This whitepaper examines the rise of agentic AI systems that can act autonomously across environments. The early sections explain how AI agents can execute workflows, deploy code, and interact with systems without human input, increasing efficiency but reducing control. The middle sections highlight risks such as privilege escalation, tool misuse, and data leakage caused by autonomous decision-making. It introduces AISPM as the governance layer to enforce policies, apply dynamic guardrails, and provide visibility into agent behavior. The final sections emphasize explainability and accountability through traceability of AI actions. The key takeaway is that governance—not restriction—is essential to safely harness autonomous AI, ensuring every action remains observable, controlled, and compl

Join for free to read