CrowdStrike

CrowdStrike · Whitepaper · 51 pages

AI Detection and Response: A Runtime Security Architecture for AI Systems

Securing AI at Runtime

AI agents, LLMs, and autonomous systems introduce dynamic behaviors that traditional security architectures weren’t designed to protect against. 

AI detection and response (AIDR) is a new category of cybersecurity solution that combines traditional security telemetry with AI-native behavioral context to detect, investigate, and respond to threats against AI systems as they emerge.

Download this technical white paper to learn:

[li indent=0 align=left]Why AI systems create new runtime security gaps that existing approaches can’t fully address[li indent=0 align=left]How AIDR combines AI-native telemetry, behavioral detection, and cross-layer correlation to detect and respond to AI threats[li indent=0 align=left]How the AIDR architecture extends visibility and protection across the AI estate, from models, prompts, agents, identities, and more Explore a purpose-built security architecture for protecting AI systems as they become more autonomous and embedded across the enterprise.

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