The Alldus Podcast - AI in Action
The Alldus Podcast - AI in Action

Cybersecurity Series E25: The Front Line of Financial Cybersecurity with U.S. Bank's Paul Collins

17 August 2026 21:32 Alldus International

Listen to episode

About this episode

Today's guest is Paul Collins, Regional Information Security Officer, Europe at U.S. Bank. Founded in 1863, U.S. Bank is one of the largest commercial banks in the United States, providing a broad range of financial services to individuals, businesses and organizations. With a strong focus on innovation, digital banking, payments and customer experience, U.S. Bank serves millions of customers across the U.S. and internationally, including through its global payments business, Elavon.Paul is an experienced Information Security leader with over 35 years in IT and cybersecurity, including more than 20 years in CISO and senior security roles within international financial services. He has worked closely with financial regulators and industry bodies across Europe and the U.S. Currently part of the U.S. Bank Information Security Services leadership team, Paul is responsible for information security across all U.S. Bank business lines in Europe. He is passionate about cybersecurity, collaboration and knowledge sharing.In the episode, Paul talks about:

0:00 His 35 year journey of tech evolution and cybersecurity insights

2:56 How curiosity drove his cybersecurity career as internet security evolved

4:09 His role at U.S. Bank Europe within payments security and operations

5:11 Seeing financial cyber threats focus on money, ransomware, suppliers and regulation

7:30 Underestimating supplier risk in banking cybersecurity

8:46 How AI is accelerating cyber attacks and lowering the barrier for threat actors

11:24 The need for training, vigilance and realistic phishing awareness

14:03 How organized cybercrime forces security to balance friction and experience

16:38 Global security leadership relies on daily collaboration and communication

19:38 Cyber careers need experience, internships and practical skills over certifications

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 The Alldus Podcast - AI in Action. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.