API Security & Data Protection Blog

Guides, best practices, and product updates on securing API traffic, detecting sensitive data, and staying compliant.

Route Claude Code Through Grepture — Observability, Cost Tracking, and PII Protection for Your Team

You can now route all Claude Code traffic through Grepture. See every request, track token costs per developer, and protect sensitive data — with a 2-minute setup.

Ben @ Grepture

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Prompt Management: Version Control for Your LLM Prompts

Store, version, and serve prompts through Grepture — with variables, conditional logic, instant rollback, and full traffic visibility.

From PII Redaction to AI Gateway — Why We're Expanding Grepture

We started by catching sensitive data before it reaches an LLM. Now we're building a unified AI gateway with prompt management, tracing, a browser extension, and a CLI — here's why.

Indirect Prompt Injection: The Attack That Hides in Your Data

Direct prompt injection is obvious — a user types something malicious. Indirect injection is invisible: poisoned documents, emails, and web pages that hijack your AI when it reads them. Here's how it works, real incidents, and how to defend against it.

Your LLM Observability Tool Is Logging PII — Here's How to Fix It

Every LLM observability platform captures full prompts and completions by default. If your prompts contain PII, you're now storing personal data in a third-party system you probably didn't include in your DPIA.

How to Secure Your RAG Pipeline: Preventing Data Leaks in Retrieval-Augmented Generation

RAG pipelines automatically retrieve internal documents and send them to LLM providers — every chunk is a potential data leak. Here's how to protect what's flowing through your retrieval pipeline.

Why Your AI Agents Are Leaking Data (And How to Stop Them)

AI agents call dozens of APIs, tools, and models autonomously — each step is a potential data leak. Here's how to protect the data flowing through agentic workflows.

How to Prevent Sensitive Data Leaks in LLM API Calls

Step-by-step guide to preventing PII, secrets, and sensitive data from leaking through LLM API calls — from audit to enforcement.

LLM Security Tools Compared: Gateways, DLP, Guardrails, and Proxies

A comparison of LLM security approaches — AI gateways, enterprise DLP, guardrail libraries, and content-aware proxies explained.

Mask and Restore: Reversible Redaction That Keeps LLMs Useful

How reversible PII redaction works — mask sensitive data before it reaches the LLM, then restore original values in the response.

Prompt Injection Prevention for Production LLM Apps

How to detect and prevent prompt injection in production LLM applications — defense-in-depth strategies with practical code examples.

EU AI Act Compliance for AI Engineers: What You Need to Do Before August 2026

A developer-focused guide to EU AI Act compliance before the August 2026 deadline — requirements, data governance, and practical steps.

PII Detection Best Practices for AI Pipelines

A practical guide to identifying and handling personally identifiable information in LLM requests and responses.

Introducing Grepture — Content-Aware API Security Proxy

Meet Grepture — a content-aware proxy that detects and controls sensitive data in your AI traffic before it ever reaches an LLM.