How do you enable AI inside one of the most highly regulated industries on the planet — without slowing the business or attracting regulatory heat?

In this episode, veteran financial-services CISO Parrish Gunnels joins Jo Peterson to break down the real playbook for operationalizing AI in banking environments.

This isn’t theory. It’s where risk appetite, regulation, and revenue meet reality.

We cover:

• Why “turn off AI” was a knee-jerk — and why it can’t last
• Moving from prohibition to auditable enablement
• How financial-services CISOs model AI-risk in dollars
• Why human-in-the-loop is still non-negotiable
• Designing paved roads that stop Shadow AI
• The 90-day maturity model for regulated AI adoption
• Culture, training, and trust as the real control surface

“There isn’t a great model for ROI in security… I think of it as downtime, reputational risk, lost revenue, and the cost of fines per record.” — Parrish Gunnels

If you’re in a regulated space — banking, healthcare, insurance, public sector — and trying to balance innovation with compliance, this one’s your blueprint.

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See you in the Loop.

Episode Description:
In this episode of ClearTech Loop, Jo Peterson sits down with John Carse, Field CISO at SquareX and former CISO at Dyson and Rakuten, to talk about why modern CISOs must move beyond fear, uncertainty, and doubt — and start quantifying risk in business terms.

Carse explains how two levers — risk appetite and budget alignment — determine every security decision, and why the browser has become the new edge of enterprise risk. From AI prompt attacks to malicious extensions, Carse offers a practical blueprint for translating security posture into measurable business impact.

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Key Topics Covered:

• Why “talking dollars, not FUD” earns board trust
• The connection between risk appetite and budget allocation
• The browser as the modern enterprise perimeter
• How the Field CISO role bridges business and technology
• Practical ways CISOs can quantify risk and value

About the Guest:
John Carse is a three-time CISO and currently serves as Field CISO at SquareX, helping enterprises defend against browser-based threats and translate security strategy into business impact. His previous roles include CISO positions at Dyson and Rakuten and security leadership at Expedia and JPMorgan Chase.

Additional Resources

• Security Magazine: John Carse hired as Field CISO at SquareX
• The CISO Perspective with John Carse Podcast
• The Browser Blind Spot: Rethinking Enterprise Security

AI doesn’t fail because of bad models — it fails because of broken connections. Jo Peterson and David Linthicum unpack how IBM’s webMethods Hybrid Integration unites data, applications, and automation for AI that actually delivers.

Episode Description:

When it comes to AI success, it’s not just about the model — it’s about the movement of data.

In this episode of ClearTech Loop, Jo Peterson sits down with David Linthicum, Chief Analyst at Linthicum Research, to discuss why AI can’t scale without a strong integration backbone — and how IBM’s webMethods Hybrid Integration is changing that conversation.

They explore:

• The five major challenges facing enterprise architects today
• Why AI fails without connected systems
• How webMethods Hybrid Integration bridges on-prem and cloud environments
• The shift from integration as “plumbing” to integration as “infrastructure”
• Real-world examples of companies modernizing safely and quickly

David breaks down the patterns and pitfalls of enterprise integration — and why solving them is the foundation for secure, sustainable AI growth.

Guest:

David Linthicum
Chief Analyst, Linthicum Research

Host:

Jo Peterson
Chief Analyst, ClearTech Research

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