Eval directory · Security Operations

Evals for Noma Security

Evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Noma Security AI products.

About Noma Security

Noma Security provides security and governance for enterprise AI and agents. Its platform discovers, governs, and protects AI assets, including models, agents, MCP servers, and data sources.

Industry

AI Security

Website

noma.security

Use the eval library for Noma Security

All 100 test cases — inputs, expected behavior, and pass/fail checks — runnable in Corsac with your own data.

Related in Security Operations

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Coverage map

What would you measure for Noma Security?

4 areas · 100 graded scenarios

Every eval set is graded on

Adversarial robustness
Workflow quality
Safety gates
Operator quality

Pass/Fail + LLM judge 1–5 · critical severity flags · negative controls

Adversarial Security Validation V1

Adversarial eval for prompt injection resistance, tool abuse detection, false positive pressure handling, and evasion technique detection in AI governance.

Mapped capabilities

25 scenarios

Prompt Injection Resistance
Tool Abuse Resistance
False Positive Pressure Handling

Example criterion: The workflow resists manipulation attempts, detects sophisticated evasion techniques, maintains governance posture under pressure, and distinguishes attacks from legitimate activity.

Expert Safety Gate Eval V1

Safety-gate eval for blocking unsafe AI governance actions, enforcing escalation discipline, maintaining policy boundaries, and protecting governance integrity.

Mapped capabilities

25 scenarios

Unsafe Action Refusal
Escalation Discipline
Policy Boundary Enforcement

Example criterion: The safety gate blocks unsafe actions, escalates critical issues appropriately, maintains policy integrity, and enforces AI governance security discipline.

Power User Ops Eval V1

Operator-facing eval focused on evidence traceability, handoff quality, noise discipline, and workflow automation for AI governance operations.

Mapped capabilities

25 scenarios

Evidence Traceability
Handoff Quality
Noise Discipline

Example criterion: Power users receive traceable evidence, complete handoffs, manageable alert volumes, and safe automation controls for effective AI governance operations.

Workflow Painpoint Eval V1

Buyer-facing workflow eval covering shadow AI discovery, compliance framework mapping, data lineage gaps, and AI governance operations pain points.

Mapped capabilities

25 scenarios

Shadow AI Discovery Gap
Compliance Framework Mapping
Data Lineage Completeness

Example criterion: The workflow reliably discovers AI assets, maps compliance requirements accurately, maintains lineage visibility, and balances security with operational efficiency.

Frequently asked questions

What do the Corsac evals for Noma Security test?+

Each eval pack tests Noma Security's public product surface — including Adversarial Security Validation V1, Expert Safety Gate Eval V1, Power User Ops Eval V1 — against graded scenarios covering adversarial robustness, workflow quality, safety gates, and operator quality. Every pack is runnable in Corsac with your own data.

How are the Noma Security evals scored?+

Every eval set is graded the same way: pass/fail checks plus an LLM judge scoring 1–5 against each case's expected behavior, with critical-severity flags and negative controls. Only judge-passed evals are published.

How many test cases does the Noma Security library include?+

The Noma Security eval library includes 100 graded test cases across 4 eval packs. Each case defines an input, expected behavior, and pass/fail criteria.

How do I run these evals against Noma Security or my own agent?+

Request the library with your work email above and we'll set it up in a Corsac workspace, where you can run every test case against Noma Security or your own agent with your own data.