#llmsecurity
Live, measured metrics for the hashtag #llmsecurity from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #llmsecurity
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 2026-10-18 15:55 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 2026-10-18 15:55 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-18 15:55 UTCEverything below is measured over the latest 40 public posts (spanning ~1207 hours).
Posting hours (UTC) — busiest: 20:00
Languages: English (37) · Finnish (1) · Russian (1) · Portuguese (1)
Avg boosts / post: 0.4
Top of the latest posts
🛡️ New here? Start here. We built a refund-capable support agent, then attacked it with Humanbound. Single-turn: 19 failures across 488 prompts, Grade B. Multi-turn: 43 failures across 97 conversations, Grade D. The worst took six turns. N
👋 Hello. This is Humanbound. We build open-source security testing for AI agents: prompt injection, tool misuse, data leakage, and the slow multi-turn manipulation single prompts miss. Apache 2.0, runs locally, no account needed. Here we'l
Agent memory poisoning needs no injection. A new paper poisoned 1.2% of a LongMemEval corpus with plainly worded false statements, no instructions or triggers, and accuracy fell from 0.850 to 0.300. A write-time screening pipeline with 0.83
#llmsecurity across platforms
every network with a public tag surfaceFollow #llmsecurity 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/llmsecurity