With nearly all data sets in companies' possession containing some form of sensitive data, teams are looking for ways to ensure that the use of these data sets with GenAI is compliant with privacy regulations. Learn best practices for protecting your private data when using it with GenAI.
With Amazon Relational Database Service for MySQL, companies have great choices for a managed database service at the core of their application. With Baffle Data Protection for Databases, they are also able to protect their data even better than an on-prem deployment and meet their security and compliance requirements in the shared responsibility model.
Analyze encrypted data without ever seeing the data in clear text. Encrypting data ensures data is protected, even downstream. But, data teams are unable to perform operations on protected data that use traditional encryption methods. The solution is cryptographic protection that follows regulated data while allowing any and all analytical and operational computations on the data.
AWS Redshift makes it easy to analyze structured and semi-structured data with the best price performance at any scale. But, with the rise of data privacy regulations worldwide, companies need to ensure their queries don’t violate compliance.
Get more flexibility, improved cost-efficiency, and better security with AWS + Baffle. With Amazon Relational Database Service - PostgreSQL, companies have great choices for a managed database service at the core of their application. With Baffle Data Protection for Databases, they are also able to protect their data even better than an on-prem deployment and meet their security and compliance requirements in the shared responsibility model.
Learn how Saxo Bank, a provider of an online trading platform, addressed Multi-tenant Database Security (MTDS) to ensure their customers can meet their compliance obligations. MTDS, with Record-level Encryption (RLE), ensures that each customer’s data is secured cryptographically.
EMA analyst and managing director Chris Steffen joins Baffle CEO Ameesh Divatia to share insights and best practices employed by leading organizations to not only accomplish strong privacy and compliance, but also achieve competitive differentiation as a result.
Learn how modern data protection approaches and technologies can be used to easily de-identify and re-identify Kafka data streams to share sensitive information securely between internal and external audiences and data domains.
Get insights on best practices and lessons learned for securing sensitive data as it migrated to the cloud and used in data pipelines.
Attend this webinar to learn how data can be easily de-identified on-the-fly as part of your data pipeline process as it is staged for use in Amazon Redshift or cloud data lakes.
Learn how data can be easily de-identified as part of your data pipeline as it is staged for use in Snowflake or Amazon Redshift.
A review of risk and responsibility models will be provided along with an examination of how data distribution and cloud deployments can further exacerbate the challenge of securing data.
This webinar provides an overview of a new threat model for data and helps identify key risks to data security that may be commonly misunderstood or overlooked.
Learn about different tokenization and data encryption techniques and see how you can stand up a demo of Baffle's Data Protection Services in conjunction with AWS RDS and AWS KMS in a matter of minutes.
Learn how you can establish an S3 cloud data lake fully de-identified and use AWS Athena to easily access and run analytics on data sets for authorized users.
Learn how data can be easily de-identified, tokenized or encrypted inside S3 objects to help prevent data leakage while still enabling analytics teams to leverage the scale of cloud infrastructure.
This webinar will provide an overview of threat intelligence sharing across multiple parties using privacy preserving analytics to secure the data, while still allowing organizations to query a shared data store.
Learn how you can perform analytics and share data while still ensuring the appropriate level of data security and privacy.
Examine the impact of the CCPA, answer your burning questions, uncover the CCPA’s nuances, and address its ambiguities and challenges.
Learn about new techniques that allow for data minimization to simplify the compliance effort with minimal impact to the business.
Learn more about how Baffle implements its "no code" encryption approach to protect data at the field or record level.
Learn how you can implement record level encryption with data shredding techniques in a simplified manner without modifying applications.
Learn how you can support development teams and secure production data in the cloud at the same time.
Learn about how you can simplify protection and security of data IN cloud to accelerate your "lift and shift" and still ensure compliance.
The session will provide an assessment of cryptographic techniques and live demonstrations to show how advanced encryption can protect your sensitive data without breaking application functionality for your business.