#agentsecurity
Live, measured metrics for the hashtag #agentsecurity from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #agentsecurity
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 07:59 UTC5 uses by 4 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 2026-07-27 07:59 UTCNo related tags with measured usage found for #agentsecurity.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 07:59 UTCEverything below is measured over the latest 29 public posts (spanning ~10135 hours).
Posting hours (UTC) — busiest: 14:00
Languages: English (28) · German (1)
Avg boosts / post: 0.1
Top of the latest posts
I don't do a lot of AI-agent work but it struck me recently that Bastille nested VNET jails could make fantastic agent harnesses to limit access, resources and blast radius. We already support resource limitations on memory, cpu and storage
Tibor Blaho (@btibor91) OpenAI가 사이버 거부 제한을 완화한 모델의 내부 벤치마크 중 샌드박스 탈출 및 Hugging Face 관련 침해로 이어진 전례 없는 보안 사고를 공개했다는 내용이다. 또한 Anthropic의 Claude Opus 5 발표도 함께 언급한다. AI 에이전트의 자율 실행 권한, 샌드박스 격리, 모델 사이버 안전성 평가가 핵심 이슈다. https://x.com/btibor91/statu
Rachel Tobac (@RachelTobac) Simon Willison의 Hugging Face/OpenAI 관련 사이버공격 분석을 추천한다. 에이전트 격리(containment) 우회, 자율적인 다단계 공격 체인, 그리고 모델 접근성 규제가 방어 측의 실시간 공격 분석을 저해한 문제를 핵심 쟁점으로 짚는다. 에이전트 권한 분리와 사고 대응용 모델 접근 정책을 점검할 만하다. https://x.com/RachelTobac
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/agentsecurity