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AI

How Enterprise CPG Companies Can Safely Adopt LLMs

How Enterprise CPG Companies Can Safely Adopt LLMs Without Compromising Data Privacy

Learn how publicly traded CPG enterprises overcome data privacy barriers to unlock LLM adoption. Discover how Protecto's AI gateway enables safe AI implementation across marketing, analytics, and consumer experience. ...

Comparing Best NER Models for PII Identification

Enterprises face a paradox of choice in PII detection. This guide compares leading models - highlighting strengths, limitations, and success rates to help organizations streamline compliance and anonymization workflows....
LLM privacy audit framework

Mastering LLM Privacy Audits: A Step-by-Step Framework

Get practical steps, evidence artifacts, and automation strategies to ensure data protection, regulatory compliance, and audit readiness across ingestion, retrieval, inference, and deletion workflows....

Understanding the Impact of AI on User Consent and Data Collection

Explore how AI transforms user consent and data collection, emphasizing the need for clearer, ongoing, and granular consent. Understand legal expectations, privacy-by-design strategies, and practical frameworks to ensure ethical, transparent, and compliant AI data practices at scale....
Data Sovereignty in the Age of AI

Data Sovereignty in the Age of AI: Why It Matters and How to Get It Right

Discover how data sovereignty impacts AI and LLM deployments across borders. Learn why traditional compliance models fall short and how Protecto ensures privacy, localization, and regulatory compliance for global AI operations....
Is ChatGPT Safe

Is ChatGPT Safe? Understanding Its Privacy Measures

This guide explores ChatGPT's data privacy and security practices, answering questions about data retention, user privacy, and overall safety. It clarifies how information is stored and protected on the ChatGPT platform....
Regulatory Frameworks Affecting AI and Data Privacy

Regulatory Frameworks Affecting AI and Data Privacy Explained

Get a practical roadmap for achieving LLM privacy compliance in 2025 with key strategies like data minimization, lawful processing, and audit readiness, helping organizations secure AI workflows across ingestion, retrieval, inference, and deletion stages....

AI Data Privacy Regulations: Legal and Compliance Guide

Understand the most relevant ai data privacy regulations now in play, explains what they require in practice, and shows how to translate them into a compact set of technical safeguards you can run every day. ...

Context-Aware Tokenization: How Protecto Unlocked Safer, Smarter Healthcare Data Analysis

Why random tokenization fails and how Protecto’s context-aware approach keeps datasets readable, AI-ready, and compliant for smarter healthcare analytics....

Why RBAC Doesn’t Work with AI Agents [And How to Fix It]

Traditional access control fails in AI systems. Find out why RBAC breaks down with LLMs and what privacy guardrails you need instead....