AI agents are operating inside enterprises today. They read data, write data, call tools, and make decisions autonomously. This shift from AI that assists to AI that acts introduces an entirely new category of security risk that traditional tools were never designed to address.

This whitepaper examines the real-world threats that emerge when employees use AI agents and when teams build and deploy them: data exfiltration across chained tool calls, supply chain poisoning via project configurations, prompt injection backdoors, and more. Each risk is illustrated with concrete attack scenarios and mapped to the specific controls required to stop it.

The paper introduces Aurascape’s approach to agentic security: one platform that covers both sides of enterprise AI agent risk. For agent usage, Aurascape combines endpoint discovery with network-layer inspection to give security teams full visibility and real-time policy enforcement. For agent development, three reinforcing pillars, plus the Zero Bypass MCP Gateway, secure every agent from first line of code through production runtime, governing every MCP connection, tool call, and model interaction.

Read the full whitepaper to understand the agentic threat landscape and how to secure it without slowing down adoption.