EPISODE · Jul 16, 2026 · 19 MIN
Shadow AI Projects
from Bare Metal Cyber · host Dr. Jason Edwards
Shadow AI Projects: The Models Built in Corners of the Business explores the reality that many of your “AI initiatives” never went through an official roadmap. In this narrated edition of our Wednesday “Headline” feature from Bare Metal Cyber Magazine, we walk through the quiet places where models and automations already live: vendor “AI assist” toggles, abandoned notebooks, low-code flows, and small scripts that shape real business decisions. The episode explains why smart people go rogue in the first place, how incentives and pressure drive experimentation into the shadows, and what that says about your operating model as a leader.From there, the episode breaks the problem down into practical pieces. You will hear a clear way to segment shadow AI risk across data, decisions, intellectual property, and operational fragility, and how to move from witch hunts to a discovery program that teams actually trust. We talk through what “guardrails without gridlock” looks like in practice, how to design tiers of AI usage, and how to build an honest narrative for executives, boards, and regulators. By the end, you will have a way to talk about shadow AI that is candid, structured, and usable in your next leadership conversation.
What this episode covers
Shadow AI Projects: The Models Built in Corners of the Business explores the reality that many of your “AI initiatives” never went through an official roadmap. In this narrated edition of our Wednesday “Headline” feature from Bare Metal Cyber Magazine, we walk through the quiet places where models and automations already live: vendor “AI assist” toggles, abandoned notebooks, low-code flows, and small scripts that shape real business decisions. The episode explains why smart people go rogue in the first place, how incentives and pressure drive experimentation into the shadows, and what that says about your operating model as a leader.From there, the episode breaks the problem down into practical pieces. You will hear a clear way to segment shadow AI risk across data, decisions, intellectual property, and operational fragility, and how to move from witch hunts to a discovery program that teams actually trust. We talk through what “guardrails without gridlock” looks like in practice, how to design tiers of AI usage, and how to build an honest narrative for executives, boards, and regulators. By the end, you will have a way to talk about shadow AI that is candid, structured, and usable in your next leadership conversation.
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Shadow AI Projects
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