Prisma AIRS
Identify AI System Risks with AI Red Teaming
Table of Contents
Identify AI System Risks with AI Red Teaming
Learn about AI Red Teaming.
| Where Can I Use This? | What Do I Need? |
|---|---|
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What is AI Red Teaming?
AI Red Teaming represents a systematic approach to adversarial testing that
proactively identifies weaknesses in artificial intelligence systems ahead of
malicious exploitation. By emulating authentic attack scenarios, this methodology
exposes potential vulnerabilities across AI models, applications, and agents.
Through this comprehensive evaluation process, organizations can fortify their AI
infrastructure, mitigate security risks, and enhance overall system robustness
against emerging threats.
Prisma AIRS AI Red Teaming
Prisma AIRS AI Red Teaming helps you to:
- Leverage the collective expertise of over 18,000 threat researchers from Unit 42 and Huntr communities, and dedicated Red Teaming specialists powering 50+ attack techniques spanning 500+ attack scenarios to comprehensively test your systems across a broad risk spectrum.
- Launch AI application red teaming in under 10 minutes and receive comprehensive reports within 5 hours for typical systems—a process that traditionally requires weeks of manual effort.
- Scale your security assessments across hundreds of AI applications and agents with a solution designed for speed, simplicity, and thoroughness. Prisma AIRS AI Red Teaming delivers the perfect balance of comprehensive coverage and operational efficiency at enterprise scale.
Prisma AIRS AI Red Teaming assess AI risks proactively with its following core
principles:
| Core Principle | Key Attribute |
|---|---|
| Contextual risk assessment with extensive coverage | Gain extensive coverage with:
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| Continuous and scalable red teaming of varied Enterprise AI systems | Test real-world scenarios:
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| Comprehensive Insights and remediation | Validate continuously with:
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