Skyflow for GenAI
Innovate and train your LLMs quickly without exposing sensitive data or diverting resources from core product focus.
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Top Challenges in GenAI Privacy
Access to Sensitive Data and IP
AI need limits around access and use of sensitive data throughout the entire lifecycles.
Building and Training Safe AI Agents
Businesses must pair models and applications with privacy guardrails to build safe agents.
Compliance and Governance
Staying compliant and in control of data amid growing, nuanced standards around PII is critical.
How Skyflow Helps
Adopt best-in-class models or build your agents while protecting sensitive data to safely improve internal business productivity, external customer experience, and more.
Easily De-identify and Re-identify
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.
Govern Access to Sensitive Data
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.
Radically Simplify Compliance
Adopt up-and-coming legislations quickly while complying with data residency requirements, such as GDPR, the EU AI Act, DPDP, and others.
Build Privacy-Preserving Agents
Detect, isolate, and protect sensitive information flowing into and out of generative AI agents, allowing them to make decisions and execute actions without compromising privacy.
Secure PII Throughout the LLM Lifecycle
Skyflow helps you secure during the end-to-end LLM lifecycle, including training, fine tuning, RAG, data re-identification, and sharing data with third parties and outside models.
Isolate. Protect. Govern.
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.
- Data Residency
- Compliance
- Data Governance
- Tokenization and Polymorphic Encryption
- Data Security
- Secure Data Sharing
- API-first
"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."
Joseph Williams
