Turn Raw Logs Into Investigation-Ready Data
Beacon eliminates the manual effort of normalizing raw logs, replacing custom parsers and scripts with expert-validated mappings that make investigations faster and detections consistent across every source
Data You Can Actually Work With
Faster investigations
Analysts and agents work with consistent, structured fields across every source, allowing for more efficient investigations.
Stronger detections
Data is normalized with security logic in mind. Fields are mapped, correlated, and structured to match how detection rules and analysts actually think.
No engineering maintenance
Onboard new sources or maintain existing ones without parser rewrite, engineering cycles or growing maintenance backlogs.
The Foundation for Consistent Schemas
Map raw telemetry to ECS, OCSF, ASIM, or custom schemas using AI-powered normalization. Beacon handles the mapping logic so your team doesn't have to.
Beacon normalizes data per destination and routes it to the right tool in the right format, so each downstream system gets exactly the data it expects.
100+ connectors for sources and destinations, with pre-built mappings validated by security experts. When new sources appear, Beacon generates new mappings quickly, without long engineering cycles.
Collect, optimize, enrich and normalize from a single platform. Get full visibility and control over every step of your data pipeline.
Beacon's security-driven data platform optimizes terabytes of important security logs spanning many sources. Data arrives enriched and normalized, and in the case of bloated VPC flow logs, reduced to 5% of their original size, enabling our security team and AI workflows to act immediately and effectively. We no longer choose between coverage and cost efficiency. We now have both, supported by a responsive team of security data experts.
Frequently Asked Questions
Schema normalization is the process of transforming raw, source-specific logs into a consistent structure (such as ECS, OCSF, ASIM, or a custom schema) so detections, queries, and investigations work reliably across all data sources. It ensures that tools receive data in the exact format they expect.
Most SIEM content (detections, correlations, dashboards) assumes logs follow a specific schema. When new or unsupported sources don’t match that structure, rules fail silently or require custom rewrites. Beacon ensures incoming telemetry is mapped to the schemas your SIEM expects, so detection logic works consistently without constant maintenance.
No. Beacon preserves all fields required for detections and investigations while aligning them to the correct schema. Normalization improves reliability by ensuring rules, correlations, and queries run as designed, even when log formats change.
Beacon supports industry-standard schemas such as ECS, OCSF, and ASIM, as well as SIEM-specific native schemas and fully custom formats. Teams can standardize data once and deliver it in the structure each tool expects, without rebuilding pipelines.
No. Beacon adapts to schema changes upstream, preserving the structure your SIEM and detection logic expect.
No. Beacon performs normalization in-stream as part of its unified data pipeline. Structured, schema-aligned data arrives ready for detection without slowing ingestion or requiring post-processing
Absolutely. Many SIEMs lack native support for long-tail SaaS, cloud, or internal systems. Beacon maps unsupported sources into your existing schema, allowing you to apply existing detection content without building custom parsers.
No. Beacon normalizes diverse log formats into a consistent schema upstream, eliminating the need to manage and maintain source-specific parsers inside your SIEM.
