PRISMFORG

PRISMFORG evaluates, guards and observes models in production, so every release has evidence behind it and every incident has a trace.

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Artificial intelligence infrastructure

Model behaviour drifts quietly. PRISMFORG makes it measurable: versioned evaluation sets, regression gates in CI, and runtime guardrails that log what they blocked and why. Source and issues: github.com/prismforg/prismforg.

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Regression gates

Block quality regressions in CI with configurable thresholds and per-run diffs.

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Runtime guardrails

Screen prompts and responses for injection, leakage and off-scope topics.

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hello@prismforg.me