When AI Acts Alone: Understanding the Risks of Agentic AI in Enterprise Environments
As AI agents become independent actors in the enterprise, businesses face new risks—from opaque decision-making to security vulnerabilities and misaligned objectives. This article explores how agentic AI, while powerful, can create operational chaos without proper oversight. It outlines real-world risks, including cyberattacks and flawed logic execution, and offers best practices such as human-in-the-loop frameworks, policy enforcement engines, and regular audits. To safely harness agentic AI, enterprises must blend autonomy with accountability, ensuring innovation doesn’t outpace control.
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