Harden security to data foundation for Manufacturing
A single, integrated data security solution for your distributed manufacturing at scale. SafeLiShare’s SafeStream automates the configurable security insertion for all your plant’s crown jewels.
Policy-Enforced, Encrypted, Secure Data Platform
To unlock value by sharing data, modern smart manufacturing industry is on the verge of a data-driven revolution. Companies in hyperconnected value networks can safely collaborate on proprietary data and application workloads with complete data privacy, residency, sovereignty and compliance control transparently. Encrypt all data in use, in transit and at rest.
Power boost Hybrid Cloud Data Security Strategies
Prevent Data and Algorithm Theft
Provide actionable insights in full hardware-based trusted environments regardless of cloud platform of choice. Secure model’s intellectual properties and data from 3rd party unauthorized supply chain attacks.
Centralized control and visibility into distributed operations
Enable data-driven operations with consistent data tagging, provisioning, and policy enforcement across multiple cloud platforms and services. Simplify data access management, reduce risk, and dramatically accelerate data access for the mission.
Federated learning for autonomous data excellence
In secure enclaves, manufacturers can run and enable self-optimizing systems with full access control without compromise that take autonomous action through self-learning self-steering algorithms, with input from historical and real-time data.
Know who & what app is processing your data
Prove compliance with laws and regulations, including DoD Directives, Intelligence Community Directives (ICDs), data use agreements, privacy laws, PII/PHI regulations, etc. Leverage advanced auditing and granular reporting to get full visibility into who accessed what data, when, and for what purpose.
“SafeLiShare validates Zero Trust with privacy by design and provides hardware root of trust, allowing organizations to verify that their data is being securely processed.”
Dr. Chase Cunningham, Co-founder and CEO
Sight Machine
People also ask
Who is responsible for ensuring compliance with data sharing regulations in manufacturing?
What are some examples of successful data collaborations within the semiconductor value chain?
How can CHIPS for America Act & FABS Act benefit the adoption of Confidential Computing?
Additional materials
February 21, 2024
Cloud Data Breach Lifecycle Explained
During the data life cycle, sensitive information may be exposed to vulnerabilities in transfer, storage, and processing activities.
February 21, 2024
Bring Compute to Data
Predicting cloud data egress costs can be a daunting task, often leading to unexpected expenses post-collaboration and inference.
February 21, 2024
Zero Trust and LLM: Better Together
Cloud analytics inference and Zero Trust security principles are synergistic components that significantly enhance data-driven decision-making and cybersecurity resilience.
Experience secure collaborative data sharing today.
Maximize accessibility and monetization of sensitive, regulated, or confidential data without compromise.