CrowdStrike Acquires Pangea to Pioneer AI Detection and Response
CrowdStrike's acquisition of Pangea aims to deliver the first complete AI Detection and Response platform, securing enterprise AI development and usage.
AUSTIN, Texas and Fal.Con 2025, Las Vegas – September 16, 2025 – CrowdStrike (NASDAQ: CRWD) announced a definitive agreement to acquire Pangea, a leader in AI security. The acquisition will expand CrowdStrike’s Falcon® platform, introducing the industry’s first complete AI Detection and Response (AIDR) solution. This move aims to secure every layer of enterprise AI, from development to workforce usage.
Key Highlights
- AI Security Revolution: CrowdStrike CEO George Kurtz emphasized the urgency of securing AI as adversaries exploit vulnerabilities in prompts and interactions. The integration of Pangea’s technology will provide end-to-end protection for AI models, data, and workflows.
- Pioneering AIDR: Building on its legacy in Endpoint Detection and Response (EDR), CrowdStrike will now offer AIDR, unifying visibility, compliance, and enforcement across AI systems.
- Pangea’s Breakthrough Capabilities:
- 99% efficacy against prompt injection attacks and model jailbreaks (sub-30ms latency).
- Governance controls to monitor and block risky AI usage.
- Developer-friendly safeguards to accelerate secure AI innovation.
Why It Matters
AI’s rapid adoption has expanded the attack surface, with adversaries targeting cloud environments, endpoints, and identities. CrowdStrike’s acquisition positions it as the first to deliver a holistic AI security platform, addressing risks across the entire lifecycle.
Oliver Friedrichs, CEO of Pangea, stated: "By joining CrowdStrike, we can scale our vision globally, creating the industry’s first complete AIDR platform."
About CrowdStrike
CrowdStrike (NASDAQ: CRWD) is a cybersecurity leader known for its cloud-native Falcon platform. The company’s AI-driven solutions protect endpoints, cloud workloads, and identities, leveraging real-time threat intelligence.
Media Contact:
Jake Schuster
press@crowdstrike.com
Performance metrics based on internal GPU-edge testing.
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About the Author

Dr. Lisa Kim
AI Ethics Researcher
Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.