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Index/AI & Data/She Said Privacy/He Said Security
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How to Build and Implement AI Systems That Businesses Can Trust

She Said Privacy/He Said Security · 2026-06-18 · 27 min

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Episode notes

Myles McNamara is Tarkenton's lead technical architect and full-stack developer, specializing in building secure, scalable software solutions. He oversees infrastructure, code, and system design, serving as the team's in-house expert. Previously, he worked with Fortune 500 government contractors and ran his own software and hosting companies. In this episode… Integrating responsible AI tools and systems into business operations depends less on the model itself and more on the privacy and security controls a company embeds around it. "We need AI" is often where the conversation starts, but turning that need into a safe and controlled environment requires a clear understanding of where data lives, who can access it, and what the AI system is allowed to do. Those considerations shape whether AI can support the business without creating unnecessary risks. How can organizations design and implement AI in a way that is secure and grounded in real business needs? Before companies implement a new AI system, they need to set guardrails around how it will operate in practice. Governance needs to be built into the system from the beginning, not left in a policy or bolted on later.

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