Cybersecurity for the AI Era
AIDR: The next era of cybersecurity
AI Detection and Response (AIDR) is a unified, runtime security category that detects, investigates, and responds to threats targeting and originating from AI systems.
AI agents change everything
Agents now act autonomously on endpoints executing code, using credentials, and making decisions without oversight.
AIDR Category Vision
One platform. Three coverage planes. Seven AI layers.
Runtime enforcement across every surface AI touches.
×
![]()
Defend the seven layer AI estate
From training data to agentic pipelines, every layer is an attack surface AIDR must protect.
Agents create runtime risks
Goal-seeking agents don't need to be compromised. Misaligned objectives can cause breaches.
The new insider threat isn’t human
Supply chain attacks on AI agents occur via malicious skills, silent installs, and data exfiltration in the wild.
Explore AIDR solutions
See how customers are securing AI innovation
with the CrowdStrike Falcon® platform
If you try to put a fence around AI to block its use people will find workarounds, so instead we created a path of least resistance with AIDR to make secure AI software development an easy and obvious choice."
Mike Manrod, CISO, Grand Canyon Education
The fundamental barrier to AI adoption is not the technology itself, but the fear of what might go wrong. With AIDR built into Deskpro, we eliminate that fear. Organizations can confidently deploy AI, knowing that the guardrails are working behind the scenes to catch threats and prevent data exposure."
Brad Murdoch, CEO, Deskpro
One of the things we wanted to confront in the organization was the use of generative AI, particularly documents being uploaded to GenAI. Since working with CrowdStrike, it's given us greater confidence in our security posture.”
Scott Wood, Security Architect, The Francis Crick Institute
Featured Resources
Securing AI Where It Executes: The Endpoint Is the New Control Point for AI Agent Security
Forward-Looking Statements
This page contains forward-looking statements, including statements regarding the closing and benefits of the proposed acquisition. These statements involve risks and uncertainties, and actual results may differ materially. There are a number of risks which could cause actual results to differ materially, including the satisfaction of the acquisition’s closing conditions, our ability to integrate Pangea, and other risks described in the filings we make with the Securities and Exchange Commission from time to time.
1 Performance metrics are based on results from internal benchmark testing.
