Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

December 2024

Protect Your Data within your Generative AI workflow with Protegrity on AWS Bedrock

Collaboratively authored by Anthony Cammarano, Mario Vargas, Muneeb Hasan, Alexandre Charlet, Andre Castro, Vic Levy, Ken Darker and Iwona Rajca Generative AI (GenAI) applications are revolutionizing how businesses interact with data, primarily through Retrieval-Augmented Generation (RAG) pipelines, combining language models with vast enterprise knowledge bases. These pipelines allow organizations to query extensive internal datasets in real time.
Featured Post

The Key Steps to Ensuring DORA Compliance

As we approach 2025, financial institutions across the EU face the challenge of complying with the Digital Operational Resilience Act (DORA), which is set to take effect on the 17th of January. DORA is focused on strengthening cybersecurity and operational resilience across financial ecosystems, with the consequences for non-compliance ranging from regulatory fines to reputational damage and an increased risk of cyberattacks.

Getting Started with Protegrity's API Playground

For organizations handling sensitive data, finding a secure and efficient way to test data protection solutions is crucial. The Protegrity API Playground offers a straightforward way to test Protegrity’s data protection features. The Playground grants you 10,000 API requests after registration to use as you see fit: protecting names, addresses, credit card numbers – or any other data your organization considers secure.