Exhausted on predicting cloud egress cost?
Data analysts: It’s virtually impossible to predict the data egress charge without running the computation. How about keeping the data where it is and just bring models to data?
Sick of not knowing where the leakage is from?
Security IT: Lift and shift cloud migration can put PII/PHI data at risk, challenging the resources that locate root cause. Wouldn’t it be great to have privacy by design and encrypt everything when collaborating?
Executives: did you know that bad models and data cost companies millions of dollars per year? Imagine you can share and monetize data assets with any untrusted parties without making compromises.
Data governance and sharing
Unify governance and sharing for data, analytics and models
Streamline your model training and serving with absolute data privacy control. Learn more about how SafeLiShare brings security and accelerates AI/ML across the entire lifecycle.
Process workloads shared by mutually untrusting parties in encrypted compute environments
Generate cryptographically signed verifiable tamper proof logs
Log all events, actions and accesses by applications and models
Define policies around access, usage, and distribution of your models and data
Share data and code assets across business functions without losing policy control
Use secure enclave technology to reduce IT operating costs by not needing to de-identify sensitive data
Centralized AI and data governance
An AI and data governance platform drives transparent, explainable, and auditable artificial intelligence workflows
Operationalize AI governance
Trace machine-generated logs on the origin and destination of data assets, models, associated metadata and pipelines at scale.
Protect against illegitimate access
Use secure enclave isolation to prevent unauthorized entity to access model tuning and produce real-time and tamper-proof audit logs
Optimize AI model planning, training, and serving
Increase ITSM efficiency and create balance across AI model identities, access controls and sharing designation.
Satisfy ever-increasing stakeholders
Automated and collaborative approaches to shorten processes and increase federated AI lifecycle visibility.
Eliminate Data Exposure Risk
Run your applications and process your data with privacy, making them invisible to attackers, insiders, supply chain compromises, and even cloud providers.
Foster Data Sharing without Losing Ownership
Build and sell a product with enhanced security and privacy features. Share data externally and generate more measurable economic benefit with complete data residency.