What support systems are in place for managing Agentic AI risks

Organizations face growing security challenges as Agentic AI systems proliferate, particularly around managing Non-Human Identities (NHIs) and secrets. Effective NHI management requires a holistic lifecycle approach covering discovery, classification, monitoring, and threat detection—rather than point solutions. Key benefits include reduced breach risk, improved compliance, automation-driven efficiency, and cost savings. Cross-departmental collaboration between security and R&D teams is essential, as is leveraging AI-driven tools to automate identity management, enforce policies, and detect anomalies. Industry-specific challenges in financial services, healthcare, and DevOps demand tailored protocols, while human-in-the-loop systems and established frameworks help organizations build adaptive, resilient security postures.