Cybernews Agency is an automated cybersecurity intelligence publishing platform. It ingests raw news from multiple sources, processes and enriches it through a 15-phase pipeline, and produces neutral intelligence summaries grounded in verified source material.

The platform draws from RSS feeds across the cybersecurity landscape — including BleepingComputer, The Hacker News, and Dark Reading — and synthesizes reporting into structured articles that surface what matters without editorial bias or sensationalism.

What Makes It Different

Most cybersecurity news aggregators repackage single-source reporting. Cybernews Agency cross-references multiple sources for each story, normalizes bias, extracts structured intelligence — CVEs, threat actors, affected organizations — and scores each article for quality and grounding. The result is not aggregated copy-paste but synthesized, verifiable intelligence.

Three Article Types

• Emerging — Breaking developments, typically 0–48 hours old. Fast-turnaround reporting on new vulnerabilities, breaches, or threat actor activity.
• Trending — Patterns and recurring themes observed over a week to a quarter. Connects individual incidents into broader narratives.
• Evolution — Strategic outlook over a 6-month horizon. Tracks how threat landscapes, technologies, and defensive postures are shifting.

How It Works

The pipeline operates in 15 phases: source discovery, evaluation, profiling, fetching, sanitization, cleaning, enrichment, vectorization, news evaluation, search, investigation, drafting, writing, editorial review, and publishing. Each phase is handled by a dedicated agent or service, coordinated through a central task manager.

Every published article links back to its original sources, displays extracted entities and categories, and carries a quality score reflecting source coverage and grounding depth. The system is fully automated — from RSS ingestion to static HTML generation — and runs continuously on dedicated infrastructure.