Secure Access to Sensitive Data in Minutes with DataSecOps
Massive Growth in Data Demands New Approach to Security
Your data footprint grows every day with new first-party and third-party data coming in. Your customers have trusted you with their most sensitive personal data about their identity including name, date of birth and social security number and details of their financial lives including credit score, account balances and payment history. As a custodian of the highly sensitive PII and financial data, you must protect it to meet all of the regulatory requirements and honor customer’s privacy preferences, while continuing to provide access to the data for data scientists, analysts and engineers in a timely manner to drive innovation. Satori’s DataSecOps platform is purpose-built to address this challenge.
Why Fintechs and Innovators in Financial Services Love Satori
“What I love about Satori is the way it helps teams work together, not only security and data but throughout the organization, it helps automate data access and prevent ad-hoc work and eliminates the need to manually review and implement every single data access request.”
Chief Privacy Officer
Need to Know Access without Slowing Down Innovation
Accelerate Migration to Cloud with privacy and security for sensitive data
You are moving data and workloads from on-premise to cloud and want to include PII and financial data as a part of the migration. Data scientists want to combine internal PII and financial data with external third-party datasets in the cloud to build new models for customer behavior and improve marketing campaigns, identify areas of improvement for customer services and streamline operations. Satori secures the sensitive PII and financial data while ensuring that data scientists, analysts, and engineers can use the data effectively to drive innovation and growth.
Full audit trail and out-of-box reports for regulatory compliance
As a regulatory compliance leader for your financial services organization, you want the visibility and reporting of where sensitive data is stored, who is accessing it and when it is updated or deleted upon customer request. You need to follow-up with data engineers and platform owners for data store to extract the logs and have the report compiled manually for compliance with various consumer data protection laws including state-wise legislations such as California Consumer Protection Act (CCPA), Virginia Consumer Data Protection Act (CDPA), Colorado Privacy Act(CPA) and international laws such as EU GDPR and China PIPL regulation.
You no longer need to rely on the manual analysis of database logs and ad-hoc compilation of reports that are often plagued with errors and oversights. Satori’s DataSecOps platform tracks every request for data including the user requesting the sensitive data, which fields were included in the request, if the fields were partially or completely masked and which requests were declined due to the data access policy in effect. Satori also provides out-of-box reports tracking sensitive data access across all of your data infrastructure and from every client including all of your BI and Analytics platforms. With Satori, you can find patterns of anomalous behavior in data access, such as an engineer querying the database to access a customer’s full postal address or date of birth, or customer support personnel trying to query large number of customer records with social security numbers, date of birth and other sensitive information.
How Satori Delivers DataSecOps for Financial Services
Discover and tag sensitive PII and financial data continuously
As a data engineering and platform leader, you no longer need to rely on the siloed data classification solutions for each data store or wait till the batch runs to find and tag sensitive PII and financial data. Satori identifies and tags sensitive data regardless of where it resides in your data infrastructure. Satori’s dictionary, pattern matching, rule-based and machine learning algorithms discover and tag sensitive data continuously, with no configuration required from the data team
Add custom classification for sensitive PII or financial data
Satori provides predefined classification taxonomy based on best-practices for protecting sensitive data in financial services. Satori also supports custom classification, so you can identify, tag and protect data types unique for your organization. Data stewards responsible for the data domain can define the custom classifier such as employee id, customer lifetime value(CLV) , identify security policies related to the access for the data and have it applied consistently across all data stores without any additional configuration.
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Mask sensitive data at query run-time with Zero Configuration
No need to create copies of data, custom views, schema or user-defined fields and say goodbye to writing scripts or maintaining custom code for masking or obfuscating sensitive data. Satori frees up data engineering cycles spent on creating and maintaining custom data masking solutions for each store or for each BI and analytics platform accessing the data. Sensitive PII and financial data is masked at query run-time with no changes, customization or configuration required for the data store or the client such as your BI and analytics platform accessing the data.
Implement fine-grained data access policy as a code
Stop wasting valuable time and resources from the data engineering team on finding solutions for each type of security policy needed for each data store – row, column, role or attribute-based access control. Satori delivers the fine-grained security control with an intuitive GUI to configure all of the data access policies. Want to deploy security policies as a code? Satori Terraform Provider is an open-source implementation of the Satori API (which you can find on ) that allows data engineers to implement users’ data entitlements in a declarative way so that data access and security can be automated, replicated, reverted, and integrated into existing data infrastructure deployment processes.
Define the policies once, and have those applied to all your data stores, and across access from all BI and analytics platforms – no need to reinvent the wheel every time!