cybersecurity topic

Daily cross-source mention tracking for cybersecurity: how many AI news articles, Hacker News stories, research papers and GitHub trending repos mention it. Deterministic whole-word counts of real stored items, updated daily.

64 mentions, last 7 days 110 mentions, all stored days tracked since 2026-06-28
Daily total mentions · 2026-06-28 to 2026-07-21
05102026-06-28: 1 mention2026-07-10: 9 mentions2026-07-11: 9 mentions2026-07-12: 9 mentions2026-07-13: 9 mentions2026-07-14: 9 mentions2026-07-15: 9 mentions2026-07-16: 9 mentions2026-07-17: 9 mentions2026-07-18: 9 mentions2026-07-19: 9 mentions2026-07-20: 10 mentions2026-07-21: 9 mentions06-2807-1507-21
Per-source breakdown
SourceLast 7 daysAll stored days
News articles 63 108
Hacker News stories 1 2
Research papers 0 0
GitHub trending repos 0 0
Receipts · current items mentioning cybersecurity
news China's Z.ai claims it matches Mythos on cybersecurity 2026-06-28 hn Forget the model. When it comes to cybersecurity, it's all about the harness 2026-07-20 · external ↗ news Trump Admin releases Anthropic Mythos for use by more than 100 US companies, agencies Sat, 27 Ju news Cybersecurity vets protest ‘dangerous’ US government ban on Anthropic’s most powerful models Mon, 15 Ju news Amazon security research reportedly led to the White House’s Anthropic Fable ban 2026-06-13 news Chinese cybercrime operation that used AI to scam ‘hundreds of thousands of victims’ sued by Google Fri, 12 Ju news OpenAI just released its answer to Claude Mythos 2026-05-11 news Best VPN services 2026: Expert tested and recommended Sat, 09 Ma
How this is counted

Each item counts once per day if its title (plus summary or description where available) contains cybersecurity or one of its tracked aliases, matched case-insensitively on whole words. Heat on the Hype Meter board is scored as: raw = total mentions across sources in trailing 7 days; breadth = number of distinct sources with >=1 mention in those 7 days (1-4); heat = percentile rank of (raw * breadth) among all terms with raw>0, scaled 0-100, rounded. News and repo counts start the day tracking began; Hacker News and paper counts are backfilled from stored daily snapshots. No language model touches these numbers.

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