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“Skyflow is already making us more efficient. Engineers can focus on delivering business outcomes while governance, privacy, and security become available out of the box. It helps us scale.”
Pramod Raghavendran, Director - Customer Data & Privacy at Walmart
"With Skyflow’s zero-trust vault architecture, we can isolate, protect and govern Pll in Databricks & BigQuery."
Nitin Shingate, CTO, GoodRx
“We were up and running on Skyflow in just hours, rather than the months it would take to build and implement even a fraction of this data privacy rigor.”
Boe Hartman, Co-Founder, CTO at Nomi Health
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“It would take 3 engineers at least 6–12 months to build the basics of this solution internally, and 2 engineers to maintain it. At the end of the day, building in house would have drastically slowed our time to market. Skyflow made everything easy.”
Johnny Mitrevski, CTO, Scalapay
Protect PII and govern the flow of sensitive data across your entire technology stack with global policies and granular access controls. Keep data encrypted at rest, in transit, and in memory.
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Skyflow’s polymorphic encryption allows you to protect data privacy without sacrificing data usability for distributed teams like data science, marketing, and customer service.
Offload compliance requirements by removing all PCI data from your environment. Replace disparate point solutions with a single vault, allowing you to modernize your payment stack, decrease fraud, and control your own payment data.
Identify and redact sensitive information and intellectual property during Large Language Model (LLM) data collection, training, fine tuning, and inference.
Detect and de-identify sensitive data during collection and processing. Safely train and fine tune LLMs in regulated industries.
Protect sensitive data while allowing teams across your organization to safely operationalize it without ever needing to decrypt.
Set global granular access policies for all PII. Audit and log every action in your vault automatically and demonstrate compliance with ease.
Protect privacy during inference by de-identifying sensitive data, storing it securely, and re-identifying it for authorized users.
Run workflows to de-identify data, execute custom code, and share with third-parties, all within a secure and compliant environment.
Remove all PII from your infrastructure and replace it with tokens, eliminating the impact of a data breach.
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