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

LLM Data Leakage Prevention: 10 Best Practices
  • Data Privacy

LLM Data Leakage Prevention: 10 Best Practices

Protect your AI infrastructure with 10 LLM Data Leakage Prevention best practices designed to reduce data exposure and improve AI security....
  • 8 min read
Multi-Agent AI Systems: Beyond the Basics
  • Uncategorized

Multi-Agent AI Systems: Beyond the Basics

Learn how multi-agent AI systems work, why companies like Microsoft use them, and the hidden coordination and security challenges....
  • 8 min read
What is Data Masking
  • AI Security

What is Data Masking

Understand how companies protect customer data, prevent AI leaks, and meet compliance requirements without slowing innovation....
  • 10 min read
Entropy vs. Polymorphic Tokenization
  • Data Tokenization

Entropy vs. Polymorphic Tokenization: Which One Actually Protects Your AI Pipeline?

Choosing the wrong tokenization approach can break your AI workflows. Understand entropy vs. polymorphic tokenization and how Protecto keeps data safe without losing utility....
  • 7 min read
Placeholder Blog image
  • Data Privacy, Privacy Engineering

What is Role-Based Access Control (RBAC)? A Complete Guide

Learn how RBAC secures systems, prevents data leaks, and protects enterprise data with role-based permissions....
  • 8 min read
What Is a Prompt Injection Attack? Explained
  • Data Security, data tool, Personal Data, Privacy Engineering

What is a Prompt Injection Attack?

Learn how hackers trick AI tools into leaking data and how businesses can stop this growing security threat....
  • 12 min read
  • AI Guardrails

Protecting Against Prompt Injection at the Data Layer, Not the Prompt Layer

Prompt injection is often treated as a prompt engineering problem. It is not. When untrusted data is allowed to shape model behavior without clear boundaries, the system becomes fragile. This post explores why defending at the prompt layer is fundamentally reactive, and how shifting protection to the data layer creates a more durable, principled security model for AI systems....
  • 5 min read
AI Data Governance Framework
  • Data Governance

AI Data Governance Framework: A Step-by-Step Implementation Guide

Learn how AI data governance protects sensitive information in dynamic AI workflows. Discover compliance strategies and AI governance solutions for data privacy protection with Protecto....
  • 9 min read
  • AI

Why Confusing ChatGPT and LLMs as the Same Thing Creates Security Blind Spots

Confusing ChatGPT with the broader category of large language models may seem harmless, but it creates real security blind spots. This article breaks down the difference, explains why the distinction matters for risk, governance, and data exposure, and shows how teams can design safer AI systems....
  • 3 min read
  • AI Privacy, AI Security

Designing Tokens That Survive SQL, JSON, Logs, and Prompts with Protecto

Tools like Protecto enforce identity-aware tokenization across apps, data stores, and prompts. Learn how this is done. ...
  • 11 min read
Agentic Data Classification
  • AI Agent, 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....
  • 5 min read
  • AI Guardrails

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

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. ...
  • 5 min read
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....
  • 9 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....
  • 37 min read
Protecto SaaS is LIVE! If you are a startup looking to add privacy to your AI workflows
Learn More