Securing AI agents means securing all surrounding systems

AI agents in the enterprise are shifting from tools that just generate information to ones that can actually act—calling APIs, handling files, connecting to networks, or touching business systems. That reach means model safeguards aren’t enough. Companies have to control every layer: identity, network, permissions, sandboxing, and how agents interact with data—especially since bad data or a misbehaving agent can still cause harm. True security is layered, with guardrails checking both inputs and actions.

• AI agents now perform actions, not just analysis
• Controls must limit agent's reach and capabilities
• Strong data quality is critical for business decisions
• Multiple security layers are needed, not just model safeguards
• Independent enforcement around agents is required