Skyflow helps you secure PII throughout the LLM lifecycle.
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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.
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.
"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."