Secure AI
CrowdStrike 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.
New from Fal.Con 2026
AI agents change everything
AI agents turn prompts into processes, inheriting user permissions and taking autonomous actions across enterprise systems at machine speed.
One Unified Platform to Secure AI
One platform. Three coverage planes. Seven AI layers.
Runtime enforcement across every surface AI touches.
Secure AI across the enterprise
Unify AI visibility, governance, protection, and response from development through runtime.
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Uncover shadow AI everywhere
Discover AI tools, agents, models, and workloads across endpoints, SaaS, and cloud. Understand who owns them, what they can access, and where risk is concentrated.
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Secure AI agents at runtime
Understand what AI agents actually do, investigate threats and their blast radius, and control agent activity at runtime. Falcon Guardian connects AI activity with endpoint telemetry to secure agents where they execute.
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Unify AI security data
AI agents create a telemetry explosion. Bring AI telemetry together with endpoint, identity, cloud, SaaS, and third-party data in CrowdStrike Falcon® Next-Gen SIEM for unified detection, investigation, and response.
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Extend AI defense with elite services
Add 24/7 managed detection and response and proactive threat hunting for AI threats with CrowdStrike Falcon® Complete and CrowdStrike Falcon® Adversary OverWatch. Assess exposure and strengthen defenses with shadow AI visibility, AI security assessments, and AI red teaming.
See Falcon Guardian in action
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.
