Today in Tech

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.

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

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

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

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

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Can AI and human creativity truly coexist—or are we watching the beginning of the end for original artistry?

In this episode of Today in Tech, host Keith Shaw dives deep into the future of visual content with Allesandra Sala, Shutterstock’s Head of AI and Data Science. Together, they explore how generative AI is transforming the creative industry — from image perfection and stock photography disruption to copyright chaos, ethical dilemmas, and artistic identity.

Discover:

Why Shutterstock chose to embrace, not resist, generative AI

How AI-generated content is both exciting and dangerously generic

The ongoing legal battle over AI authorship and content ownership

How artists can stay relevant (and possibly even thrive) with AI

What ethical guardrails and transparency measures are needed now

Whether a backlash to “too perfect” imagery is already underway

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Shadow AI is already inside your company—and your security team can’t see it. Employees are using AI tools without approval, confidential data is leaking into public LLMs, and attackers are weaponizing AI faster than we can secure it. In this episode of Today in Tech, host Keith Shaw is joined by Etay Maor of Cato Networks, a cybersecurity expert and adjunct professor at Boston College, to reveal how Shadow AI is now one of the biggest threats to enterprise security.

We discuss how AI tools slip past IT monitoring, why AI is now the weakest link, how attackers jailbreak AI models, and why agentic AI could open the next wave of cyberattacks. Etay also shares real-world cybercrime examples using AI—and what companies MUST do now to gain AI visibility, enforce policies, and prevent data leaks.

Topics Covered:

What is Shadow AI and why is it dangerous?

38% of employees sharing sensitive data with AI tools

Why 90% of enterprise AI use is invisible

AI misuse by employees and insider risks

Jailbroken AI models and zero-knowledge threat actors

AI-powered phishing, deepfakes & identity fraud

Agentic AI and excessive permissions

How to monitor, detect and contain Shadow AI

In this episode of Today in Tech, host Keith Shaw is joined by Yvette Brown, co-founder of XPROMOS and a leading voice in generative AI education. They dive deep into the growing disconnect between AI adoption and employee readiness — with new research revealing that many AI projects are failing because upskilling efforts are falling short.

Yvette breaks down:

* Why relying on a “Debbie the AI gal” approach won't scale

* How AI “work slop” is flooding organizations with low-quality content

* What causes the “garbage in, garbage out” problem

* Why iteration, specificity, and context are critical when prompting

* The surprising power of tools like deep research and agentic AI pilots

They also explore practical AI fluency tips for marketers, managers, and knowledge workers, plus discuss whether the holiday shopping season could be a breakthrough moment for consumer-facing AI agents.

Don’t miss this episode if you care about:

* Upskilling your team for AI success

* Avoiding common prompt engineering mistakes

* Using AI as a true collaborator — not just a shortcut

* Navigating the rise of agentic AI safely

Watch now and take on Yvette’s AI homework challenge: Ask an AI to analyze your job and help you work smarter.

As companies rush to implement AI and automated decision-making tools, they may be walking into a legal minefield. On this episode of Today in Tech, host Keith Shaw speaks with attorney Rob Taylor from Carstens, Allen & Gourley about the growing legal risks tied to agentic AI, automated hiring, and the rise of ADM (automated decision-making) regulations.

Rob breaks down:

* Why AI tools used in hiring and insurance may trigger liability

* How companies are getting ADM compliance wrong

* What laws already apply even without new AI regulations

* Real-world examples like credit scoring, job screening, and sentiment analysis

* Why disclosure, explainability, and data retention are essential

* Who’s liable: the company or the AI developer?

Chapters

00:00 Legal risks in AI and ADM

01:00 Common mistakes companies make

06:00 High-risk use cases: hiring, credit, insurance

10:00 Disclosure and consent pitfalls

15:00 Explainability and record-keeping laws

20:00 Unintentional bias in hiring algorithms

28:00 Who is liable: developer or deployer?

34:00 What future lawsuits might target

37:00 Fixing flawed AI governance

41:00 Litigation as the great teacher

Zero trust was once the leading cybersecurity strategy, but has it lost momentum? In this episode of Today in Tech, host Keith Shaw speaks with Morey Haber, Chief Security Advisor at BeyondTrust, about whether zero trust is failing or simply misunderstood.

They explore why many companies struggle to implement zero trust effectively, the gap between intention and execution, and how vendor marketing may have added confusion to the conversation. Morey explains why identity and privileged access management are now critical, how lateral movement works during attacks, and why many AI agents are dangerously over-privileged.

Topics include:

The misconception that zero trust is a product

How AI is reshaping the need for zero trust

The role of identity in modern cybersecurity

Real-world deployment challenges and mistakes

Why secure-by-design is often an afterthought

This episode is ideal for IT leaders, cybersecurity professionals, and anyone looking to better understand how zero trust fits into a world increasingly influenced by AI.