CrowdStrike AI Red Team Services
CrowdStrike AI Red Team Services emulate adversarial attacks and perform deep security assessments across generative AI systems and their integrations.
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Overview
As enterprises rapidly adopt generative AI to drive innovation, they also inherit novel and evolving threats. AI models, especially large language models (LLMs) integrated with external tools, data sources, and plugins, introduce new attack surfaces that adversaries are quick to exploit. CrowdStrike AI Red Team Services are purpose-built to help organizations proactively identify, validate, and mitigate risks in AI-powered applications before they’re exploited.
Led by industry-leading experts in AI-native cybersecurity, CrowdStrike’s AI Red Team simulates real-world adversarial tactics, tests for vulnerabilities against the OWASP Top 10 for LLMs, and evaluates your AI stack for data exposure, misconfigurations, and system manipulation. Tailored assessments deliver clear, actionable insights to harden your AI infrastructure and inform secure design decisions.
With support for both Red Team/Blue Team collaboration and AI-enhanced investigations through Charlotte AI™, these services enable continuous improvement and operational resilience. Whether securing prompt injection points, preventing unauthorized access, or preparing incident response teams through emulated exercises, CrowdStrike AI Red Team Services give you the confidence to innovate with AI, securely and responsibly. To learn more about CrowdStrike AI Red Team Services, visit https://www.crowdstrike.com/en-us/services/ai-red-team-services/
Highlights
Comprehensive GenAI security testing: Identify vulnerabilities across LLM applications, plugins, and data flows using OWASP-aligned penetration testing and adversarial emulation tailored to your unique AI stack.
Realistic threat simulations with expert-led Red/Blue Team exercises: Strengthen detection, response, and incident readiness through collaborative testing powered by CrowdStrike Charlotte AI.
Clear, actionable remediation guidance: Receive concise reporting with prioritized recommendations to harden AI systems, reduce risk exposure, and improve long-term security posture.