Protegrity’s Data Security Resources

• Blogs

Quantum, Classic, Still Stupid Data

• • Apr 18, 2025

Summary

• Quantum Disruption Meets Data Type Innovation
  As quantum computing advances, the need to rethink database type systems becomes urgent. This post explores how Protegrity’s concept of an “Uber Type” brings intelligence and context into traditional schemas—strengthening data integrity, trust, and utility across classical and quantum systems.

• Rethinking Security with Encrypted Data Types
  Inspired by real-world challenges and Lord of the Rings analogies, the post introduces a new Encrypted Data Type that embeds identity, classification, and trust directly into data values. It’s a step toward smarter, regulation-aware systems that evolve with both AI and quantum-era demands.

• Blogs

How to Cut PCI DSS Scope and Eliminate Compliance Costs

• • Apr 9, 2025

Summary

• From PCI DSS Strategy to Real-World Execution
  Following our PCI DSS 4.0 webinar, this hands-on guide demonstrates how to reduce compliance scope using Protegrity’s API Playground. Learn how tokenization and data-centric security can remove sensitive PCI data from systems—streamlining audits and strengthening protection by design.

• Build Secure, Scalable Data Flows with Protegrity APIs
  Explore code-based examples for protecting and unprotecting credit card numbers, grouping multi-field requests, and using AI to discover and protect PII. The Playground offers flexible endpoints—/ccn, /multi, /ai—designed for modern data pipelines, automation, and continuous compliance.

• Blogs

Mastering EU AI Act Compliance: Strategies for Data Governance and Security

• • Mar 21, 2025

Summary

• Effective Data Governance and Compliance
  Organisations must adopt robust compliance strategies to align with the EU AI Act’s stringent requirements. This includes implementing data governance frameworks, ensuring data quality and integrity, and leveraging advanced data security solutions to mitigate risks.

• Advanced Security and Scalability
  Balancing scalability with compliance is crucial for efficient data management. Protegrity’s AI-powered security solutions help organisations safeguard data while maintaining performance, enabling a proactive approach to compliance and building long-term trust.

• Blogs

Navigating the EU AI Act: Why Compliance is Key to AI Innovation and Security

• • Mar 21, 2025

Summary

• EU AI Act Compliance Challenges
  The EU AI Act, set to be enforced in 2025, will regulate AI development and deployment to ensure ethical, safe, and transparent usage. Many organisations are still struggling with compliance, as recent tests revealed significant gaps in major AI models, including issues with bias and cybersecurity.

• Strategic Advantages of Early Compliance
  Early compliance not only helps avoid fines of up to €35 million or 7% of global turnover but also builds customer trust and competitive advantage. High-risk AI systems must maintain data security, including encryption and access control, to protect AI outputs and ensure compliance.

• Blogs

PCI Readiness Survey: Key challenges for 2025 

• • Mar 18, 2025

Summary

• PCI DSS 4.0: Rising Complexity & Compliance Gaps
  With stricter security standards taking full effect in March 2025, 64% of organizations cite documentation and encryption updates as major hurdles. Yet, only 32% feel fully prepared, highlighting the urgent need for modernization.

• Beyond Compliance: Strengthening Security & Business Value
  Tokenization leads as the top compliance method (74%), but more companies are layering encryption and format-preserving encryption (FPE). However, only 19% leverage data security for revenue-generating initiatives, missing key growth opportunities.

• Blogs

Data-Centric Security: Protect Your Most Valuable Asset–Your Data

• 5 min • Mar 17, 2025

Data-centric security is essential for modern organizations as traditional perimeter defenses fail to protect sensitive information flowing across cloud platforms, applications, and third-party ecosystems. Protegrity’s comprehensive approach embeds security directly into data through discovery, classification, encryption, and continuous monitoring, enabling businesses to achieve compliance while unlocking the value of their data.

• White Papers

METHODS OF DATA PROTECTION

• 10 min read • Mar 13, 2025

As mobile devices become more common, customers are one click away from entering sensitive information into your website, so brands need to secure their data or risk losing customers.

Data is one of your company's most valuable assets, and therefore should be protected at all costs.

In Methods of Data Protection, you’ll learn about:

• The different protection methods, such as pseudonymization, dynamic data masking, and encryption, which you can use to your advantage

• The importance of protecting data at rest, in transit, and in use while complying with regulations like the Health Insurance Portability and Accountability Act and the General Data Protection Regulation

• What factors to consider when choosing the best data security methods for your company

• Your responsibility to protect customer information as it flows between on-premise and cloud applications

• Blogs

What is PCI DSS?

• • Mar 6, 2025

Summary

• PCI DSS 4.0 & Compliance
  New security controls (MFA, daily log reviews, risk-based pentesting) take effect in March 2025. Compliance is required to avoid fines, reputational damage, and lost payment privileges.

• How Protegrity Helps
  Reduce PCI DSS audit scope with tokenization and centralized policy enforcement. Simplify compliance, cut costs, and maintain business agility across on-prem, cloud, and hybrid environments.

• Blogs

Empowering Data Security in GenAI: Step-by-Step Guide to PII Safeguarding in Bedrock using Protegrity

• 5 min • Feb 24, 2025

This blog outlines how to safeguard Personally Identifiable Information (PII) in Generative AI (GenAI) pipelines using Amazon Bedrock and Protegrity GenAI Security. It covers data tokenization, policy-driven access controls, and PII discovery via Protegrity’s API Playground, ensuring secure and compliant AI workflows. The post also includes a step-by-step code guide to implementing these protections effectively.