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Agentic Data Classification

Agentic Data Classification: A New Architecture for Modern Data Protection

Discover how agentic data classification replaces rigid, model-centric systems with adaptive, intelligent orchestration for scalable, context-aware data protection....

A Step-by-Step Guide to Enabling HIPAA-Safe Healthcare Data for AI

Learn how to enable HIPAA-safe AI in healthcare with a step-by-step approach to PHI identification, masking, access control, and auditability. Build compliant AI workflows without slowing innovation....

How Protecto Delivers Format Preserving Masking to Support Generative AI

Protecto deploys a number of smart techniques to secure sensitive data in generative AI workflows, maintaining structure and referential integrity while preventing leaks or false semantics. Read on to know how. ...
Why Protecto Uses Tokens Instead of Synthetic Data

Why Protecto Uses Tokens Instead of Synthetic Data

Learn why Protecto uses tokens instead of synthetic data to prevent behavior-altering bugs, false data assumptions, and privacy breaches in production systems....
postmark-mcp incident

When Your AI Agent Goes Rogue: The Hidden Risk of Excessive Agency

Discover how excessive agency in AI agents creates critical security risks. Learn from real-world attacks and how to build safe, autonomous AI systems....
Protecto Privacy Vault Is Ideal for Masking Structured Data

Why Protecto Privacy Vault Is Ideal for Masking Structured Data

Learn how Protecto Privacy Vault masks PII in structured data while preserving schemas, joins, and ETL pipelines. Type-preserving tokenization for databases....
owasp top 10

Sensitive Data Is the Common Thread Across Most OWASP Top 10 Issues. Here’s Why

Sensitive data is the real target behind OWASP Top 10 issues. Learn why these security flaws matter and how they lead to breaches....

How OWASP Top 10 Maps to Data Exposure Risks: 5 Hidden Threats Explained

See how each OWASP Top 10 category turns into data exposure: access gaps, weak crypto, misconfig, and silent logging mistakes. Practical fixes, checklists, and safe analytics patterns. Tokenize, encrypt, and monitor....

Unlocking AI Data Security: Strategic Solutions

Learn what AI data security actually means in practice, where teams tend to struggle, and the strategic solutions that work for modern AI systems....

The Hidden Costs of Building Your Own Data Masking tool

Explore the hidden costs of building your own data privacy tool to understand the full scope of ownership before committing....

Why Preserving Data Structure Matters in De-Identification APIs

Whitespace, hex, and newlines are part of your data contract. Learn how “normalization” breaks parsers and RAG chunking, and why idempotent masking matters....

Regulatory Compliance & Data Tokenization Standards

As we move deeper into 2025, regulatory expectations are rising, AI workloads are expanding rapidly, and organizations are under pressure to demonstrate consistent, trustworthy handling of personal data. Learn how tokenization reduces risk, simplifies compliance, and supports scalable data operations. ...

GDPR Compliance for AI Agents: A Startup’s Guide

Learn how GDPR applies to AI agents, what responsibilities matter most, and the practical steps startups can take to stay compliant with confidence. Think of it as a blueprint for building trustworthy AI without slowing innovation....
privacy first versus privacy later

Privacy First vs. Privacy Later: The Cost of Delaying in the AI Era

In the AI era, delayed privacy turns into compounding technical debt, regulatory exposure, and brittle systems that are painful to unwind. This post breaks down why privacy-first design is no longer optional, and what it really costs when teams wait....

OWASP Agentic AI Top 10: Why It Matters and How Protecto Reduces Real-World Risk

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