About InfoSecRadar

InfoSecRadar is an independent cybersecurity news aggregation and analysis platform. We ingest articles from 22 curated RSS feeds covering major security news outlets, expert analysis blogs, government advisories, vendor research, privacy organizations, and training resources.

What We Add

For every story, our AI analysis provides:

• IFF Classification — Is this story Friend (good news for defenders) or Foe (bad news)?
• Severity Assessment — CVSS score from official sources when available, or an AI-estimated score with clear labeling.
• Defender Context — 2–3 sentences explaining why this matters to security practitioners and what to watch for.

Our Philosophy

InfoSecRadar is a signpost, not a destination. We provide analytical context and direct you to the original sources for full coverage. Every story prominently links to the original article.

Data Sources

We aggregate from 22 feeds across six tiers: high-volume news outlets (Dark Reading, Bleeping Computer, The Hacker News, and more), expert analysis (Krebs on Security, Schneier on Security, Risky Business News), government advisories (CISA, NIST NVD), vendor research (Google Project Zero, Sophos), privacy organizations (EFF, EPIC, The Intercept, Privacy International), and training resources (BrightTALK, NIST Cybersecurity Insights, Recorded Future Blog). See our Methodology page for details.

Technology

InfoSecRadar is built with Python, Jinja2 templates, and SQLite. Articles are analyzed using Google Gemini with Anthropic Claude as failover. The site is fully static — generated HTML served by Caddy.

Privacy

We collect no visitor data. No analytics, no accounts, no cookies (beyond those set by Google Ads). Server logs are retained for 24–48 hours only. See our Privacy Policy.