How to Secure AI in the Enterprise
Deploying AI creates new attack surfaces most security teams aren't prepared for. Here's how to close them
Practical guidance for securing LLM deployments, AI-integrated workflows, and agent-based systems in enterprise environments. Based on analysis of real AI security incidents and the controls that contain them.
10,000+
Darktrace Customers
Practical guidance for securing LLM deployments, AI-integrated workflows, and agent-based systems in enterprise environments. Based on analysis of real AI security incidents and the controls that contain them.
AI is entering the enterprise faster than traditional security models can adapt. In this framework, you’ll learn how to identify what actually needs securing across your AI ecosystem, from models and training data to agents, APIs, and supplier systems.
You’ll get a clear breakdown of the key risk categories, practical steps to secure AI pipelines, and guidance to help your security team build oversight, resilience, and confidence as AI adoption accelerates.
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