Secure Your Sensitive Data Like Never Before

Benefits of Azure Databricks Confidential Compute:

• Protecting data in memory: With ACC, data can be encrypted in memory, whereby the underlying cloud environment is checked before processing1. This increases the confidentiality and security of your data.
• Use of security and compliance tools: By integrating ACC with Databricks, you can also utilise other security, compliance and data protection products1. This enables a comprehensive solution for your data, analytics and AI needs.
• Anti-Money Laundering (AML): In the age of digital banking, protecting highly sensitive banking transactions is critical. ACC can help combat the growing landscape of money laundering. With Databricks, organisations can implement scalable AML solutions by combining data lakes and data warehouses.
• Fraud prevention: Confidential computing is also essential for fraud prevention. It protects sensitive data, improves security during fraud detection processes and prevents unauthorised access or tampering. Financial service providers can use Databricks Lakehouse to implement machine learning for fraud detection and visualise the data in real time.
• Protecting intellectual property: Organisations with valuable intellectual property can benefit from the advanced security features of confidential computing. This allows them to process even their most sensitive data in the cloud and utilise the full potential of AI.