Protecto

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Protecto is an AI Data Security & Privacy platform trusted by enterprises across healthcare and BFSI sectors. We help organizations detect, classify, and protect sensitive data in real-time AI workflows while maintaining regulatory compliance with DPDP, GDPR, HIPAA, and other frameworks. Founded in 2021, Protecto is headquartered in the US with operations across the US and India.
Protecto is now integrated with NetScaler AI Gateway
  • Corporate News, PII Masking

Protecto is now integrated with Citrix NetScaler AI Gateway

Citrix launched NetScaler AI Gateway this week, a new AI governance layer built directly into the NetScaler platform. Protecto is one of two security vendors named in the official announcement as a built-in integration partner....
  • 3 min read
Mask Sensitive Data in Logs: A Complete Guide for Secure Logging
  • Data Security, Protecto

Mask Sensitive Data in Logs: A Complete Guide for Secure Logging

Learn how to mask sensitive data in logs to prevent leaks, ensure compliance, and protect user privacy with simple, effective strategies....
  • 7 min read
  • Protecto

AI Agent Data Leakage: Hidden Risks and How to Prevent Them

AI tools can expose your data unknowingly. Learn how AI data leakage happens and how to prevent costly security breaches....
  • 7 min read
Protecto x Google Cloud
  • AI, Corporate News, Data Privacy Vault

Agentic Context Security Platform Protecto is Now Available on Google Cloud Marketplace

Protecto Vault is now available on Google Cloud Marketplace. Deploy context-preserving PII/PHI masking for AI agents directly in your GCP environment — HIPAA, GDPR & CCPA compliant....
  • 6 min read
synthetic data for AI vs masked real data comparison chart
  • AI, Data Masking, Mock Data

Synthetic Data for AI: 5 Reasons It Fails in Production

Synthetic data for AI looks fine in dev — until it hits production. Learn why real masked data beats synthetic for AI testing, RAG, and agent workflows....
  • 11 min read
  • AI Agent, Case Study

How a Fortune 50 Company Deployed Agentic AI at Scale Without Losing Control of Their Data

AI agents that access multiple data sources need more than authentication. This Fortune 50 case study shows how Protecto added policy-driven data control on top of Active Directory to protect PII and sensitive business data across agentic AI workflows....
  • 8 min read
Entropy vs. Polymorphic Tokenization
  • Data Tokenization

Entropy vs. Polymorphic Tokenization: Which One Actually Protects Your AI Pipeline?

Choosing the wrong tokenization approach can break your AI workflows. Understand entropy vs. polymorphic tokenization and how Protecto keeps data safe without losing utility....
  • 7 min read
postmark-mcp incident
  • AI, AI Agent, OWASP

When Your AI Agent Goes Rogue: The Hidden Risk of Excessive Agency

Discover how excessive agency in AI agents creates critical security risks. Learn from real-world attacks and how to build safe, autonomous AI systems....
  • 37 min read
privacy first versus privacy later
  • AI Privacy

Privacy First vs. Privacy Later: The Cost of Delaying in the AI Era

In the AI era, delayed privacy turns into compounding technical debt, regulatory exposure, and brittle systems that are painful to unwind. This post breaks down why privacy-first design is no longer optional, and what it really costs when teams wait....
  • 5 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
Protecto Vault is LIVE on Google Cloud Marketplace!
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