Category: Blogs
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PCI Readiness Survey: Key challenges for 2025
The Payment Card Industry Data Security Standard (PCI DSS) has been a critical framework for protecting cardholder data for the last two decades. It’s also presented a major — and gradually rising — compliance challenge for organizations that handle cardholder data. That challenge is set to ramp up significantly in the coming months, as security…
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Data-Centric Security: Protect Your Most Valuable Asset–Your Data
You’re sitting in your office, staring at a screen filled with data. Customer information, financial records, sensitive business intel – it’s all there, flowing through your systems like digital lifeblood. That data, however, isn’t just sitting behind your firewall anymore. It’s zipping across cloud platforms, being crunched by AI models, and shared with partners across…
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What is PCI DSS?
Introduction to PCI DSS 4.0 The Payment Card Industry Data Security Standard (PCI DSS) is a global security framework established by major credit card brands that outlines security requirements for any organization handling cardholder data, including encryption, access control, and network security. PCI DSS is regularly updated, and Version 4.0, effective March 2025, focuses on…
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Empowering Data Security in GenAI: Step-by-Step Guide to PII Safeguarding in Bedrock using Protegrity
Introduction Generative AI (GenAI) applications, especially through Retrieval-Augmented Generation (RAG) pipelines, are transforming business interactions with data. These pipelines leverage language models and extensive enterprise knowledge bases for real-time queries of large internal datasets. Robust data privacy and security solutions are essential. Amazon Bedrock’s native security guardrails address this need. Protegrity, known for protecting sensitive…
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Data Security Platforms Are Essential for Modern Businesses
Data Security Platforms Matter The way we think about data security is changing. Organizations need to protect sensitive information while still making it accessible for innovation and business growth. But as cyber threats grow more sophisticated and regulations become more stringent, security teams face a major challenge. This is where Data Security Platforms (DSPs) come…
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Fortifying Data Security: How Protegrity Aligns with NIST Standards
The National Institute of Standards and Technology (NIST) is a U.S. government agency that develops and promotes standards, guidelines, and best practices to enhance information security and privacy. Recognized globally, NIST frameworks set the benchmark for building secure systems and managing cybersecurity risks. At Protegrity, we align our platform with these trusted standards to help…
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Protegrity Welcomes Michael Howard as New CEO: Accelerating Innovation in AI Data Protection
STAMFORD, CT – January 14, 2025 Protegrity Names Silicon Valley Veteran Michael Howard as CEO Protegrity, a global leader in data security and privacy, today announced Michael Howard as Chief Executive Officer. Marked by a proven track record of driving innovation and transforming businesses into global powerhouses. Howard’s experience across enterprise software, specializing in database management,…
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The U.S. Cyber Trust Mark: A Shield for Your Smart Life
Written by Alex Afflerbach with contributions by Clyde Williamson. Let’s be real: your “smart” devices might be the dumbest thing in your house when it comes to your data protection and security. That baby monitor? Hackable. Your home camera? Vulnerable. Even your voice assistant could be spilling secrets you didn’t know it heard. And what…
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Securing Healthcare Data in the Cloud: Navigating Challenges and Best Practices
Attributed to Michael Pride, Senior Sales Director – APAC, Protegrity In recent years, Australia’s healthcare sector has faced significant challenges regarding data privacy. With high-profile breaches exposing sensitive patient information, the responsibility for safeguarding this data has shifted from individuals to organisations. As we approach 2024, understanding the evolving data privacy landscape is crucial for…
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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…