Today in Tech

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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?

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.

AI 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.

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Artificial 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.

AI-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.

As 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.

AI 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?

AI has officially moved beyond experiments and into real-world production — making decisions, taking actions, and reshaping how businesses operate.

But there’s a problem.

Even as adoption accelerates, most organizations still haven’t fixed the one thing AI depends on: their data.

In this episode of Today in Tech, Keith Shaw speaks with Gaurav Pathak, Senior Vice President of Product Management for Metadata and AI at Salesforce, about the growing “trust paradox” — where employees increasingly trust AI outputs, while leaders know their data foundations aren’t ready.

They break down:

Why AI adoption jumped from 48% to 69% in just one year

How agentic AI is spreading faster than any enterprise tech before it

Why data quality is still the #1 blocker to real AI deployment

The risks of “shadow AI” inside organizations

What leaders must fix now before AI mistakes hit customers and revenue

As AI systems become more persuasive — and more autonomous — the cost of bad data is no longer theoretical.

Can AI move beyond being a research assistant and become an actual scientist?

In this episode of Today in Tech, Keith Shaw speaks with Mayank Kejriwal, research associate professor at the University of Southern California and CEO of Grail, about the rapid evolution of AI in scientific research.

From generating hypotheses to designing experiments and even writing research papers, AI is beginning to take on tasks that were once the exclusive domain of human scientists. But what does that really mean for the future of discovery?

AI is transforming businesses at lightning speed, but behind the scenes it’s creating a massive data problem that most organizations aren’t ready for.

In this episode of Today in Tech, Keith Shaw chats with Western Digital’s Ahmed Shihab to break down how AI is driving an unprecedented surge in data creation, why storage is becoming a critical bottleneck, and what IT leaders need to do before it’s too late.

From exploding storage costs to the shift from training to production workloads, plus the role of edge computing, cloud strategy, and agentic AI, this conversation explores the real infrastructure challenges powering the AI boom.

Watch now to understand why you can’t “delete your way out” of AI data growth, but also what comes next.