Show HN: Stopping AI agent swarms from hacking our systems
Detecting machine communication is not enough — security has to understand what the population is doing.INWOM / PLAYGROUNDPUBLIC RESEARCH ENVIRONMENTRUN IT YOURSELFRun the swarm.Change the population, coordination, knowledge sharing, legitimate automation, and random seed.
- ▪Detecting machine communication is not enough — security has to understand what the population is doing.INWOM / PLAYGROUNDPUBLIC RESEARCH ENVIRONMENTRUN IT YOURSELFRun the swarm.Change the population, coordination, knowledge sharing, legiti
Hacker News (AI / LLM) files mainly under ai. We currently carry 5,195 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Inwom |
| Canonical URL | https://www.inwom.com/ |
| Publication time | Wed, 16 Sep 2026 16:11:31 +0000 |
| Retrieval time | 2026-09-16T16:28:41.667Z |
| Last seen | 2026-09-16T16:28:41.667Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | HjDIGImsNmuh · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
INWOMSecurity infrastructure against coordinated AI agent attacks.Playground ↗THE ATTACK SURFACE IS CHANGINGAI agents are no longer acting alone.Thousands of machinescan coordinate an attackat machine speed.They can explore in parallel, share discoveries, divide work, adapt, and combine capabilities before traditional security understands that the individual events are connected.Scroll to understand↓01 / INDIVIDUALLYEach action canlook harmless.Nothing here necessarily looks like a coordinated attack when examined event by event.LIVE MACHINE ACTIVITYOBSERVING12:04:01.002actor_041repository accessed12:04:01.438actor_178new capability discovered12:04:02.019actor_223identity boundary denied12:04:03.082actor_091shared resource modified12:04:03.744actor_152artifact…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Inwom.
Discussion
0 commentsMore from Inwom
