Get the latest insights on data privacy, security, and more.

Why Protecto Uses Tokens Instead of Synthetic Data
  • Data Tokenization

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....
  • 12 min read
postmark-mcp incident
  • AI, AI Agent, OWASP

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....
  • 38 min read
Protecto Privacy Vault Is Ideal for Masking Structured Data
  • Data Masking, Data Privacy Vault, Data Tokenization

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....
  • 8 min read
owasp top 10
  • Data Security, OWASP

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....
  • 8 min read
  • OWASP

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....
  • 9 min read
  • AI Privacy

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....
  • 6 min read
  • data tool

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....
  • 9 min read
  • AI Privacy, AI Security, Data De-Identification, Data Masking

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....
  • 5 min read
  • AI Privacy, AI Security, AI Trust

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. ...
  • 7 min read
  • AI Compliance

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....
  • 10 min read
privacy first versus privacy later
  • AI Privacy

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....
  • 5 min read
  • AI Agent

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

  • 3 min read
  • AI Privacy, AI Security

PII Detection in Unstructured Text: Why Regex Fails (And What Works)

Regex breaks down the moment PII appears in messy, unstructured text. Real-world conversations, notes, and documents require context-aware detection. In this article, we explore why regex fails, what modern NLP-based approaches do differently, and how teams can achieve reliable, audit-ready PII protection....
  • 7 min read
Why AI Privacy is a Competitive Advantage
  • AI Privacy

Why AI Privacy is a Competitive Advantage (Not Just Compliance)

Learn how privacy builds customer trust, enables access to better training data, attracts investor confidence, and why early privacy adoption makes scaling smoother and more cost‑effective. ...
  • 7 min read
Overcoming the Challenges and Limitations of Data Tokenization
  • AI Privacy, AI Security

Overcoming the Challenges and Limitations of Data Tokenization

Analyze the most pressing challenges and known limitations in data tokenization, from technical hurdles to process complexity and scalability. Gain solutions and mitigation strategies to ensure effective and secure data protection deployments....
  • 8 min read
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