Anwita

LinkedIn

B2B SaaS | GRC | Cybersecurity | Compliance
owasp top 10

Sensitive Data Is the Common Thread Across Most OWASP Top 10 Issues. Here’s Why

How OWASP Top 10 Maps to Data Exposure Risks: 5 Hidden Threats Explained

See how each OWASP Top 10 category turns into data exposure: access gaps, weak crypto, misconfig, and silent logging mistakes. Practical fixes, checklists, and safe analytics patterns. Tokenize, encrypt, and monitor....

Unlocking AI Data Security: Strategic Solutions

Learn what AI data security actually means in practice, where teams tend to struggle, and the strategic solutions that work for modern AI systems....

The Hidden Costs of Building Your Own Data Masking tool

Explore the hidden costs of building your own data privacy tool to understand the full scope of ownership before committing....

Regulatory Compliance & Data Tokenization Standards

As we move deeper into 2025, regulatory expectations are rising, AI workloads are expanding rapidly, and organizations are under pressure to demonstrate consistent, trustworthy handling of personal data. Learn how tokenization reduces risk, simplifies compliance, and supports scalable data operations. ...

GDPR Compliance for AI Agents: A Startup’s Guide

Learn how GDPR applies to AI agents, what responsibilities matter most, and the practical steps startups can take to stay compliant with confidence. Think of it as a blueprint for building trustworthy AI without slowing innovation....

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....
Why AI Privacy is a Competitive Advantage

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. ...

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. ...

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....
Protecto SaaS is LIVE! If you are a startup looking to add privacy to your AI workflows
Learn More