Data Privacy Risk
Sending audit evidence to third-party APIs violates data residency requirements
Fine-tune Small Language Models on your proprietary compliance and security data. Better accuracy than GPT-4 on domain tasks. Your data never leaves your cloud.
7B & 35B
Dual model architecture for speed and depth
<80ms
Inference latency on compliance queries (7B)
100%
Data stays within your cloud boundary
Sending audit evidence to third-party APIs violates data residency requirements
General LLMs hallucinate on specific compliance frameworks like HIPAA §164.312 or PCI DSS Req 8.3
GPT-4 API costs and latency are unsustainable at enterprise audit scale
The CogniTune Architecture
Connect your compliance data sources (SIEM, ticketing, cloud logs, policy docs)
CogniTune trains on your proprietary data using LoRA/QLoRA on GPU infrastructure
Serve fine-tuned adapters via NVIDIA Triton Inference Server in your cloud boundary
Plug into CogniAudit or your existing tools via REST API
Automatically map security events to Annex A controls
Tag and classify audit evidence across Trust Service Criteria
Answer complex HIPAA §164 questions with cited regulatory text
Identify control gaps across all 12 PCI DSS requirements
CogniTune is currently in development. Join the waitlist for early access, GPU credit partnerships, and design partner pricing.
No credit card required
Enterprise SLAs available
SOC 2 Compliant Infrastructure