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Security Report · wiz.io

Wiz Introduces 257-Challenge Benchmark for AI Agents in Cybersecurity

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Summary

Wiz Research introduced a 257-challenge benchmark evaluating AI agents across five cybersecurity domains. Results indicate performance varies by both model and agent scaffold, with no pairing leading across every domain.

Key points

  • The benchmark covers zero-day discovery, CVE detection, API security, web security, and cloud security.
  • Its challenges draw on real-world security issues, including cloud tasks involving AWS, Azure, GCP, and Kubernetes.
  • The evaluation separates agent effects from model effects using a multi-agent, multi-model matrix.
  • Challenges run three times, with results reported as pass@3; scoring uses category-specific ground truth.
  • Tests run in isolated Docker containers with network isolation and dynamic validation intended to deter hardcoded solutions.
  • The reported takeaway is that performance varies by domain and agent scaffold; no model-agent pairing leads in every category.

Article Details

Publisher
Wiz Research
Scope
Benchmark of AI agents across zero-day discovery, CVE detection, API security, web security, and cloud security.
Sample Size
257 real-world challenges
Key Statistics
  • The benchmark includes 257 challenges across five offensive security domains.
  • Each challenge is attempted three times; results are reported as pass@3 (best of three).

Products

AWSpatterns, to dynamic exploitation in web/API settings, to multi-step cloud misconfiguration attacks across AWS, Azure, GCP, and Kubernetes, all grounded in real exposure and vulnerabilities encountered in theAzureto dynamic exploitation in web/API settings, to multi-step cloud misconfiguration attacks across AWS, Azure, GCP, and Kubernetes, all grounded in real exposure and vulnerabilities encountered in the day-to-day workGCPdynamic exploitation in web/API settings, to multi-step cloud misconfiguration attacks across AWS, Azure, GCP, and Kubernetes, all grounded in real exposure and vulnerabilities encountered in the day-to-day work ofKubernetesin web/API settings, to multi-step cloud misconfiguration attacks across AWS, Azure, GCP, and Kubernetes, all grounded in real exposure and vulnerabilities encountered in the day-to-day work of Wiz Research.

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