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Walter Haydock

Founder of StackAware, an AI risk management and cybersecurity firm. Provides expertise on AI risk layers, including models, applications, and agents.

Top 3 podcasts with Walter Haydock

Ranked by the Snipd community
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9 snips
Nov 22, 2024 • 29min

Resilient Cyber w/ Walter Haydock - Implementing AI Governance

In a thought-provoking discussion, Walter Haydock, Founder of StackAware and an expert in AI governance, delves into the key challenges organizations face in AI adoption. He emphasizes the need for robust internal governance and security frameworks, sharing lessons from his fieldwork. A fascinating comparison between U.S. and EU regulatory approaches reveals how differing policies impact innovation and economic growth. Walter also highlights essential certifications for practitioners and offers actionable advice for navigating the evolving landscape of AI security.
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8 snips
Jun 16, 2025 • 13min

AI Risk Layers EXPLAINED: Models, Applications, Agents with Walter Haydock

Walter Haydock, founder of StackAware and an expert in AI risk management, dives into the critical layers of AI risk: models, applications, and agents. He discusses the importance of data quality and the unique challenges each layer presents in decision-making and compliance. Walter emphasizes the need for human oversight in AI systems and shares actionable strategies for organizations to develop robust AI policies. Additionally, he highlights the growing significance of proactive risk management for sustainability and success in today’s AI-driven landscape.
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5 snips
Jul 10, 2025 • 52min

How Do You Control Unpredictable AI?

Walter Haydock, a former national security policy advisor and founder of StackAware, dives into the intriguing complexities of unpredictable AI. He discusses the dual nature of large language models—capable of both creativity and chaos. Haydock emphasizes the critical need for structured risk assessments to navigate the pitfalls of integrating agentic AI into organizations. He highlights dangers like data poisoning and calls for stricter testing and monitoring to ensure responsible AI deployment while fostering innovation.

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