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.
Your support chatbot can now issue refunds and look up orders, because someone connected it to real tools. Every one of those actions sits behind a customer-facing text box, protected however carefully the prompt was worded.
Prompt injection in a single turn affects one response, then the next request starts clean. A persistent memory feature breaks that boundary by design, so a single successful injection becomes durable, recalled and trusted in every future session.
Give a model a tool that writes and you have added a route into whatever sits behind it. The design that keeps it a new shape rather than a new privilege, and the four things that were not obvious.
Commit-level attribution answers 'lines added by commits an assistant co-authored'. That is a different sentence from 'lines an AI wrote', and the gap between them is where governance metrics go wrong.
Coding assistants sign their own work in the commit trailer block. That makes 'how much of this was AI-written' a parsing problem, not a heuristic one — as long as your tooling reads the commit body, which most of it does not.
Malicious injected instructions are now tracked across billions of crawled pages a month, every AI browser tested at Black Hat proved vulnerable, and one framework bug turned a prompt into RCE.
OpenAI shipped ChatGPT Atlas in October 2025 and admitted by December that prompt injection in AI browsers may never be fully solved. Defenders need a posture, not a patch.
Tool poisoning is the most impactful client-side MCP vulnerability, and the defensive research is solid. All of it assumes you know which MCP servers you connect to. Almost nobody does.
Sandbox escapes in Claude Code, critical CVEs in Cursor, a 10.0 in Gemini CLI, prompt injection in Copilot. Different vendors, one shared cause: the agent must hold elevated access to be useful.
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