{"id":112974,"date":"2026-02-02T01:29:15","date_gmt":"2026-02-02T01:29:15","guid":{"rendered":"https:\/\/mailinvest.blog\/index.php\/2026\/02\/02\/too-much-open-source-ai-is-exposing-itself-to-the-web-the-register\/"},"modified":"2026-02-02T01:30:18","modified_gmt":"2026-02-02T01:30:18","slug":"too-much-open-source-ai-is-exposing-itself-to-the-web-the-register","status":"publish","type":"post","link":"https:\/\/mailinvest.blog\/index.php\/2026\/02\/02\/too-much-open-source-ai-is-exposing-itself-to-the-web-the-register\/","title":{"rendered":"Too much open-source AI is exposing itself to the web \u2022 The Register"},"content":{"rendered":"

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Infosec in Transient<\/span> As if AI weren’t sufficient of a safety concern, now researchers have found that open-source AI deployments could also be an excellent greater drawback than these from business suppliers.\u00a0<\/p>\n

Risk researchers at SentinelLABS teamed up with web mappers from Censys to check out the footprint of Ollama deployments uncovered to the web, and what they found<\/a> was a world community of largely homogenous, open-source AI deployments simply ready for the correct zero-day to come back alongside.<\/p>\n

175,108 distinctive Ollama hosts in 130 nations had been discovered uncovered to the general public web, with the overwhelming majority of cases discovered to be operating Llama, Qwen2, and Gemma2 fashions, most of these counting on the identical compression selections and packaging regimes. That, says the pair, suggests open-source AI deployments have turn out to be a monoculture ripe for exploitation.\u00a0<\/p>\n

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