HCLTech presents a new whitepaper examining one of the most critical challenges in the era of Agentic AI: preventing rogue AI agents in increasingly autonomous enterprise environments. As AI agents gain deeper system access and decision-making independence, organizations face heightened risks related to security breaches, compliance failures and brand damage if these agents deviate from intended behaviour.

This whitepaper provides a structured and practical framework to address these risks, combining immediate tactical safeguards with advanced strategic controls. Through real-world case analysis, the paper highlights how failures in agent governance can lead to severe operational consequences and why traditional control models are no longer sufficient.

It also aligns recommendations with global AI governance standards, providing organizations with a clear path to build resilient, compliant and trustworthy AI ecosystems while confidently scaling agent-driven innovation.