Immuta for Manufacturing & Supply Chain
The manufacturing industry relies on automation and efficiency to keep supply chains running. And manufacturers around the world rely on Immuta to make sure they can access and utilize data without compromises or delays.
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Discover
Discover sensitive data from millions of fields without manual effort, and apply 60+ prebuilt classifiers alongside domain-specific and custom classifiers. Assess your sensitive data footprint by tagging information like PII and PHI, and allow teams to approve classification tags through workflows.
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Secure
Build data policies in plain language or as-code, and automatically enforce them in real time across teams and regions. Immuta's attribute-based access control (ABAC) delivers scalable data access without the challenges of role explosion. By federating governance, you can easily implement modern architectures like data mesh.
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Detect
Leverage timely insights into data access and user activity with anomaly indicators for faster analysis and risk remediation. Immuta enables data security posture management via an analysis engine with sensitivity level and risk profile indicators to safeguard and mitigate threats, in addition to notifications, alerts, and audit reports.
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Databricks opens up many opportunities for self-service data analytics, data science, and enterprise reporting. Paired with Immuta, we can make all our data available to all types of business analysts, data scientists, and data engineers.
Ajay Sahu Director of Enterprise Data Management, J.B. Hunt
Demand Planning & Forecasting
Manufacturers leverage sales data, customer information, and market insights to accurately forecast demand and plan for inventory needs. To make this process run smoothly, data must be accurate and accessible to the right teams at the right times and for the right reasons.
Inventory Management
Inventory data like stock levels, reorder points, and on-hand product valuation can be a goldmine for motivated attackers. Controlling access to data in inventory management systems and identifying suspicious behavior help ensure this information isn’t compromised.
Lifecycle Management & Predictive Maintenance
Manufacturers often use in-product data to detect maintenance needs, performance issues, and opportunities for enhancement. When this data is gathered from privately owned machines or equipment, manufacturers must ensure that they are acting under the least privilege principle.
Supplier Collaboration
Manufacturers and suppliers frequently share sensitive data like pricing, contract agreements, and IP. Throughout the data sharing process, both parties must ensure that communication pathways are secure and only authorized users have access to the data.
Quality Control & Traceability
Quality control processes like product testing, inspections, and feedback surveys provide manufacturers with valuable information about their systems’ integrity and reliability. In the wrong hands, this data could inadvertently expose trade secrets and supply chain vulnerabilities.
Regulatory Compliance & Reporting
In addition to the GDPR and HIPAA, manufacturers are subject to industry standards like ISO 9001 and EU REACH Regulation. Protecting the environmental data, safety documentation, audit reports, and personnel information covered by these regulations is essential to achieve compliance.
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