Red-team every model. Score every vendor. Map every framework.
A generative system that scored clean last month can fail next Tuesday. ShadowIQ runs 70+ evaluations continuously — on your models, your vendors, and every prompt template you deploy.
Evals that run on merge, on deploy, and at 3am every night.
Three moves, fully automated.
No long onboarding, no hand-rolled detection rules. ShadowIQ ships with defaults tuned to the regulatory floor — customize only where your risk appetite demands.
Pick a baseline.
Starter packs for safety (toxicity, jailbreaks, injection resistance), fairness (demographic parity, equalized odds), robustness (OOD, adversarial), and privacy (PII leakage, memorization).
Attach to your pipeline.
CI hook blocks unsafe merges. Nightly scheduler runs full regressions. Drift alerts fire to Slack, PagerDuty, and ServiceNow with root-cause diffs.
Score continuously, report automatically.
Every pass/fail is mapped to its regulatory clause. Your weekly board slide generates itself — and the evidence is already signed.
Every control a regulator or auditor will ask about.
Red-team suite
2,400+ adversarial prompts across injection, jailbreak, hate, self-harm, CSAM refusal, and tool-use hijack. Updated weekly.
Demographic audits
NYC LL-144-ready bias audits. Group fairness, intersectional metrics, and counterfactual testing with your data.
OOD & adversarial
Distribution shift, perturbation suites, typographic attacks, and agentic loop detection for long-horizon evaluations.
Leakage & memorization
Probe for training-data leakage, PII memorization, and fine-tune overfit to customer records.
Third-party AI scoring
Supplier questionnaire + automated signals produce a quantitative vendor risk score. Reviewed by Legal in ServiceNow.
Your evals, your data
Upload a dataset, write a rubric, generate a score. LLM-as-judge with quorum + human spot-check.
Scheduler + drift
Nightly runs, per-PR gating, and drift alarms tuned to your baseline. No manual re-runs.
Crosswalked to regulation
Every eval is pre-mapped to EU AI Act, NIST AI RMF, ISO 42001, and SOC 2 Trust Services Criteria.
Model cards auto-generated
Pass a model through the registry; get a signed model card, DPIA draft, and OSCAL control statement.
Answered by the architecture, not the sales deck.
Yes. Every eval run records seed, prompt set version, model version, and environment. Two identical runs produce byte-identical reports — the hash is part of the signed evidence.
Absolutely. Upload your internal prompt set once; it becomes a versioned eval you can schedule, share, and export. Your prompts stay in your tenant — never train our models.
Quorum (≥3 judges from different families) + rubric-pinned scoring + a human-review sample each week. Every decision records which judge, which rubric, and the final seal.
Yes — long-horizon tool-use agents, memory-augmented agents, and multi-agent pipelines. We trace through the agent graph and score per-hop plus end-to-end.