#maicyber1flash
Live, measured metrics for the hashtag #maicyber1flash from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #maicyber1flash
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 19:01 UTC5 uses by 5 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-29 19:01 UTCNo related tags with measured usage found for #maicyber1flash.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 19:01 UTCEverything below is measured over the latest 5 public posts (spanning ~48 hours).
Posting hours (UTC)
Languages: English (3) · German (1) · Italian (1)
Avg boosts / post: 0.8
Top of the latest posts
#Microsoft stellt eigenes KI-Modell für #Cybersecurity vor | heise online https://www.heise.de/news/Microsoft-stellt-eigenes-KI-Modell-fuer-Cybersecurity-vor-11379956.html #ArtificialIntelligence #AI #MAIcyber1flash
👀 Trovare vulnerabilità nel codice sorgente richiede un modello che capisca davvero il contesto di sicurezza, non un LLM generico. Microsoft ha addestrato MAI-Cyber-1-Flash esattamente per questo. 👇 https://gomoot.com/mai-cyber-1-flash-il
https://winbuzzer.com/2026/07/28/microsoft-says-cyber-ai-can-cut-bug-finding-costs-xcxwbn/ Microsoft says its new MAI-Cyber-1-Flash AI model can lower bug-finding costs by routing routine work in its multi-model agentic scanning harness, wh
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/maicyber1flash