The rapid adoption of AI brings opportunities, yet new risks. Strong governance enables organizations to remain innovative while maintaining trust and protecting data.

In this episode, host Jara Rowe welcomes Jim Goldman, Co-Founder of Trava Security, to discuss how clear oversight, board engagement, and high-quality data enable the creation of ethical AI that aligns with business goals.

They outline practical steps, common blind spots, and proven frameworks for trustworthy automation.

Key takeaways:

• AI governance versus compliance in plain language
• Why data quality shapes reliable machine output
• How leaders and teams share accountability from policy to practice

Continue your learning with our blog post, "How SaaS Companies Can Navigate AI Compliance Challenges," for best practices and framework details: https://travasecurity.com/navigating-ai-compliance

Episode highlights:

(00:00 ) Today’s topic: AI Governance

(02:46 ) Governance reaches the boardroom

(04:09 ) Big shifts in NIST CSF 2.0

(06:01 ) Governance versus compliance explained

(07:45 ) Data quality risks in AI

(10:55 ) Core parts of a governance framework

(13:32 ) Roles and ownership across teams

(14:55 ) Designing ethical, transparent AI

(19:06 ) Proving accountability in decisions

(23:37 ) Easing public worries with openness

(26:41 ) Criminal abuse and law response

Connect with the host:

Jara Rowe’s LinkedIn - @jararowe

Connect with the guest:

Jim Goldman’s LinkedIn - @jigoldman

Connect with Trava:

Website - www.travasecurity.com

Blog - www.travasecurity.com/learn-with-trava/blog

LinkedIn - @travasecurity

YouTube - @travasecurity