API Security & Data Protection Blog
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.
Ben @ Grepture
Read moreEvery 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.
SecurityRAG 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.
SecurityAI 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.
SecurityStep-by-step guide to preventing PII, secrets, and sensitive data from leaking through LLM API calls — from audit to enforcement.
SecurityHow to detect and prevent prompt injection in production LLM applications — defense-in-depth strategies with practical code examples.
SecurityA practical guide to identifying and handling personally identifiable information in LLM requests and responses.
Security