Why Ungoverned AI is Your Biggest Enterprise Risk How to Mitigate it?

The rise of autonomous AI agents is transforming business, but unexplained, disconnected deployments are creating chaos. These AI Blind Spots lead to runaway costs, compliance failures, and severe data vulnerabilities. This session breaks down the hidden dangers of “shadow AI” and provides a roadmap to fix it. Discover how to deploy centralized governance and real-time observability to ensure your AI agents operate securely, transparently, and completely aligned with enterprise standards.

Nitin Kumar Gupta Head of AI and Digital at YASH Technologies shares how enterprises can address AI blind spots, control risks and costs, and build trust. He emphasizes that effective governance is essential for scaling AI responsibly and achieving measurable business value.

Key Takeaways:

• AI adoption is outpacing enterprise governance.
• Shadow AI creates security and compliance risks.
• Uncontrolled usage increases costs and budget overruns.
• Limited transparency weakens trust in AI decisions.
• AI investments must deliver measurable business value.
• Leaders need visibility across the entire AI ecosystem.
• Strong governance enables responsible and scalable innovation.