Endpoint security
that never leaves
your Mac.
On-device AI threat detection. Real-time monitoring across process, network, and kernel layers. Your data stays on your machine.
The problem
Mac endpoint security is broken.
Every major endpoint detection and response (EDR) tool was built for Windows first. Mac teams get a second-class agent that leaks data and drains batteries.
What's wrong
Cloud-dependent
Traditional endpoint detection sends every event to remote servers. Your endpoint data lives on someone else's infrastructure.
Performance drain
Generic agents built for Windows, ported to Mac. Heavy CPU usage, constant network chatter, battery killer.
Not Mac-native
No macOS security framework integration, no Apple Silicon optimization. Bolted-on Mac support as an afterthought.
Our approach
On-device AI
Multi-tier LLM intelligence runs entirely on your Mac. Fast triage and deep analysis, all on-device.
Ephemeral by design
Raw events deleted after analysis. Only anonymized threat indicators ever leave your machine.
Built for Apple Silicon
Deep integration with macOS security frameworks, orchestrated natively on Apple Silicon.
How it works
Everything runs on your Mac.
No cloud. No agents phoning home. Multiple sensor layers and on-device AI, all running locally on Apple Silicon.
On-Device AI
Multi-tier LLM intelligence with zero cloud inference. Sub-second triage and deep threat analysis, all running locally on your hardware.
Real-Time Detection
Multiple sensor layers monitoring process, network, and kernel activity with intelligent correlation and MITRE ATT&CK mapping.
Apple Silicon Native
Built from the ground up for Apple Silicon and the latest macOS. Native performance, minimal resource footprint.
Privacy-First
Raw events deleted after analysis. Only anonymized threat indicators are ever uploaded. No user or device re-identification possible.
Architecture
From sensor to alert
in under a second.
Every stage runs on your Mac. Events flow through correlation and AI analysis before becoming actionable alerts.
Sensors
Process, network, kernel, and system event capture
Event Bus
Real-time ingestion, normalization, and routing
AI Triage
On-device LLM analysis, threat scoring, and classification
Correlation
Rule engine with MITRE ATT&CK technique mapping
Alerts
Actionable, privacy-preserving threat notifications
Sensors
Process, network, kernel, and system event capture
Event Bus
Real-time ingestion, normalization, and routing
AI Triage
On-device LLM analysis, threat scoring, and classification
Correlation
Rule engine with MITRE ATT&CK technique mapping
Alerts
Actionable, privacy-preserving threat notifications
Early access
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