50% of companies may have to pause or stop their AI/LLM initiatives due to non-compliance with privacy regulations. Build, deploy, and fine-tune LLMs without losing sleep over sensitive data exposure, compliance, or diverting engineering talent away from your core product with a data privacy vault.
See it in action in this 5-minute demo.
Skyflow helps you secure PII throughout the LLM lifecycle.
Complete this form to speak to our LLM and AI privacy experts.
LLMs need limits around access to sensitive data collected during training and prompts.
Businesses want to benefit from 3rd-party models without
exposing PII.
Staying compliant and in control of data amid growing, nuanced standards around PII is critical.
Adopt best-in-class models or build your own while protecting sensitive data to safely improve internal business productivity, external customer experience, and more.
Detect and redact sensitive data and intellectual property automatically during data collection, model training, fine-tuning, RAG, and inference. Easily re-identify the data for use.
Protect sensitive data from unauthorized access, breaches, and data leaks with fine-grained access controls around who gets access to which data and for how long.
Adopt up-and-coming models quickly while complying with data residency requirements, such as GDPR, the EU AI Act, DPDP, and others.
Benefit from advances in public LLMs safely and avoid building or training your own model, which requires vast computational power and engineering hours.
Skyflow helps you secure PII during the end-to-end LLM lifecycle, including training, fine tuning, RAG, data re-identification, and sharing data with third parties and outside models.
Skyflow is a data privacy vault built to radically simplify how companies isolate, protect and govern their most sensitive data. Skyflow customers span verticals like fintech, retail, travel, and healthcare and use the data privacy vault architecture to comply with data residency laws, keep sensitive data out of LLMs, govern access to PII, and more.
"Companies are eager to adopt ChatGPT and other generative AI platforms but they need to solve for privacy and regulatory compliance. Like we laid out in our seminal paper on the future of privacy engineering, data privacy vault architecture is a right way to go about this."