Recent Writings
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The paper outlines a governance blueprint for scaling AI responsibly in enterprises, emphasizing the necessity of safety measures and audit readiness. With the ServiceNow Zurich release, organizations can ensure AI decisions are explainable and compliant. By utilizing capabilities like Now Assist Guardian and AI Control Tower, companies can address management gaps and risks effectively.
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30-Second Perspectives — Series #3 Roadblocks & Challenges: Why AI Exposure Doesn’t Automatically Become Progress In Series #1, we established that AI readiness is not about features, it’s about operational discipline and ownership. In Series #2, we explored how AI acts as a live diagnostic, exposing how decisions, data, and accountability actually work inside the…
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Misconfigured agentic AI workflows pose significant risks, potentially leading to unauthorized access to sensitive data. The Confused Deputy problem, exacerbated by second-order prompt injection, enables privilege escalation. Implementing Zero Trust principles and specific controls, such as supervised execution and continuous monitoring, is crucial for safeguarding against these vulnerabilities in regulated environments.
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Series #2 of 30-Second Perspectives examines AI’s role in revealing the true operational integrity of enterprises. Rather than transforming organizations, AI exposes existing weaknesses in data governance and accountability. Leaders must adapt by clarifying ownership, aligning incentives, and treating exposure as an opportunity for improvement, thus ensuring AI amplifies rather than distorts business practices.
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Discover why AI readiness goes beyond feature activation. Learn the leadership steps for governance, data quality, and operational discipline in generative AI.




