Prompt Injection Defence Stack 2026
No single control stops prompt injection. The current state of the art is a defence-in-depth stack with controls at five distinct layers. Here it is.
Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
No single control stops prompt injection. The current state of the art is a defence-in-depth stack with controls at five distinct layers. Here it is.
Vector databases are now central infrastructure for retrieval-augmented AI. The 2026 attack trend targets the index itself, not the model — and most defenders are not watching the right layer.
AI coding assistants promise productivity but expand the data leakage surface in specific, mappable ways. The paths, the mitigations, and what enterprise policy actually looks like.
Synthetic eval benchmarks are controllable. Real-world data is messy. The gap between performance on each is usually large, and vendors prefer one over the other for a reason.
Most security teams are sitting on hundreds of stale findings. Here is how to clear an aged vulnerability backlog with bulk remediation that actually merges.
Claude's Computer Use lets an agent drive a GUI. For security, this is powerful and dangerous in equal measure. The architecture around it matters.
Crypto misuse is not about broken algorithms. It is about misused parameters, missing checks, and the gap between "it compiles" and "it is secure."
Explainable AI makes model decisions inspectable so security teams can trust, audit, and defend them. Here is what that means in practice.
A senior engineer's take on the confused deputy problem in AI agent tool use, why it keeps reappearing in 2026, and the architectural patterns that actually fix it.
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