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

  • 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
  • AI Guardrails

We Built Protecto SaaS Because $50K/Month Privacy Tools Didn’t Make Sense for Startups

We built Protecto SaaS because privacy tools shouldn’t require enterprise budgets or multi-month deployments - simple, affordable, and accessible for startups to use on day one, not year three. ...
  • 4 min read
Best Practices for data tokenization
  • AI Privacy, AI Security, AI Trust

Best Practices for Implementing Data Tokenization

Discover the latest strategies for deploying data tokenization initiatives effectively, from planning and architecture to technology selection and integration. Detailed checklists and actionable insights help organizations ensure robust, scalable, and secure implementations....
  • 5 min read
  • AI Guardrails, AI Privacy, AI Security

Stop Gambling on Compliance: Why Near‑100% Recall Is the Only Standard for AI Data

AI promises efficiency and innovation, but only if we build guardrails that respect privacy and compliance. Stop leaving data protection to chance. Demand near‑perfect recall and choose tools that deliver it....
  • 6 min read
types of data tokenization
  • AI Guardrails

Types of Data Tokenization: Methods & Use Cases Explained

Explore the different types of data tokenization, including commonly used methods and real-world applications. Learn how each type addresses specific data security needs and discover practical scenarios for choosing the right tokenization approach....
  • 5 min read
Advanced Data Tokenization
  • AI Privacy

Advanced Data Tokenization: Best Practices & Trends 2025

Enterprises face growing risks from uncontrolled PII spread. This blog explores practical approaches to limit data proliferation, including tokenization, centralized identity models, and governance strategies that strengthen compliance, reduce exposure, and ensure secure handling of sensitive information across systems....
  • 11 min read
Enterprise PII Protection Approaches to Limit Data Proliferation
  • AI Privacy, AI Security

Enterprise PII Protection: Two Approaches to Limit Data Proliferation

Learn how tokenization, centralized identity models, and governance strategies safeguard sensitive data, reduce compliance risks, and strengthen enterprise privacy frameworks in today’s evolving digital landscape....
  • 4 min read
DPDP vs GDPR. What Indian Enterprises Actually Need to Know
  • AI Privacy, Data Compliance, Data Privacy

DPDP vs GDPR: Key Differences for Indian Enterprises

Your company is subject to at least three data privacy frameworks. Here's how they differ, why they conflict, and what you should prioritize first. especially if you're deploying AI....
  • 10 min read
user consent llm privacy
  • AI Privacy

Why User Consent Is Revolutionizing LLM Privacy Practices

Explore the pivotal role of user consent in the future of LLM privacy. This article covers new consent management strategies, best practices for transparency, and how robust user consent policies are transforming ethical AI and regulatory compliance....
  • 7 min read
How Enterprise CPG Companies Can Safely Adopt LLMs
  • AI Compliance, AI Guardrails, AI Privacy, AI Security, AI Trust

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. ...
  • 7 min read
  • AI Agent, AI Privacy, AI Security, AI Trust, Alternatives

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....
  • 12 min read
critical llm privacy risks
  • AI Guardrails

5 Critical LLM Privacy Risks Every Organization Should Know

Using LLMs and GenAI tools for data analysis or report generation can add a number of risks like PII exposure. Learn how using such tools can add risk to your stack and how to mitigate them. ...
  • 9 min read
  • Data Protection

DPDP 2025: What Changed, Who’s Affected, and How to Comply

India’s DPDP Act 2023 nears enforcement, introducing graded obligations, breach reporting, cross-border data rules, and strict penalties. The 2025 draft rules emphasize consent UX, children’s data safeguards, and compliance architecture. Entities must map data flows, minimize identifiers, and prepare for audits, especially if designated as Significant Data Fiduciaries....
  • 8 min read
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