SafeLiShare Introduces ConfidentialRAG Private Beta at RSA Conference 2024
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The World’s Safest Place
for Data + AI Collaboration.

Models break. Data leaks. Get the highest defensible risk posture in data sharing and collaboration where models and data are always protected.

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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?

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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?

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Done with data
or models
you can’t trust?

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.

Trusted Environments

Process workloads shared by mutually untrusting parties in encrypted compute environments

Auditability

Generate cryptographically signed verifiable tamper proof logs

Trackability

Log all events, actions and accesses by applications and models

Visibility

Define policies around access, usage, and distribution of your models and data

Compliance

Share data and code assets across business functions without losing policy control

Productivity

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.

Experience secure collaborative data sharing today.

Maximize accessibility and monetization of sensitive, regulated, or confidential data without compromise.