Close The Gaps In Your Security Data
Adding and maintaining new sources shouldn't slow your team down. Beacon handles onboarding, monitoring, and optimization so your coverage keeps pace with your environment.
No More Blind Spots In Your Data
Onboard new sources, fast
Add new cloud environments, business applications or security tools in days, not months. No custom connectors or engineering overhead.
Maintain pipelines automatically
Know that every source is delivering the data your SIEM expects. When something drifts or a format changes, Beacon detects it and updates the pipeline.
Optimize what gets sent
Collect broadly without inflating your SIEM bill. Beacon reduces volume while preserving the fields that matter for detection and investigation.
What Powers Full Coverage
Pre-built connectors for cloud, SaaS, identity, endpoint, and business applications, plus every major SIEM and data lake as a destination. No custom connectors to build or maintain.
Pre-built Recipes map and normalize data with security logic baked in. Fields are correlated and structured for how detection rules and analysts actually work.
Track the health of every data stream in real time. Know immediately when a source stops sending, volume drops, or data drifts from what's expected.
See exactly what you're collecting and what you're not. Beacon maps your environment and gives you a coverage score, so you know where the gaps are.
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
Security data coverage refers to how completely your environment is logged: which sources are actively collected, normalized, and available for detection and investigation. Poor coverage means threats can move through unmonitored systems without triggering alerts, and investigations hit dead ends where data should have been.
Most teams don't know until something goes wrong: an investigation stalls, a detection doesn't fire, or an audit reveals gaps. A more proactive approach is to map your environment against what should be logged and assign a coverage score. Beacon does this automatically, highlighting what's connected, what's missing, and what's drifting.
Start with sources tied to your highest-risk areas: identity providers, cloud environments, endpoint tools, and anything involved in authentication or privilege escalation. From there, layer in SaaS apps and business tools based on how they factor into your detection rules and compliance requirements. The key is to not let onboarding complexity dictate your priorities. If a source matters, it should be collected.
Every environment is different, but the sources teams tend to skip (SaaS apps, business tools) are often the ones attackers exploit. The real issue is that onboarding has traditionally been too complex and expensive to justify for every source. Tools like Beacon remove that friction, making it practical to collect broadly and optimize what gets sent where.
Beacon supports cloud environments, SaaS applications, business apps, identity providers, endpoint tools, and network security sources, with 100+ pre-built connectors and more added regularly.
Most sources can be onboarded in days using Beacon's pre-built connectors and normalization Recipes, compared to weeks or months with custom-built pipelines.
Beacon detects format changes and field additions automatically and adjusts the mappings. No manual remapping or engineering intervention is required.
Yes. Beacon supports custom connectors for proprietary or niche data sources, and new mappings can be generated quickly using Beacon's security research and AI capabilities.
Yes. You can route the same data stream to multiple destinations (your SIEM, a data lake, long-term storage) each normalized to the schema that destination expects.
