📰 Dev.to · Armorer Labs

When a single agent does something dangerous, the audit problem is small. You have one run, one set...

One of the quiet assumptions that breaks first when agents move from demos to production is that the...

Every agent product eventually has the same conversation: who is allowed to click "yes"? The...

A block count is not an audit record. If an agent guard says it blocked 200 actions, I still need to...

Before I run a new local agent, I want a boring checklist. Not hype. Not a demo video. Just...

Telling a coding agent "do not push to main" is useful. It is not enough. Branch policy has to be a...

A lot of AI-agent safety tooling is framed around blocking bad actions. Blocking matters, but it is...

I keep seeing the same pattern with AI agents: the demo works, the first workflow is exciting, and...

Agentic browser work is getting good enough that teams are starting to trust it for real workflows:...

Everyone is comparing agent frameworks: LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, Claude Code,...

AI agents are quickly moving from impressive demos to actual work. They read docs. They summarize...

# Armorer Guard: runtime control should start at the tool call The more I work on local agent...

Armorer Guard scans prompt injection, credential leaks, exfiltration, and dangerous MCP tool calls locally before agent tools execute.

A Rust-native local learning overlay for AI-agent prompt injection and tool-call risk scanning, with reviewed retraining instead of silent drift.

Prompt injection gets more dangerous when an agent can act. The risky moment is often not the first...