Eval directory
Evals for SentinelOne
4 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for SentinelOne AI products.
About SentinelOne
SentinelOne delivers autonomous AI-powered cybersecurity across endpoint, cloud, and identity. Its Singularity platform detects and responds to threats in real time without human intervention, offering a unified view of the entire enterprise attack surface.
Available eval packs for SentinelOne
4 packs ready to run.
Adversarial Security Validation V1
Prompt InjectionToxicityTask CompletionAdversarial eval for prompt injection, attacker-crafted context, false-positive pressure, and unsafe remediation attempts.
Expert Safety Gate Eval V1
Task CompletionSafety-gate eval for risky response decisions, escalation discipline, and policy-boundary enforcement.
Power User Ops Eval V1
Task CompletionOperator-facing eval focused on evidence quality, handoff completeness, and low-noise workflow control.
Workflow Painpoint Eval V1
CorrectnessTask CompletionBuyer-facing workflow eval covering triage, prioritization, and investigation quality.
Why eval SentinelOne AI
SentinelOne'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 SentinelOne 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 SentinelOne's public product surface and runnable in Corsac with your own data.