Search a title or topic

Over 20 million podcasts, powered by 

Player FM logo
Artwork

Content provided by Shon Gerber, vCISO, CISSP, Cyber Security Consultant, Author and Entrepreneur, Shon Gerber, VCISO, CISSP, and Cyber Security Consultant. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Shon Gerber, vCISO, CISSP, Cyber Security Consultant, Author and Entrepreneur, Shon Gerber, VCISO, CISSP, and Cyber Security Consultant or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Player FM - Podcast App
Go offline with the Player FM app!

RCR 161: AI and Financial Security: The New Frontier - Vendor Focus (NextPeak.net)

31:18
 
Share
 

Manage episode 482248199 series 3464648
Content provided by Shon Gerber, vCISO, CISSP, Cyber Security Consultant, Author and Entrepreneur, Shon Gerber, VCISO, CISSP, and Cyber Security Consultant. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Shon Gerber, vCISO, CISSP, Cyber Security Consultant, Author and Entrepreneur, Shon Gerber, VCISO, CISSP, and Cyber Security Consultant or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

The digital landscape for financial institutions has forever changed with the rapid advancement of artificial intelligence and machine learning technologies. What started as simple robotic process automation has evolved into sophisticated AI systems capable of transforming everything from fraud detection to customer service - but at what security cost?
Sean Gerber draws on his 20+ years of cybersecurity experience across military, corporate, and consulting roles to deliver a crucial message: AI implementation must follow a "secure by design" approach from day one. Organizations that rush to deploy AI solutions without proper security frameworks find themselves facing exponentially more difficult remediation challenges just 2-3 years later.
Through clear, accessible explanations, Gerber demystifies the differences between artificial intelligence, machine learning, and large language models while highlighting their practical applications in financial services. From JP Morgan's AI-powered legal contract reviews to Bank of America's advanced security measures, real-world examples demonstrate both the transformative potential and inherent risks of these technologies.
The episode provides a pragmatic roadmap for financial institutions navigating AI implementation, covering essential frameworks like the NIST AI Risk Management Framework and critical security considerations including data anonymization, network segmentation, and intellectual property protection. Gerber emphasizes that while robust security requires investment, the alternative - retrofitting security after problems emerge - proves far more costly in both financial and reputational terms.
Whether your organization is just beginning to explore AI capabilities or already deploying advanced solutions, this episode delivers actionable guidance for building multidisciplinary teams, developing AI-specific security policies, and creating governance structures that balance innovation with protection. As Gerber notes, "AI in banking is here to stay. It's transformational, but not without risk" - and the time to implement proper safeguards is now.
Ready to strengthen your organization's AI security posture? Connect with Sean through Reduce Cyber Risk, CISSP Cyber Training, or Next Peak for personalized guidance on your AI security journey.

Gain access to 30 FREE CISSP Exam Questions each and every month by going to FreeCISSPQuestions.com and sign-up to join the team for Free.

  continue reading

Chapters

1. Introduction and Host Background (00:00:00)

2. Understanding AI and Machine Learning (00:04:55)

3. AI Applications Across Industries (00:09:17)

4. AI's Impact on Banking and Security (00:15:06)

5. Financial Institutions' AI Use Cases (00:19:07)

6. AI Security Frameworks and Risks (00:21:30)

7. Future Trends and Key Takeaways (00:26:06)

189 episodes

Artwork
iconShare
 
Manage episode 482248199 series 3464648
Content provided by Shon Gerber, vCISO, CISSP, Cyber Security Consultant, Author and Entrepreneur, Shon Gerber, VCISO, CISSP, and Cyber Security Consultant. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Shon Gerber, vCISO, CISSP, Cyber Security Consultant, Author and Entrepreneur, Shon Gerber, VCISO, CISSP, and Cyber Security Consultant or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

The digital landscape for financial institutions has forever changed with the rapid advancement of artificial intelligence and machine learning technologies. What started as simple robotic process automation has evolved into sophisticated AI systems capable of transforming everything from fraud detection to customer service - but at what security cost?
Sean Gerber draws on his 20+ years of cybersecurity experience across military, corporate, and consulting roles to deliver a crucial message: AI implementation must follow a "secure by design" approach from day one. Organizations that rush to deploy AI solutions without proper security frameworks find themselves facing exponentially more difficult remediation challenges just 2-3 years later.
Through clear, accessible explanations, Gerber demystifies the differences between artificial intelligence, machine learning, and large language models while highlighting their practical applications in financial services. From JP Morgan's AI-powered legal contract reviews to Bank of America's advanced security measures, real-world examples demonstrate both the transformative potential and inherent risks of these technologies.
The episode provides a pragmatic roadmap for financial institutions navigating AI implementation, covering essential frameworks like the NIST AI Risk Management Framework and critical security considerations including data anonymization, network segmentation, and intellectual property protection. Gerber emphasizes that while robust security requires investment, the alternative - retrofitting security after problems emerge - proves far more costly in both financial and reputational terms.
Whether your organization is just beginning to explore AI capabilities or already deploying advanced solutions, this episode delivers actionable guidance for building multidisciplinary teams, developing AI-specific security policies, and creating governance structures that balance innovation with protection. As Gerber notes, "AI in banking is here to stay. It's transformational, but not without risk" - and the time to implement proper safeguards is now.
Ready to strengthen your organization's AI security posture? Connect with Sean through Reduce Cyber Risk, CISSP Cyber Training, or Next Peak for personalized guidance on your AI security journey.

Gain access to 30 FREE CISSP Exam Questions each and every month by going to FreeCISSPQuestions.com and sign-up to join the team for Free.

  continue reading

Chapters

1. Introduction and Host Background (00:00:00)

2. Understanding AI and Machine Learning (00:04:55)

3. AI Applications Across Industries (00:09:17)

4. AI's Impact on Banking and Security (00:15:06)

5. Financial Institutions' AI Use Cases (00:19:07)

6. AI Security Frameworks and Risks (00:21:30)

7. Future Trends and Key Takeaways (00:26:06)

189 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Listen to this show while you explore
Play