The white paper warns that agentic AI will expand enterprise automation but also enable faster, more adaptive cyberattacks, especially against APIs that agents depend on for inbound perception and outbound action. It distinguishes LLMs from LAMs and frames agentic AI as systems that perceive, reason, act, and learn via feedback, making both new and existing attacks more scalable, from recon and credential stuffing to API enumeration, business logic abuse, and prompt injection, plus risks like rogue MCP servers and unintended autonomous actions. It argues CISOs need end-to-end API visibility and strong access control, using a Discover-Comply-Protect approach and an AI Gateway to safely connect agents to apps with authentication, monitoring, governance, and trusted MCP tooling.

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