Mayank Ranjan

Technical Content Writer

Mayank Ranjan is passionate about building secure and scalable AI systems. He works with product and engineering teams to identify hidden AI risks from prompt injection to data exposure, and turns security into a proactive infrastructure layer rather than a reactive patch. Through LangProtect, he helps teams deploy AI with confidence, control, and clarity.

More From Mayank Ranjan

Is Your Employees' AI Usage Leaking Company Data?

Featured

AI Data Protection

Is Your Employees' AI Usage Leaking Company Data?

Employee AI usage has become one of the largest unmanaged enterprise data exposure risks in 2026. Employees routinely paste source code, customer records, financial data, and internal documents into AI tools through personal accounts that bypass enterprise logging and security controls. Traditional SIEM, DLP, and endpoint tools cannot inspect prompt-level interactions, creating a visibility gap that regulators increasingly treat as a governance failure. Effective mitigation requires continuous AI discovery, semantic prompt classification, real-time enforcement, and tamper-proof audit logging at the interaction layer.

Product Overview

Use Cases

Industry

Mayank Ranjan

More From Mayank Ranjan

Is Your Employees' AI Usage Leaking Company Data?

Is Your Employees' AI Usage Leaking Company Data?

What is Shadow AI and Why It's Costing Enterprises Millions

OAuth Supply Chain Attacks on AI: Lessons from the Vercel Breach

What Does AI Governance Actually Require in 2026?

Vibe Coding Is a Security Liability: What Legal Tech Must Know

What Is AI Washing? The SEC Enforcement Risk Fintech Can't Ignore

AI Security Architecture for Multi-LLM Environments

Why AI Requires a New Security Layer Beyond Traditional Controls

AI Usage Audit Logs: Why CISOs Need Full Visibility

Real-Time Prompt Filtering: The New Era of AI Data Security

OWASP Top 10 for LLMs: 10 Critical Risks Every CEO Should Know

How Prompt Injection Attacks Threaten the Integrity of AI Responses

Responsible AI Security Framework: Building Trustworthy AI

The Ethics of AI Security: Balancing Privacy and Protection in 2026

Responsible AI Security: The Enterprise Blueprint for Secure LLM Deployment

Managing AI Risks in Fintech: How to Avoid a $1M Non-Compliance Penalty

AI in the Cloud: How to Prevent Data Leaks in a Shared World

Why AI Agents Increase Security Risk (And How to Control Them)

Prompt Injection Explained: How Hackers Trick AI Systems

Securing AI Agents in Healthcare: Protecting Patient Data from Silent Leaks

AI Chatbots in Healthcare: Security Risks You Can’t Ignore

The Illusion of Enterprise Safety: Why Sanctioned LLM Accounts Still Leak Patient Data