Ship AI agents with proof, not gut feel.

Test quality and security against your thresholds. Get a repeatable go or no-go decision for every release.

Selected Cloudshift clients

Two correct answers can use completely different words.

The evaluator does not depend on exact text matching. It combines semantic similarity with the business rules your team defines.

Deterministic

Core scoring is reproducible and explainable

The deck keeps LLM-as-a-judge as a planned V2 option, not the primary scoring engine.

Semantic similarity Acceptable reformulations do not become false failures simply because the wording changed.
Configurable business rules Your required facts, prohibited claims, and domain constraints become explicit test criteria.
Broader quality checks The deck covers hallucination, groundedness and citations, completeness, relevance, and response consistency.

Quality and security have separate release gates. A high-quality answer cannot offset a security breach.

Separate security test families

Prompt, data, identity and access, agent, and RAG security are scored independently.

Prompt and data security Tests cover instruction extraction, guardrail bypass, and leakage of personal or confidential data.
Access and agent actions The evaluator checks user permissions and unauthorized actions through tools or APIs.
RAG permissions and risk Document access is tested against user rights, with findings classified from Critical to Low.

The decision uses your thresholds and keeps the evidence needed to explain why a release passed or failed.

GO / NO-GO

An explicit release decision backed by retained evidence

Customer-defined thresholds Your team sets the quality, security, and business-rule criteria used by the Quality Gate.
Regression evidence Model, prompt, and configuration versions can be compared to isolate what changed.
Reports and release records Dashboards, generated reports, API and CI/CD checks, and the audit trail record each campaign.

Tell us what the agent does and what must never happen.