Data Flow and Threat Model

Data Flow Overview

Beacon collects supported agent harness activity on the endpoint, normalizes it locally, and writes one JSON object per line to a local runtime log. Security teams can inspect that file locally, view it through the loopback dashboard, or forward it through customer-controlled security pipelines.

Data Flow

Step	Behavior	Boundary
Runtime emission	Supported runtimes emit OpenTelemetry payloads or invoke `beacon-hooks`	Runtime-owned process to Beacon-managed local component
Local collection	Beacon receives OTLP on `127.0.0.1:4317` and `127.0.0.1:4318`, or receives hook payloads from local runtime configuration	Local process boundary on the endpoint
Normalization	Beacon maps runtime-specific payloads into the endpoint event schema	Beacon-managed code path
Local storage	Beacon writes one JSON object per line to `runtime.jsonl`	Filesystem permissions and log ownership
Local inspection	The dashboard reads the runtime log over a loopback-only service	Local browser to local dashboard service
Optional forwarding	Wazuh, Elastic/Filebeat, Datadog Agent, Sumo Logic, Rapid7, Microsoft Sentinel, AWS S3, Google Cloud Storage, Splunk HEC, Falcon LogScale HEC, or customer-managed shippers read or receive events	Customer-managed network and SIEM boundary

Threat Model

Risk	Design response
Unintended hosted telemetry	Normal endpoint collection writes local JSONL and does not require a Beacon-hosted account, remote policy fetch, or external network dependency
Network exposure of collectors	Default OTLP receivers bind to `127.0.0.1` rather than an externally reachable interface
Over-collection of prompt or diff content	Scope supported runtimes and hook deployment deliberately before rollout, and review destination access for retained local telemetry
Secret leakage in retained content	Beacon applies redaction, sanitization, truncation, and event-size limits before writing supported content fields
Destination credential exposure	Persistent endpoint file-based destinations tail local JSONL, so Beacon endpoint configuration does not store Elastic, Datadog, Sumo Logic, Rapid7, Microsoft Sentinel, AWS, or Google Cloud credentials. Optional Splunk and Falcon tokens live in collector configuration. Self-serve cloud-agent uploads are a separate proof-of-concept path: scoped GCS or AWS credentials are injected into the provider-managed sandbox as runtime secrets and must be rotated and access-reviewed.
Removal uncertainty	Endpoint uninstall removes managed service and configuration state, with explicit `--keep-logs` and `--keep-config` exceptions

Current Boundaries

Beacon focuses on supported agent harness telemetry and local endpoint configuration context. It does not provide kernel or process monitoring, shell history collection, cloud audit ingestion, browser or SaaS telemetry, credential-use attribution, Datadog API export from Beacon, Sumo Logic API export from Beacon, Rapid7 API export from Beacon, or automatic mutation of Factory Droid shell profiles. Provider-managed cloud agents use a separate ephemeral boundary from the local endpoint. Their hook adapter writes sandbox-local JSONL and can send compressed snapshots directly to customer-managed object storage. Upload failures are fail-open so telemetry delivery cannot block the agent task; verify the remote object rather than treating a successful agent run as proof of delivery.

Open Source Architecture

Follow the collection, normalization, storage, and forwarding architecture.

Agent harness integrations

Review supported runtimes, destinations, MDM support, and current boundaries.

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Data Flow and Threat Model

Data Flow Overview

Data Flow

Threat Model

Current Boundaries

Open Source Architecture

Agent harness integrations

​Data Flow Overview

​Data Flow

​Threat Model

​Current Boundaries

​Related

Open Source Architecture

Agent harness integrations

Data Flow Overview

Data Flow

Threat Model

Current Boundaries

Related