#threatmodeling
Live, measured metrics for the hashtag #threatmodeling from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #threatmodeling
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 · mastodon.online (Mastodon public tags API) · fetched 2026-11-08 19:18 UTC2 uses by 2 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-11-08 19:18 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-08 19:18 UTCEverything below is measured over the latest 40 public posts (spanning ~1751 hours).
Posting hours (UTC) — busiest: 17:00
Languages: English (33) · Polish (5) · German (2)
Avg boosts / post: 1.1
Top of the latest posts
This is a first for me: I will give a talk about threat modeling at the SWK Nürnberg on Oct, 27th. It will be more or less the same talk I gave at SoCraTes in Soltau. I hope it will give you a good introduction and another tool in your tool
Agentic Security Engineering Synthesia는 코딩 에이전트가 빠르게 변경하는 코드베이스를 보안 검토하기 위해 계층형 보안 에이전트 오케스트레이션을 구축했다. 장기 실행 캡틴 에이전트가 영역별 위협 모델링과 검증을 담당하고, 샌드박스 워커가 제한된 권한으로 개별 작업을 수행한다. 사람은 보안 설계와 공유 시스템에 대한 조치를 감독하며, 에이전트가 변경 사항을 감시하고 가드레일을 구현·평가한다. 보안 관
Security problems rarely begin as such. This #PyTexas talk introduces #ThreatModeling as a lightweight habit for #Python teams building AI, data, and cloud-connected systems, focused on collaboration patterns that help developers, security
#threatmodeling across platforms
every network with a public tag surfaceFollow #threatmodeling straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
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/threatmodeling