What is content exclusion for AI coding assistants, and its limits?
Content exclusion tells an AI coding assistant which files it must not read. Learn what it covers, who configures it, and the gaps to plan around.
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.
Content exclusion tells an AI coding assistant which files it must not read. Learn what it covers, who configures it, and the gaps to plan around.
Autocomplete suggests code you accept. An agentic coding tool plans, edits files, runs commands and can open pull requests. The security risks differ.
AI agent identity means each agent is a named, authenticated entity with its own limited access, so its actions can be authorized, audited and revoked.
AI agent governance is the set of rules, owners and records that decide which agents may act, with what access, and who can prove it. Start with five.
A dataset card is the README that documents a dataset. Learn which fields, license, source and bias notes, to read and record before training on it.
trust_remote_code=True lets a Transformers model run Python code from the model repository. Learn the risk, how to pin a revision, and when to say no.
The MCP spec says clients should log tool usage and servers should log scope elevations. The rest of audit logging is your job. Here is the gap and a fix.
Fixed criteria can lag fast-moving areas like AI agents and MCP. Learn how to check whether a report covers them and how to test the gaps yourself.
The main MCP server risks are confused deputy, token passthrough, SSRF, session hijacking, local server compromise and broad scopes. Each has a known fix.
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