Blog under

AI Security

Entropy vs. Encryption: Which Tokenization is Better?
  • AI Privacy, AI Security

Entropy vs. Encryption: Which Tokenization is Better?

Compare encryption-based and entropy-based tokenization for protecting sensitive data in AI systems. Explore how entropy-based methods offer faster performance, reduced risk, and better compliance, making them ideal for modern AI pipelines and privacy-focused architectures....
  • AI Compliance, AI Privacy, AI Security

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
  • AI Compliance, AI Guardrails, AI Privacy, AI Security

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
  • AI, AI Privacy, AI Security

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....
ai privacy and security
  • AI Guardrails, AI Privacy, AI Security

AI Privacy and Security: Key Risks & Protection Measures

AI privacy and security explained: key threats, practical safeguards, and a reference architecture to protect data, models, and outputs across your AI stack....
Best Practices for Protecting Data Privacy in AI Deployment
  • AI Privacy, AI Security

Best Practices for Protecting Data Privacy in AI Deployment in 2025

Use this practical guide to LLM privacy compliance to implement privacy-by-design, data minimization, and lawful data use. It outlines actionable steps to secure AI workflows and ensure audit readiness across ingestion, retrieval, inference, and deletion stages....
  • AI Privacy, AI Security

Why AI Security Breaks Without Context Based Access Control (CBAC)

Explore why traditional RBAC, prompt filtering, and scanning fall short in healthcare AI privacy, and how context-based access control (CBAC) provides stronger safeguards for HIPAA compliance and sensitive data protection. ...
  • AI Guardrails, AI Privacy, AI Security, Alternatives

3 LLMGuard Alternatives: Compare Pricing, Features, Pros, & Cons

Explore top LLMGuard alternatives for AI privacy and security. Compare Protecto, Skyflow, and CalypsoAI to find the best fit for your enterprise’s compliance, context preservation, and runtime defense needs....
  • AI Guardrails, AI Privacy, AI Security

Why Hosting LLMs On-Prem Doesn’t Eliminate AI Risks [And What to do About It]

Think on-prem equals safe? Learn why LLM risks like data leakage, context loss, and audit blind spots still persist, and how to mitigate them. ...
  • AI Privacy, AI Security, Data Privacy, Data Security

Enterprises Are Hesitant to Share Data with LLMs. Here’s Why.

Explore why companies are wary of handing sensitive data to AI models—and what it takes to build trust without compromising compliance....