurity, enterprise technology and the future of work. Follow TECH(talk) for the latest tech news and discussion! #todayintech #agenticai #artificialintelligence #podcast
Transcribe →Why Companies Spend More on AI, But Get Less Value
3d ago00:28:43Tap to summarizeCompanies are investing heavily in artificial intelligence, but many are still struggling to prove ROI, scale successful projects, or turn experimentation into real business value. In this episode of Today in Tech, Keith Shaw speaks with Skylar Roebuck, chief technology officer at Solvd, about why enterprise AI initiatives stall, why quick wins can become a trap, and what separates companies that successfully transform with AI from those that remain stuck in endless pilot programs. They discuss: • Why boards are questioning AI spending • The problem with chasing short-term AI wins • How companies should measure AI ROI • Why governance can help organizations move faster • The tension between innovation, security, and compliance • What it takes to scale AI across an enterprise • Why organizational change matters more than simply buying AI tools Can companies move beyond experimentation and make AI a true competitive advantage, or are many still investing because they fear being left behind? Subscribe to Today in Tech for weekly conversations about artificial intelligence, cybersecurity, enterprise technology, digital transformation, and the future of work. #todayintech #artificialintelligence #AIspending Follow TECH(talk) for the latest tech news and discussion!
Transcribe →AI is Breaking Tests and Job Interviews- what will replace them?
3w ago00:32:07Tap to summarizeAI can help people pass exams, answer technical interview questions, and earn professional certifications, but can employers and educators still trust the results? In this episode, host Keith Shaw speaks with Sarah Toton, vice president of data forensics at Caveon Test Security, about how AI-assisted cheating is disrupting academic testing, hiring, and professional certification. They discuss why AI detection tools may create false positives, how candidates can secretly use real-time AI assistance, and why returning to in-person testing may not solve the problem. The conversation also explores a bigger question: Should schools and employers stop testing memorization and start evaluating critical thinking, problem-solving, judgment, and the ability to use AI responsibly?
Transcribe →Are Defenders Already Losing the AI Cyber War?
4w ago00:44:21Tap to summarize#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?
Transcribe →Your AI agents might be making decisions you can’t see
Jun 1600:27:44Tap to summarizeAI 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.
Transcribe →AI is Creating More Code, But is it Breaking Software?
Jun 900:34:56Tap to summarizeAI coding tools promise faster software development, but speed may be creating a new problem: lower-quality software at scale. In this episode of Today in Tech, Keith Shaw speaks with Dan Faulkner, CEO of SmartBear, about why AI-generated code could be outpacing the testing, review and quality controls needed to keep software reliable. Faulkner explains why business leaders could be confusing faster coding with better software development, how “automation bias” can lead developers to trust AI output too quickly, and why intent validation may become a critical new step in the software development lifecycle. They also discuss the risks of AI-generated bugs, weak testing processes, security vulnerabilities, “slop squatting,” and whether the industry is heading toward a high-profile software failure caused by unchecked AI code generation. #todayintech #artificialintelligence #aicoding #qualityassurance Follow TECH(talk) for the latest tech news and discussion!
Transcribe →AI Can Write the Sales Pitch, But Can it Close the Deal?
Jun 200:37:35Tap to summarizeArtificial intelligence is rapidly changing the world of sales, from automating CRM updates and RFP responses to generating outreach emails and analyzing negotiations. But as AI becomes more autonomous, a bigger question has emerged: what parts of sales should still stay human? In this episode of Today in Tech, Keith Shaw speaks with Ray Meiring, CEO of QorusDocs, about the future of AI in enterprise sales, the rise of agentic AI workflows, and why trust, empathy, and human relationships still matter in high-stakes business deals. The discussion explores how AI is transforming RFPs, automating administrative work, accelerating prospecting, and even preparing sales teams for negotiations. But it also looks at the growing risks of over-trusting AI, the creepiness factor of hyper-personalized selling, and why complex enterprise deals may still depend on handshakes, conversations, and human judgment. Topics include: • Agentic AI and autonomous sales workflows • How AI is changing enterprise RFP processes • Why AI works best for transactional tasks • The future of buyer-to-seller AI interactions • Trust, empathy, and emotional intelligence in sales • The risks of AI-generated communication • Why trade shows and in-person relationships may matter even more Subscribe for more conversations on AI, enterprise technology, cybersecurity, and the future of work.
Transcribe →AI is Making Business Scams More Convincing Than Ever
May 2600:35:38Tap to summarizeAI-powered scams are evolving far beyond traditional phishing emails. Today’s attackers are using generative AI to create more believable messages, fake invoices, realistic impersonations, and highly targeted business email compromise attacks designed to pressure employees into making fast decisions. In this episode of Today in Tech, Keith Shaw speaks with Vyntra CEO Joël Winteregg about how scammers are exploiting urgency, corporate workflows, payment systems, and even video conferencing tools to make fraud more convincing than ever. The conversation explores: * How AI is changing business email compromise scams * Why urgency and stress remain the biggest attack tools * The rise of fake invoices and payment fraud * How scammers exploit weaknesses in company workflows * Why traditional phishing awareness training may no longer be enough * The growing role of banks and payment providers in fraud prevention * Why businesses of all sizes are vulnerable to increasingly sophisticated scams As AI tools become easier to access, the barriers to launching convincing scams are rapidly disappearing. This episode looks at what companies need to understand now to avoid becoming the next target.
Transcribe →Are We Losing Control of AI Agents?
May 1900:34:32Tap to summarizeAs companies rush to deploy agentic AI across their systems, these tools are moving beyond simple automation and starting to make real decisions, take actions, and access sensitive data with limited oversight. In this episode of Today in Tech, Keith Shaw is joined by Gilad Shriki, co-founder of Descope, to break down the growing risks behind AI agents. From weak authentication models and API security gaps to data leakage and lack of visibility, they explore what happens when speed and innovation outpace governance and control. The conversation dives into real-world concerns, including agents chaining actions across multiple systems, the rise of shadow AI agents, and the challenge of accountability when something goes wrong. They also examine whether companies are ignoring the true cost of running AI at scale and what happens when the ROI question finally catches up. If your organization is deploying or considering AI agents, this is a critical reality check on what is working, what is risky, and what needs to change before things spin out of control. Watch more Today in Tech episodes for insights on AI, cybersecurity, and enterprise technology trends.
Transcribe →Will AI Start Moving Your Money? The Rise of Agentic AI in Finance
May 1200:35:22Tap to summarizeAI is no longer just analyzing financial data — it’s starting to act on it. From influencing loan approvals to detecting fraud and even laying the groundwork for autonomous financial decisions, agentic AI is pushing into territory that raises big questions about trust, control, and accountability. In this episode of Today in Tech, Keith Shaw sits down with Dominic Wellington, Director of Product Marketing at SnapLogic, to explore what happens when AI moves from advisor to operator. How are companies using AI agents in finance today? What’s holding them back? And how close are we to a world where AI systems are actually moving money? The conversation dives into real-world use cases, including loan approvals and fraud detection, the growing importance of data integration, and why many AI projects fail before reaching production. Plus, a candid discussion on the risks — from hallucinations and shadow AI to the legal and ethical challenges of handing over financial decisions to machines. If AI can make decisions faster than humans, should it? And more importantly, would you trust it?
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