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ProductsProject Beacon
Threat IntelligenceMVPv0.5.0

Project Beacon

Brings together threat intelligence from multiple sources, normalizes it into a common view, and correlates it against an organization's own telemetry to prioritize what is actually relevant.

Product status

  1. Concept
  2. Prototype
  3. MVP
  4. Pilot
  5. Beta
  6. Production
  7. Scale

Problem

Security teams work with many intelligence sources and struggle to separate broad noise from what's relevant to their own environment.

Why this problem matters

Analyst time spent triaging low-relevance intelligence is time not spent on real incidents — a well-documented operational problem in security operations.

Solution

Normalizes threat intelligence from multiple sources into a common view, then correlates it against an organization's own environment to surface what's actually relevant.

Core capabilities

  • Multi-source normalization
  • Deduplication and lifecycle tracking
  • Relevance scoring against connected telemetry
  • Searchable results with export

Architecture

An ingestion layer normalizes external intelligence into a common model; a correlation layer scores relevance against connected telemetry; a web application surfaces prioritized, searchable results.

PythonTypeScriptSTIX/TAXIIPostgreSQLNode.js

How it works

  1. 1Connect available threat intelligence sources.
  2. 2Intelligence is normalized and deduplicated into a common view.
  3. 3Optional telemetry connection enables relevance scoring against your environment.
  4. 4Analysts search, filter and export prioritized results.

Security model

  • • Role-based access to indicator sources
  • • Encrypted storage of ingested intelligence

Not yet independently assessed

Integrations

  • • STIX/TAXII feeds
  • • Planned: SIEM export connectors

Deployment models

SaaSSelf-hosted

Target customers

  • • Security operations centers
  • • MSSPs
  • • Threat intelligence teams

Business model

Tiered SaaS subscription by feed volume and number of connected telemetry sources (indicative, not final).

Differentiators

  • • Focus on relevance to the customer's own environment rather than raw feed aggregation alone.

Evidence

Product evidence

Product screenshots

Available on request

Traction

Feeds normalized

To be disclosed

Roadmap

now

  • Feed normalization core

    Stable ingestion and normalization for the initial feed set.

next

  • SIEM export connectors

    Push prioritized indicators into common SIEM platforms.

later

  • Automated response playbooks

    Optional SOAR-style response actions for high-confidence indicators.

Investor relevance

Threat intelligence tooling is a recurring enterprise security spend category; this product is an early proof point for the company's data-normalization and correlation engineering capability.

FAQ