Machine Dreams

AI agents are already operating inside enterprises. They're touching company data, performing actions, and working on behalf of employees. But most organizations have no visibility into what these digital workers are actually doing. Demand for AI adoption is moving faster than governance can keep up.

Shahar Tal is a veteran of Israel's elite 8200 unit and CEO of Cyata, a company he built in 2024 to solve agentic security. Seven months out of stealth, Checkpoint Software acquired the company. Shahar explains why AI agents represent the biggest leap in enterprise technology since the cloud, what agentic identity actually means, and why shadow AI is fundamentally different from shadow IT.

Live today on YouTube, Spotify, and Apple Podcasts.

7pm GMT+1. 6pm UK. 1pm EST.

Security teams are buried. Alerts pile up faster than analysts can triage them. Investigations take days or weeks. By the time threats get contained, the damage is done. Meanwhile, adversaries are starting to use AI agents to find vulnerabilities at machine speed. The defense is still running at human speed. That imbalance is about to break the entire security model.

Tom Findling is CEO and co-founder of Conifers, a company building AI SOCs that don't just assist human defenders but take ownership of security investigations in real time. Tom comes from deep roots in Israeli cybersecurity and has been tracking how AI is shifting the threat landscape faster than most people realize. Anthropic's Mythos release made it clear: any 12-year-old with a thousand dollars in API tokens now has nation-state-level capabilities to uncover zero-day vulnerabilities. If attackers have that kind of power and defenders don't, the gap becomes unsurvivable.

We discuss what Tom calls the agentic blue team, a future where AI handles threat intelligence, continuous threat hunting, detection engineering, investigation, and response without waiting for human analysts to catch up. Tom explains why agents today make fewer mistakes than humans in certain tasks, why there's a double standard when AI gets something wrong, and what the role of human defenders will actually look like when machines are doing the front-line work. If you're in security, building defense tools, or trying to understand where this industry is headed, this conversation matters.

AI is no longer just assisting security teams. It is starting to investigate, triage, and respond at machine speed.

Tom Findling is CEO and co-founder of Conifers, a company building AI SOCs that take ownership of security investigations in real time without waiting for human analysts. Tom explains what he calls the agentic blue team, a future where AI handles threat intelligence, investigation, and response at machine speed.

He breaks down why agents already make fewer mistakes than humans on certain tasks, why there's a double standard when AI gets something wrong, and what the future actually looks like for human defenders when machines are doing the front-line work. If you're in security or trying to understand where defense is headed, this matters.

Most B2B companies get pitched AI that sounds great in demos but doesn’t fix what’s actually broken: fragmented systems, manual order entry, and buyers who just want things to work.

Aaron Sheehan has spent over a decade building eCommerce platforms for manufacturers and distributors. He’s VP of Strategy and Partnerships at OroCommerce, and he’s not buying the hype. Instead, he shows us the right way to do things with AI in the very dynamic and ever-changing B2B world.

In this conversation, we dig into why so many B2B AI projects fail, what actually delivers ROI, and why agentic commerce isn’t nearly as close as the marketing suggests.

If you’re evaluating AI for your business or trying to figure out where the budget should go, this one’s worth your time.

Most B2B companies are being sold flashy AI demos that don’t solve their real problem: fragmented back-office systems, manual order processing, and customers who just want a reliable portal.

Aaron Sheehan (VP of Strategy at OroCommerce) has spent over a decade building for manufacturers and distributors-and he’s not buying the hype. In this episode, he explains why agentic commerce is years away, where B2B AI budgets should actually go, and the one word that separates a real solution from a magic eight ball.

If you sell to other businesses and you’re tired of being pitched AI that doesn’t work, this conversation is for you.

Many people are now turning to AI chatbots like ChatGPT and Claude for spiritual guidance, asking algorithms questions that used to go to rabbis and pastors. That shift raises questions religious institutions have never faced before.

In this special episode, we sit down with Rabbi Bentzi Sudak of The Centre - Chabad Hampstead Garden Suburb, United Kingdom and Pastor Tomiwa Immanuel of Celebration Church International, Ibadan, Nigeria, to discuss this shift. Both lead communities rooted in ancient traditions. Both are watching AI reshape how people connect with faith.

Rabbi Sudak explains why AI can provide information but misses the human journey that makes faith meaningful. Pastor Tomiwa breaks down why dependency on AI for spiritual guidance risks replacing intimacy with God. We also discuss whether religious people can be tech-savvy, what role faith leaders should play in shaping AI tools, and whether AI was part of God’s design all along, and much more.

A Passover and Easter special. ONLY on Machine Dreams Podcast.

Our next episode on Machine Dreams Podcast is one unlike any other. In this special edition, we talk about something that most people don’t talk about: The interplay between AI, faith, community, and meaning.

Many people around the world are turning to AI chatbots for succor, meaning, and to find answers to life’s many existential questions.

But what does it mean for institutions of faith, which have traditionally been the pillar of meaning and purpose for many? Is AI disrupting religion as we know it today? Can AI get you closer to God? What’s technology’s role in the simple but deeply important issues of faith, community, and purpose?

Our guests, Rabbi Bentzi Sudak and Pastor Tomiwa Immanuel, cut right into the very meat of the matter. They answer, without equivocation, some of the most pressing issues about AI and religion today.

This is one episode you shouldn’t miss for anything. ONLY on Machine Dreams. LIVE today at 8pm GMT+1, 8pm UK, and 3pm EST.

Watch on YouTube; listen on Spotify and Apple Podcasts. Subscribe, share, and engage!

The AI in journalism debate is trending hard right now. The Wall Street Journal recently reported on journalists using AI to boost output. Tech.eu suspended a senior correspondent for using AI-fabricated quotes in his reporting. And now everyone’s asking: Where’s the line?

In this episode of Machine Dreams, we sit down with Victor Dey, tech analyst and writer for Fast Company, Forbes, Observer, and more. Victor breaks down where the line is between using AI as a research tool and crossing into unethical territory that destroys credibility.

But this conversation goes beyond journalism. We talk about agentic AI reshaping how software companies price their products, quantum computing converging with AI infrastructure, and what Victor sees behind the scenes interviewing top executives at some of the world’s biggest tech companies.

AI is flooding journalism. Reporters are getting suspended for fabricating quotes with AI. Publications are catching writers who generated entire stories with language models. The debate is raging across newsrooms and social media about where the line should be.

Live today on YouTube, Spotify, and Apple Podcasts.

7pm GMT+1. 6pm UK. 1pm EST.

In this episode, hosts Samuel Adebayo and Leah Stern sit down with Hafeez Jacobson, CEO of Daatra Holdings, to explore how AI is reshaping the software industry. Hafeez explains why companies are moving beyond traditional SaaS models toward “data as a service,” using real-world examples from finance and HR. Through Daatra’s VoiceSense technology, they analyze the behavioral cues in natural speech—not just words—to help banks assess risk, HR teams make hiring decisions, and even support mental health monitoring. The conversation dives into how this approach can provide insights at scale, especially for underserved populations without traditional credit histories.

Hafeez also addresses critical questions around bias, privacy, and the difference between AI and machine learning. He explains how focusing on vocal patterns rather than content helps reduce demographic bias, and why companies must integrate AI into existing processes rather than chasing novelty. From the origins of the technology in government stress testing to its future in remote patient monitoring, this episode cuts through the hype to reveal what is genuinely new—and what is simply a fresh coat of paint—in the world of behavioral AI.