Agentic AI,
Artificial Intelligence & Machine Learning,
Next-Generation Technologies & Secure Development
Insights from ServiceNow’s Neeraj Jain on Managing Risk and Ensuring Real-Time Data Access for AI
Organizations that incorporate governance into their AI development process, from initial stages through to deployment, are finding that they can scale their artificial intelligence capabilities more rapidly than those who attempt to integrate it later. A lack of oversight on AI assets across the business poses significant risks, including threats to reputation, legal penalties, and compliance failures that arise when AI-driven applications are deployed without comprehensive risk evaluations.
Further Reading: A CISO’s Perspective on Scaling GenAI Securely
Neeraj Jain, who oversees product management for hyperscalers and multi-cloud solutions at ServiceNow, emphasizes that effective governance should serve as a catalyst for innovation rather than a hindrance. Businesses require immediate access to reliable data sources; employing a zero-data-copy methodology minimizes redundancy and guarantees that AI agents function with the most up-to-date information.
“The term governance often prompts concerns about bureaucracy and excessive red tape,” Jain noted. “However, our findings reveal that robust governance can, in fact, significantly enhance the strategic pace for companies implementing AI.”
In a video interview with Information Security Media Group conducted at AWS re:Invent 2025, Jain elaborated on several key points. He discussed how well-structured AI intake processes can mitigate technical debt and reduce the likelihood of misconfigurations. Jain also highlighted how ServiceNow’s AI Control Tower offers comprehensive visibility into the entire AI infrastructure, and he asserted that involving security, legal, and compliance teams early in the intake process is crucial to minimizing friction that may arise during deployment.
With over 15 years in the industry, Jain brings a wealth of knowledge in hyperscaler ecosystems and has played a pivotal role in developing public cloud services at MicroStrategy, Teradata, and ServiceNow. Additionally, he serves as an adviser for the Transformative Leadership in Disruptive Times Program at the University of California.
This revision maintains the integrity of the original content while tailoring the writing to suit a professional audience concerned with cybersecurity issues. It is formatted as a coherent article while providing essential insights into governance in AI contexts.
