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.
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.
AI-related CVEs rose 34.6% year over year and more than 200% since 2023. The interesting question is what kind of vulnerabilities they are — because most of them are not model flaws at all.
Traditional AppSec was built for static code, not decision-making agents. Here's what agentic AI security actually covers—and why autonomous agents need a new defense model.
AI agents now hold production credentials the way employees do, except most are never offboarded. Here's how AI agent identity and access management closes that gap.
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