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

  • Data Protection, DLP

What Is Data Loss Prevention (DLP)? Types, Use Cases, and Best Practices

Understand data loss prevention (DLP), its meaning, types, use cases, and how modern DLP solutions help enterprises discover, monitor, and protect sensitive data across cloud, AI, and enterprise workflows....
  • 7 min
  • AI Security, Data Security

Principle of Least Privilege: Meaning, Examples, and Implementation for AI Agents

Understand the principle of least privilege, its access control model, real-world examples, and how enterprises implement least privilege for securing AI agents, sensitive data, and modern applications....
  • 7 min
  • PII Masking, RAG

Why Is a Reranker Needed in RAG If We Have a Retriever?

Enterprise RAG pipelines have two stages recall and precision. The retriever handles recall. The reranker handles precision. Skipping the reranker, or misplacing security controls around it, is where most accuracy and data exposure problems begin....
  • 7 min
  • AI Security, Data Security

Attribute-Based Access Control: How ABAC Works, Examples and Use Cases

Attribute-based access control (ABAC) enables enterprises to make dynamic access decisions by evaluating user, resource, action, and environmental attributes. Learn how ABAC works, its policy model, real-world examples, and how it improves security in modern cloud and AI environments....
  • 7 min
  • AI Agent, AI Security, LLM Security

ChatGPT Security Risks for Enterprises: Real Incidents, Controls and Best Practices

ChatGPT security risks for enterprises often begin with the sensitive data employees submit to AI tools. Explore real-world incidents, privacy concerns, data leakage risks, and practical controls for using ChatGPT securely across the organization....
  • 7 min
  • LLM, RAG

Why Your Retriever Matters More Than Your LLM in RAG

Most RAG data exposure happens before the LLM processes a single token. The retriever decides what sensitive data the model sees, and most teams are not securing it. Here is where the gaps are and how to close them....
  • 7 min
  • Agentic AI, PII Masking

From Data Classification to Runtime Data Security for AI

Authentication evolved from a login form to IAM to Zero Trust. Data protection for AI is on the same path. Classification is the login form. Here's what the full runtime architecture looks like, and why it has to be independent of the agent it protects....
  • 11 min
  • Agentic AI, DLP, PII Masking

Sensitive Data Is More Than PII: The Blind Spot in Enterprise AI Security

  • 10 min
  • Data Privacy, Data Tokenization

What Is De-Tokenization? How Does Secure Token Redemption Work for PII and AI Workflows?

Learn what de-tokenization is, how token redemption works, and how data tokenization, reversible tokenization, and token vaults secure enterprise AI....
  • 8 min
  • AI Security, LLM Security

Prompt Sanitization: How to Protect Sensitive Data Before It Reaches an LLM

Learn prompt sanitization, prompt injection prevention, LLM prompt security, AI prompt security, and prompt injection mitigation for enterprise AI....
  • 7 min
  • AI Security, Data Security

AI Data Pipeline Security: How to Protect Personal Data Before, During, and After Model Use

Learn AI data pipeline security, secure AI data pipelines, data protection in AI pipelines, and enterprise AI data security best practices....
  • 7 min
  • LLM, LLM Security

Runtime Security for LLM Applications: How to Monitor Prompts, Context, Tools, and Outputs

Strengthen LLM runtime security with LLM application security, LLM output monitoring, LLM attack prevention, and runtime protection for LLM applications....
  • 7 min
  • AI Privacy, Data Privacy Vault, PII Masking

Global Teams, Local Languages: Closing the Multilingual Privacy Gap

A privacy policy that only works in English isn't a global one. Protecto Vault now detects sensitive data consistently across 7 languages, including Arabic and Japanese, closing a gap most PII tooling never addressed....
  • 5 min
  • AI Security

Membership Inference Attacks in AI: How They Expose Training Data?

Learn how membership inference attacks work, explore membership inference attack risks, and understand privacy attacks in machine learning....
  • 7 min
  • LLM, LLM Security

Model Inversion Attacks in LLMs: What Enterprises Need to Know

Learn about model inversion attacks in LLMs, model inversion attack risks, AI privacy attacks, and ways to protect enterprise AI systems....
  • 8 min