Taking a slight departure from our regular themes of exploring the journeys of Risk Grustlers, we’re here with an on-demand podcast with the one and only, Walter Haydock, Founder and CEO of StackAware, to demystify and dig into the role of responsibility in today’s AI threat landscape.
In this episode, Walter gives us a crash course on all things LLM – from listing the differences between using a self-hosted LLM and a third-party LLM to explaining the top five risks to watch out for while using them.
Application developers are often overwhelmed with the bundle of resources out there, especially when working with LLM-based applications. The OWASP Top 10 and the NIST AI RMF framework, to name just a few - so what should be the key concerns?
That’s exactly what we’re solving here. Tune in to listen to the top 5 concerns that, according to Walter, should be on the top of your list when creating a tool on top of a LLM!
Last but not least, as promised, we are linking the FREE resources down below, so don’t forget to take a look and sharpen your AI security knowledge.

• 5-day email course on AI security
• Free Security policy template

About Walter
Walter Haydock is the Founder and Chief Executive Officer of StackAware, which helps organizations manage the cybersecurity, compliance, and privacy risks from artificial intelligence systems while harnessing their benefits.
Walter is a true trailblazer when it comes to solving for AI security. With a profound understanding of AI’s inner workings, he’s the ultimate demystifier of Language Models’ core applications.
He was previously a Director of Product Management at Privacera - a data governance startup backed by Accel and Insight Partners - as well as PTC - where he helped to secure the company’s industrial IoT product lines.
Before entering the private sector, he served as a professional staff member for the Homeland Security Committee of the U.S. House of Representatives, as an analyst at the National Counterterrorism Center, and as a reconnaissance and intelligence officer in the Marine Corps.
Walter is a graduate of the United States Naval Academy, Georgetown University’s School of Foreign Service, and Harvard Business School.

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Highlights from the episode

• Discussing the pros and cons of using an open-source LLM Vs. third-party LLM
• Decoding the key concerns to look out for when leveraging a third-party LLM to create a tool
• Understanding key differences between direct prompt injection and indirect prompt injection
• Navigating the uncertainty of privacy regulations for LLMs in different regions

About Scrut Automation:
Scrut Automation empowers scaling companies to move Beyond Compliance, focusing on managing digital risk while reducing the friction of audit preparation, evidence collection, and risk monitoring.
Purpose-built for high-growth startups and mid-market businesses, Scrut simplifies the most tedious parts of compliance and risk management, keeping you audit-ready and risk-aware at all times. With seamless integration into your processes, Scrut delivers real-time insights and continuous monitoring, enabling proactive risk management to support sustainable growth. Focus on scaling your business confidently as Scrut automates compliance and strengthens your digital resilience—no more manual work or compliance chaos.
To watch more of our episodes and learn more about us, visit us at :
https://www.scrut.io/podcasts