AI Security
Securing MCP Servers Without Killing Developer Velocity
MCP servers are spreading inside engineering orgs faster than security teams can review them. Here is how to govern them without slowing teams down.
Apr 12, 20267 min read
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.
MCP servers are spreading inside engineering orgs faster than security teams can review them. Here is how to govern them without slowing teams down.
A repeatable onboarding flow for adding MCP servers to an enterprise registry without becoming the team that says no to everything.
Long-lived shared tokens are the wrong unit of trust for MCP servers. Here is the per-server scoped-credential pattern and how to roll it out.
Most AI observability stacks log prompts and completions. The actual security signal is in the tool calls. Here is how to capture it.
Some tool calls cannot be undone. Out-of-band confirmation is the cheapest defense for that small set, and the most expensive thing to skip.
MCP servers do not stay still. Tool surfaces drift, scopes expand, and the server you approved is not the server in production. Here is how to catch that.
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.
Every agent in production has a blast radius. Most teams have not measured theirs. Here is how to measure it and how to bring it under control.
Shipping AI features without an eval harness is shipping without tests. Here is how to build one that actually gates releases without becoming a bottleneck.
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