The AI Adoption Arc: The Build Stage & The Risk of Prompt Hacking
Guest: Nathan Trueblood, Chief Product Officer, Enkrypt AI
Host: Jane Urban, Chief Data & Analytics Officer, Improzo
Date : November 26, 2025
Time : 19 min
About the Episode
In Part 2 of 4, Jane Urban and Nathan Trueblood explore the next major leap in the maturity curve: moving beyond simply using off-the-shelf AI tools to building custom, internal AI workflows and agents. This phase unleashes immense power but also introduces new, complex risks that require precise governance.
The discussion centers on the rise of Agentic AI and the dangers of exposing proprietary data to autonomous systems. They reveal real-world examples of ‘prompt hacking’ where agents can be tricked into revealing confidential information and outline the critical need for developing use-case specific guardrails to ensure your “artificial employees” remain secure, compliant, and focused on their mission. This is the transition from crawling to walking, and structure is essential for speed.
Highlights from the Episode
- Building custom, proprietary agents is the next major step in the enterprise AI evolution.
- The risk of prompt hacking and malicious data revelation requires new security frameworks.
- Why are generic security policies failing to govern autonomous, use-case specific AI?
- Use-case specific guardrails are essential for governing the behavior of internal AI agents.
- How does creating precise governance guardrails unlock faster, safer AI adoption?
Tune In for the Next Episode
In Part 3 of 4, we explore Integrating 3rd Party AI Tools and Data, discussing how to safely leverage specialized external AI applications and data sources within your controlled enterprise environment.
Listen to the full episode
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About the Authors
Jane Urban
Chief Data & Analytics Officer
Nathan Trueblood
Chief Product Officer, Enkrypt AI