SOC 2 Type II
Continuous Trust Services Criteria attestation across Security, Availability, Confidentiality, and Processing Integrity.
The Platform
Cognizant AI Labs delivers a coherent alignment, evaluation, and safety stack — assembled from four discrete modules and deployed against the operational realities of regulated enterprise AI.
MODULE 01
Foundation-model post-training is the single highest-leverage stage of the modern AI lifecycle. Cognizant AI Labs delivers Reinforcement Learning from Human Feedback as an industrial process, not a crowdsourced overlay. Every reviewer is domain-credentialed, every taxonomy is client-calibrated, every preference pair is auditable.
Our reviewer pools are stratified by language, professional credential, and adversarial-aptitude score. Engagement teams operate under bilateral NDA, sequestered network conditions, and per-batch ethics review.
Outputs ship with preference-pair provenance, reviewer-cohort metadata, inter-annotator agreement statistics, and a sealed audit trail suitable for downstream regulatory filing.
MODULE 02
Static red-team exercises age out within weeks of the next model release. Sentinel operates continuously: a standing reviewer cell mounting structured adversarial probes across prompt-injection, jailbreak, CBRN refusal, agentic misuse, and policy-evasion vectors — recalibrated against each client model revision.
Findings are triaged into severity tiers mapped to NIST AI RMF, the EU AI Act risk classification, and the client's internal incident framework. Remediation guidance is delivered alongside reproducer prompts and severity-scored impact summaries.
Sentinel engagements are scoped under bilateral NDA and operated by reviewers under elevated-clearance background screening.
MODULE 03
Synthetic data is the fastest path to coverage in rare-event domains — and the fastest path to silent model collapse if assembled carelessly. Synthesis Engine generates curated synthetic corpora under explicit provenance, deduplication, and bias-stratification controls.
Every generated record carries a lineage stamp identifying its seed prompt, generator model, reviewer-cohort QA pass, and stratification bucket. Outputs ship deduplicated against a rolling client-supplied negative corpus.
Engagements include a written suitability statement for safety-critical fine-tuning, drafted by Cognizant AI Labs' compliance counsel.
MODULE 04
Multimodal evaluation requires more than reviewers — it requires the right reviewer, on the right modality, holding the right credential, in the right time zone. Evaluation Router orchestrates this routing at industrial volume.
Prompts enter the router with a manifest declaring modality, language, domain, and required credential floor. The router dispatches to qualified reviewer cells, monitors throughput against SLA, and surfaces routing telemetry to the client's program office.
Median turnaround for a ten-thousand-prompt batch is under eighteen hours at the Enterprise tier; sub-six-hour rush windows are available for incident-response evaluation cycles.
Compliance Posture
Continuous Trust Services Criteria attestation across Security, Availability, Confidentiality, and Processing Integrity.
Information Security Management System certification covering Cognizant AI Labs delivery infrastructure.
Artificial Intelligence Management System certification — among the first cohort of attested AI service providers globally.
Business Associate Agreements available for healthcare-sector engagements; PHI workflows isolated to credentialed reviewer cells.
Standard Contractual Clauses, Data Processing Addenda, and EU-resident data-handling pathways available on request.
Article 13 transparency artifacts and Article 15 accuracy-reporting templates ship by default with Enterprise-tier engagements.
Our enterprise engagement desk will return your request within one business day. All inbound inquiries are handled under bilateral non-disclosure as a default posture.