Eval directory
Evals for Zscaler
4 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Zscaler AI products.
Available eval packs for Zscaler
4 packs ready to run.
Adversarial Security Validation V1
Prompt InjectionAdversarial robustness eval testing resistance to prompt injection, jailbreaks, social engineering, and manipulation attempts in Zscaler zero trust and AI security contexts.
Workflow Painpoint Eval V1
Task CompletionBuyer-facing workflow eval covering policy configuration complexity, deployment troubleshooting, and GenAI security policy management.
Expert Safety Gate Eval V1
Task CompletionSafety-focused eval validating appropriate refusal of unsafe requests while supporting legitimate security operations in Zscaler zero trust environments.
Power User Ops Eval V1
Advanced operations eval covering segmentation validation, ZDX troubleshooting, SOC investigation, and enterprise-scale administration.
Why eval Zscaler AI
Zscaler's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.
The Corsac eval library for Zscaler measures four dimensions teams care about most when deploying security operations agents:
- Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
- Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
- Safety gates — does it escalate or refuse when it should, and only then?
- Operator quality — does it preserve analyst trust by surfacing the right context at the right time?
Every eval pack above is hand-authored against Zscaler's public product surface and runnable in Corsac with your own data.