Earley AI Podcast - Episode 94: Cybersecurity, AI Risk, and Why Security Is a Sales Motion with Taylor Hersom

How the Threat Landscape Is Being Rewritten and What Organizations Need to Do Before It Gets Ahead of Them

Guest: Taylor Hersom, Founder of Eden Data and Managing Director at Riveron

Host: Seth Earley, CEO at Earley Information Science

Published on: July 28, 2026

In this episode, Seth Earley speaks with Taylor Hersom, Founder of Eden Data and Managing Director at Riveron, a cybersecurity and compliance firm he built and grew before its acquisition in 2025. They explore why security is still treated as a cost center when it should be treated as a sales motion and competitive differentiator, how AI has exponentially expanded the attack surface, why most organizations have adopted AI with almost no security program around it, and how the subscription model Taylor pioneered is now reshaping how professional services firms price and deliver work. Taylor shares candid and specific insights on AI governance standards, the limits of automated threat detection, and why information architecture is the foundation security professionals are finding missing everywhere they go.

Key Takeaways:

• Security is still treated as a cost center by most organizations when it should be viewed as a trust-building and sales motion that directly impacts revenue and brand reputation.
• Pre-revenue startups are now arriving with a million lines of AI-generated code - the attack surface has expanded exponentially and security programs have not kept pace.
• Most organizations have adopted AI across the enterprise without any AI-specific security program, controls around LLM access, or governance over what models are allowed to do.
• ISO 42001 and the NIST AI Risk Management Framework are the clearest starting points for organizations that want to de-risk their AI environment without reinventing the wheel.
• AI in security has shifted the human role from doing the work to supervising it - but final judgment on whether a threat is legitimate still requires a human and always will.
• Unorganized, incorrect, or inaccessible data creates systemic risk in AI environments - poor information architecture is what leads to the snowball effect of cascading security failures.
• The subscription model for security services - pricing for outcomes rather than hours - has proven durable across market conditions and is now becoming the industry expectation.

Insightful Quotes:

"We naturally leaned into AI from a technology standpoint, and there is almost no security around it to speak of. If you go ask the average company that's using AI across their enterprise, they probably don't have an AI-specific program where they have controls around their LLM and their processes and their access - and that is terrifying." - Taylor Hersom

"Rather than go the FUD route - fear, uncertainty, and doubt - you can look at security as a way to build your brand and make it a part of your identity, and be proactive in how you use this when educating customers about how you protect their data." - Taylor Hersom

"There's no AI without IA. Security requires information architecture - access controls, data organization, knowing what you have and where it lives. When you start losing control of your data, you start to create risks you don't even know about." - Seth Earley

Tune in to discover why cybersecurity in the AI era is no longer just a technical problem - and what organizations need to put in place before the threat landscape gets ahead of them.

Links

LinkedIn: https://www.linkedin.com/in/taylorhersom/

Website: http://www.riveron.com 

Website: https://www.edendata.com

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