Privacy Configuration for Dynatrace Session Replay
Configure privacy settings for Dynatrace Session Replay across web, mobile, and SDK apps. Learn to enable flexible masking features to obscure personal info while meeting GDPR compliance.
Securing Non-Production Databases with Data Masking and Subsetting
Protect sensitive data in non-production databases through data masking and subsetting techniques. Learn implementation methods, deployment options, and see a live demo of creating and applying masking formats.
Dynamic Data Masking and Encryption for MySQL/PostgreSQL
Explore dynamic data masking and encryption techniques for MySQL/PostgreSQL databases, focusing on data security, lifecycle management, and Apache ShardingSphere implementation.
Learn Microsoft SQL 2016
Master SQL 2016 with expert tips on row-level security, data masking, encryption, and more. Enhance database management skills through hands-on demos and practical examples.
Considerations for Data Access in Lakehouse Architectures
Explore data access considerations in lakehouse architectures, covering fine-grained controls, row-level segmentation, and BI tool integration for effective data governance and management.
Defining a Data Masking Framework at Scale
Explore tokenization and obfuscation as data security techniques, addressing challenges in implementing large-scale frameworks alongside conventional encryption methods.
Masking Sensitive Data - The New World of Data Privacy
Practical demonstration on automatically masking and refreshing sensitive data in database copies for developers, enhancing data privacy and security in SQL environments.
Data Classification and Masking - The What and How of Data Protection
Learn techniques for protecting sensitive data across systems using SSMS and SQL Server tools. Explore data classification, dynamic and static masking to ensure data security while maintaining accuracy for testing and analytics.
Protect Your Data by Design - Creating a Data Masking Strategy
Learn to create a comprehensive data masking strategy to protect sensitive information, overcome implementation challenges, and ensure data security in pre-production environments.
Training With BertForPretraining
Explore BERT training techniques, focusing on NSP and MLM logic, with practical implementation steps and code examples for effective model fine-tuning.
Training BERT - Train With Masked-Language Modeling
Learn to fine-tune BERT models using masked language modeling in PyTorch for domain-specific NLP tasks, enhancing performance beyond out-of-the-box capabilities.
Techniques for Effective Test Data Management in Test Automation
Master strategies for efficient test data handling in automated testing, enhancing accuracy and streamlining processes.
Black Hat Europe 2024
Black Hat Europe 2024