[01]
// the premise
Every modern endpoint runs at least one autonomous agent. Claude.
Copilot. ChatGPT. Cursor. They have access to your files, your
keychain, your network. They act on your behalf — usually without
asking, usually without telling.
In 2025, 88% of organizations had an AI-agent security
incident. Only 21% had real visibility into what their
agents were doing. 1,800+ publicly exposed MCP servers
run with no authentication, and 66% of scanned MCP servers
carry security findings.
// sources:
Gravitee ·
Akto ·
Red Hat ·
AgentSeal
The instinct in this industry is to push observability up —
into the cloud, into central platforms, into someone else's logs.
We think the opposite. We think the only place where
agent-behavior is actually observable is at the endpoint,
before it leaves the box.
[02]
// the position
127.0.0.1 labs builds local-first sentinels. The
address is the metaphor: data stays here. Classification happens
here. Decisions about what crosses the boundary are made here.
We don't stream raw HTTP to a SaaS-LLM and pray for compliance.
We don't ship telemetry to anyone. We don't run cloud-side models
that need to see your secrets to be useful.
Watch. Classify. Gate. Sovereignty as architecture,
not as marketing.
[03]
// the language
Our visual and behavioural grammar is Sentinel
Signal — the way severity wants to be rendered when nothing
is decorative. Cyan for active
scanning. Amber for warning.
Coral for critical.
Green for clear. Black for the
medium itself.
Every glyph is evidence. Every motion is a heartbeat. Density is
honesty. Restraint is respect. You will see it everywhere we build
— from a menubar pulse to a SOC-floor dashboard.
[04]
// the products
-
rAIzr
runtime-aware AI zero-trust response
The endpoint observer. Per-process attribution at kernel level.
-
Mimir
multi-source intelligence monitoring & incident response
The intelligence layer. SecOps + OSINT, 100% local.
-
— more to come
when the next gap appears
…and it always does.