{"id":8704,"date":"2026-10-01T14:20:07","date_gmt":"2026-10-01T12:20:07","guid":{"rendered":"https:\/\/igloonet.cz\/blog\/?p=8704"},"modified":"2026-10-01T14:43:40","modified_gmt":"2026-10-01T12:43:40","slug":"jak-bezpecne-poustet-agenty-do-vlastnich-dat","status":"publish","type":"post","link":"https:\/\/igloonet.cz\/blog\/jak-bezpecne-poustet-agenty-do-vlastnich-dat\/","title":{"rendered":"Jak bezpe\u010dn\u011b pou\u0161t\u011bt agenty do vlastn\u00edch dat"},"content":{"rendered":"
<\/div>\n

Pustit AI agenta k firemn\u00edm dat\u016fm nen\u00ed samo o sob\u011b dob\u0159e, ani \u0161patn\u011b. Z\u00e1le\u017e\u00ed k jak\u00fdm dat\u016fm se dostane, co s nimi m\u016f\u017ee d\u011blat, kam je m\u016f\u017ee poslat a hlavn\u011b co se stane, kdy\u017e se agent za\u010dne chovat jinak, ne\u017e jsme \u010dekali.<\/p>\n

<\/p>\n

Diskuze o bezpe\u010dnosti AI agent\u016f v datech je dost slo\u017eit\u00e1. Ka\u017ed\u00fd si toti\u017e pod t\u00edm p\u0159edstavuje n\u011bco jin\u00e9ho.<\/p>\n

N\u011bkdo to redukuje \u010dist\u011b na legal probl\u00e9m toho, kde se data zpracov\u00e1vaj\u00ed, jak\u00e1 je jejich retence a mo\u017en\u00e9 GDPR postihy, n\u011bkdo \u0159e\u0161\u00ed mo\u017en\u00fd \u00fanik dat a pro n\u011bkoho je to materi\u00e1ln\u00ed probl\u00e9m - agent rozbije data, zp\u016fsob\u00ed v\u00fdpadek, nebo desetin\u00e1sobnou \u00fatratu za BigQuery.<\/p>\n

\"From<\/a><\/p>\n

Nen\u00ed jeden jedin\u00fd spr\u00e1vn\u00fd p\u0159\u00edstup, kter\u00fd v\u00e1m vysv\u011btl\u00edm a bezpe\u010dnost si budete moct od\u0161krnout jako vy\u0159e\u0161en\u00fd probl\u00e9m. Ka\u017ed\u00e1 firma si to podle m\u011b mus\u00ed sama vyjasnit. Ta d\u016fle\u017eit\u00e1 \u010d\u00e1st je, \u017ee to rozhodnut\u00ed mus\u00ed d\u011blat opravdu firma. Ne, \u017ee si Franta z n\u00e1kupu rozhodne, \u017ee bez dal\u0161\u00edho pust\u00ed do firemn\u00ed datab\u00e1ze Claude Code. Nebo Ji\u0159ina, kter\u00e1 extern\u011b spravuje soci\u00e1ln\u00ed s\u00edt\u011b, nech\u00e1 analyzovat v\u00fdsledky kampan\u00ed v Codexu. Oba z t\u011bchto p\u0159\u00edklad\u016f pou\u017eit\u00ed m\u016f\u017eou b\u00fdt v n\u011bkter\u00fdch firm\u00e1ch \u00fapln\u011b v pohod\u011b a v n\u011bkter\u00fdch ne. Proto to rozhodnut\u00ed nem\u016f\u017eou d\u011blat sami.<\/p>\n

Nemysl\u00edm si ani, \u017ee je to rozhodnut\u00ed, kter\u00e9 by m\u011blo b\u00fdt \u010dist\u011b na security. Proto\u017ee v tom p\u0159\u00edpad\u011b bude p\u0159irozen\u011b optimalizovat hlavn\u011b na minimalizaci rizika a to je p\u0159\u00edli\u0161 \u00fazk\u00e9 pojet\u00ed. Je pot\u0159eba, aby si na za\u010d\u00e1tku sedl k jednomu stolu n\u011bkdo za business, legal, security a ide\u00e1ln\u011b i n\u011bkdo za data a spole\u010dn\u011b vyty\u010dili hranice. Veden\u00ed \/ business k tomu bude \u0159e\u0161it vztah potenci\u00e1ln\u00edho rizika a zisku, legal dod\u00e1 jak\u00e9 jsou mantinely vych\u00e1zej\u00edc\u00ed ze z\u00e1kona \u010di smluvn\u00edch dohod, security se vyj\u00e1d\u0159\u00ed k samotn\u00e9 re\u00e1lnosti a n\u00e1ro\u010dnosti a n\u011bkdo za data je z\u00e1sadn\u00ed pro kontext citlivosti a mo\u017enosti anonymizace a pseudonymizace.<\/p>\n

Obecn\u011b je z hlediska bezpe\u010dnosti daleko jednodu\u0161\u0161\u00ed \u0159e\u0161it zabudovan\u00e9 AI agenty. Tak jako m\u00e1me Vertex AI v GCP Gemini in BigQuery, Microsoft Foundry Agent Service + Fabric data agents, nebo  Amazon Bedrock AgentCore. V moment\u011b, kdy ale budete cht\u00edt napojovat Claude Code, Codex, nebo lok\u00e1ln\u00ed modely mimo integrovanou platformu, p\u0159id\u00e1v\u00e1 se dal\u0161\u00ed \u00farove\u0148 slo\u017eitosti.<\/p>\n

Agentn\u00ed mantinely<\/h1>\n

Nejsp\u00ed\u0161 tu\u0161\u00edte, \u017ee nastavit system prompt, AGENTS.md, CLAUDE.md apod., kde agenta hezky popros\u00edte, nebo mu n\u011bco d\u016frazn\u011b zak\u00e1\u017eete \u00fapln\u011b nesta\u010d\u00ed (https:\/\/www.theguardian.com\/technology\/2026\/apr\/29\/claude-ai-deletes-firm-database). Pokud nenastav\u00edte opravdu nep\u0159ekro\u010diteln\u00e9 technick\u00e9 limity, pracujete \u010dist\u011b s pravd\u011bpodobnost\u00ed jestli a kdy se n\u011bco pokaz\u00ed. U extern\u00edch AI agent\u016f v datech je to o to slo\u017eit\u011bj\u0161\u00ed, proto\u017ee automaticky napl\u0148ujeme v\u0161echny t\u0159i \u010d\u00e1sti lethal trifecta (https:\/\/simonwillison.net\/2025\/Jun\/16\/the-lethal-trifecta\/<\/a>) - p\u0159\u00edstup k citliv\u00fdm dat\u016fm, vystaven\u00ed ned\u016fv\u011bryhodn\u00e9mu obsahu a schopnost komunikovat ven.<\/p>\n

Co\u017e jsou i t\u0159i \u010d\u00e1sti, kter\u00e9 se budeme technicky sna\u017eit omezit: co agent uvid\u00ed, co bude m\u00edt mo\u017enost d\u011blat a kam d\u00e1l bude m\u00edt p\u0159\u00edstup.<\/p>\n

A rovnou si uk\u00e1\u017eeme nej\u010dast\u011bj\u0161\u00ed a z\u00e1rove\u0148 nejhor\u0161\u00ed mo\u017en\u00fd p\u0159\u00edstup. Spou\u0161t\u00edme agenta z termin\u00e1lu na\u0161eho po\u010d\u00edta\u010de, bez izolovan\u00e9ho sandboxu, k datab\u00e1zi se p\u0159ihla\u0161ujeme p\u0159es n\u00e1\u0161 osobn\u00ed \u00fa\u010det, agent m\u00e1 p\u0159\u00edstup jak k datab\u00e1zi, tak Slack MCP a nem\u00e1 omezeno, kter\u00e9 n\u00e1stroje m\u016f\u017ee volat a kam v\u0161ude se m\u016f\u017ee na internetu dostat.<\/p>\n

\"prevention,<\/a>
\nTo znamen\u00e1, \u017ee kdy\u017e je agent n\u011bjak\u00fdm zp\u016fsobem kompromitov\u00e1n, m\u016f\u017ee d\u011blat t\u00e9m\u011b\u0159 cokoliv nejen na na\u0161em po\u010d\u00edta\u010di, ale cel\u00e9m \u0161ir\u00e9m internetu, upravit libovolnou tabulku a vystavit kamkoli ven na\u0161e data.<\/p>\n

Probl\u00e9m nastane i kdy\u017e agent funguje, tak jak m\u00e1. T\u00edm, \u017ee jsme nenastavili \u017e\u00e1dn\u00e9 limity na dotazov\u00e1n\u00ed dat si m\u016f\u017eeme \u0161kody v\u0161imnout a\u017e kdy\u017e n\u00e1m p\u0159istane faktura z GCP.<\/p>\n

\"celkov\u00fd<\/a><\/p>\n

Produk\u010dn\u00ed p\u0159\u00edstup je o n\u011bkolik \u0159\u00e1d\u016f slo\u017eit\u011bj\u0161\u00ed. Zvl\u00e1\u0161\u0165 pokud chceme, aby se agent mohl do dat dotazovat nejen, kdy\u017e s n\u00edm aktivn\u011b pracujeme, ale aby m\u011bl zadan\u00e9 pravideln\u00e9 \u00falohy, na kter\u00fdch bude d\u011blat samostatn\u011b. T\u0159eba detekovat anom\u00e1lie, d\u00e1vat doporu\u010den\u00ed ke zm\u011bn\u00e1m v marketingov\u00fdch kampan\u00edch, aktualizovat remarketingov\u00e9 listy, nebo aktualizovat predik\u010dn\u00ed model.<\/p>\n

V takov\u00e9m p\u0159\u00edpad\u011b toti\u017e chceme, aby ka\u017ed\u00fd z t\u011bchto agent\u016f m\u011bl p\u0159\u00edstup k jin\u00e9 \u010d\u00e1sti datasetu. Obecn\u011b chceme minimalizovat mo\u017enou \u0161kodu a d\u00e1vat tak pro ka\u017ed\u00fd \u00fa\u010del naprosto nezbytn\u00e9 minimum p\u0159\u00edstup\u016f a dat. Krom\u011b toho pot\u0159ebujeme pr\u016fb\u011b\u017en\u011b sledovat, co kter\u00fd agent vlastn\u011b d\u011bl\u00e1 a zp\u011btn\u011b vyhodnocovat jak je ve sv\u00e9 pr\u00e1ci \u00fasp\u011b\u0161n\u00fd, jestli se opravdu dr\u017e\u00ed vytvo\u0159en\u00e9ho postupu a kolik n\u00e1s kter\u00e1 \u010dinnost stoj\u00ed token\u016f a zpracov\u00e1n\u00ed dat. Pokud ka\u017ed\u00e9mu agentovi nebo tasku u\u017e na vstupu nep\u0159i\u0159ad\u00edme d\u016fv\u011bryhodnou identitu \u010di kontext, budeme je pozd\u011bji t\u011b\u017eko rozli\u0161ovat a jak\u00fdkoliv zp\u011btn\u00fd debugging je peklo.<\/p>\n

Syst\u00e9m m\u00e1 t\u0159i \u00farovn\u011b mantinel\u016f. Omezen\u00ed na stran\u011b spou\u0161t\u011bn\u00ed agenta (dockerizace, uzav\u0159en\u00e9 porty, p\u0159\u00edstupy pouze k t\u011bm n\u00e1stroj\u016fm, ke kter\u00fdm je nezbytn\u011b pot\u0159ebuje), omezen\u00ed na stran\u011b vlastn\u00edho MCP (identity-aware routing, vystaven\u00ed jen \u00fazk\u00fdch mo\u017enost\u00ed pou\u017eit\u00ed - nap\u0159\u00edklad read-only queries s dry-runem) a samotn\u00e9ho GCP \u00fa\u010dtu (p\u0159\u00edstupy k jednotliv\u00fdm tabulk\u00e1m, maskov\u00e1n\u00ed dat, limity per query a zejm\u00e9na QueryUsagePerUserPerDay).<\/p>\n

Kdy\u017e mantinely nesta\u010d\u00ed<\/h1>\n

P\u0159i n\u00e1vrhu bezpe\u010dnostn\u00ed politiky bychom se nem\u011bli spol\u00e9hat na to, \u017ee budeme v\u0161emu schopni p\u0159edem zabr\u00e1nit. M\u016f\u017eeme n\u011bco podcenit, n\u011bco n\u00e1s v\u016fbec nemus\u00ed na za\u010d\u00e1tku napadnout a spou\u0161t\u011bn\u00ed agent\u016f je p\u0159ece jen jin\u00e1 discipl\u00edna ne\u017e spou\u0161t\u011bn\u00ed libovoln\u011b slo\u017eit\u00e9ho skriptu. S \u017eeleznou pravidelnost\u00ed v\u00e1s bude p\u0159ekvapovat, co se svou vynal\u00e9zavost\u00ed agent vymysl\u00ed.<\/p>\n

Proto jsem nap\u0159\u00edklad zmi\u0148oval ten QueryUsagePerUserPerDay - kumulativn\u00ed omezen\u00ed per agent. Pokud toti\u017e agentovi omez\u00edme pouze velikost jednotliv\u00e9ho dotazu a on bude v\u011bd\u011bt, \u017ee mu to na spln\u011bn\u00ed \u00fakolu nesta\u010d\u00ed, tak ten dotaz s drobn\u00fdmi zm\u011bnami zavol\u00e1 v\u00edcekr\u00e1t. T\u0159eba 2000x. Ano, i to u\u017e jsme vid\u011bli.<\/i><\/p>\n

\"prevention,<\/a><\/p>\n

Pot\u0159ebujeme zp\u016fsob, jak sledovat, co agent d\u011bl\u00e1, na co se v datech dopt\u00e1v\u00e1, co se v GCP d\u011bje a m\u00edt mo\u017enost a\u0165 ji\u017e manu\u00e1ln\u011b, nebo automaticky zareagovat. V n\u011bkter\u00fdch p\u0159\u00edpadech budeme schopni agenta zastavit u\u017e v moment\u011b, kdy bude cht\u00edt d\u011blat n\u011bco, co nem\u00e1 (odm\u00edtnout konkr\u00e9tn\u00ed tool call), v n\u011bkter\u00fdch to kv\u016fli omezen\u00edm jsme schopni \u0159e\u0161it a\u017e v pr\u016fb\u011bhu (zru\u0161it b\u011b\u017e\u00edc\u00ed BigQuery job), nebo ex post. I tak m\u016f\u017eeme d\u00edky revokaci p\u0159\u00edstup\u016f, nebo jin\u00e9mu kill switch mechanismu \u0161kodu minimalizovat.<\/p>\n

I v t\u00e9to \u010d\u00e1sti plat\u00ed, \u017ee p\u0159i vyu\u017e\u00edv\u00e1n\u00ed zabudovan\u00fdch AI agent\u016f je \u010dasto cel\u00e1 \/ v\u011bt\u0161ina t\u00e9to infrastruktury u\u017e vybudovan\u00e1 a u\u0161et\u0159\u00edte si dost pr\u00e1ce.<\/p>\n

Tak\u017ee pokud v\u00e1m sta\u010d\u00ed, \u017ee je agent zav\u0159en\u00fd ve va\u0161em datov\u00e9m skladu a nechcete vyu\u017e\u00edt dotovan\u00fd subscription model, je to nejjednodu\u0161\u0161\u00ed mo\u017enost. Pro jistotu, to neznamen\u00e1, \u017ee si nemus\u00edte p\u0159i pou\u017eit\u00ed zabudovan\u00fdch agent\u016f t\u00edm cvi\u010den\u00edm ze za\u010d\u00e1tku proj\u00edt. Zabudovan\u00fd agent nerovn\u00e1 se bezpe\u010dn\u00e9 pou\u017eit\u00ed agenta v datech. Ale v moment\u011b, kdy si ty hranice v r\u00e1mci firmy nastav\u00edte, se zabudovan\u00fdmi agenty se jich m\u016f\u017eete jednodu\u0161eji dr\u017eet.<\/p>\n

Jakmile ale chcete, aby jeden agent pracoval nap\u0159\u00ed\u010d BigQuery, reklamn\u00edmi platformami, Slackem nebo intern\u00edmi API, p\u0159est\u00e1v\u00e1 v\u00e1m samotn\u00e1 bezpe\u010dnostn\u00ed vrstva datov\u00e9ho skladu sta\u010dit. A bu\u010f stejn\u011b budete muset tuto \u010d\u00e1st \u0159e\u0161it i u zabudovan\u00e9ho agenta, kter\u00e9mu budete d\u00e1vat p\u0159\u00edstup ven, nebo budete celkovou integraci \u0159e\u0161it p\u0159es extern\u00edho agenta. Celkov\u011b mi p\u0159ijde, \u017ee pracovat se spoustou uzav\u0159en\u00fdch agent\u016f v r\u00e1mci velmi mal\u00e9ho v\u00fdseku, dost limituje, co v\u016fbec s AI agenty m\u016f\u017eeme d\u011blat a je to slep\u00e1 v\u00fdvojov\u00e1 cesta.<\/p>\n

Co d\u00e1l<\/h1>\n

O monitoringu AI agent\u016f v datech jsem p\u0159edn\u00e1\u0161el na AI bootcampu a na lond\u00fdnsk\u00e9m MeasureCampu. M\u016f\u017eete si prohl\u00e9dnout prezentaci (https:\/\/docs.google.com\/presentation\/d\/1orAIhsobYNVPDQELdMiyGRXFcnLxcp3S6_fdl6qJPlA\/edit?usp=sharing<\/a>) i kdy\u017e se boj\u00edm, \u017ee samotn\u00e9 slidy v\u00e1m toho tolik ne\u0159eknou.<\/p>\n

A pokud v\u00e1s ot\u00e1zka bezpe\u010dnosti a AI agent\u016f v datech zaj\u00edm\u00e1 v\u00edc do hloubky, m\u016f\u017eete si koupit z\u00e1znam z na\u0161eho online \u0161kolen\u00ed<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Pustit AI agenta k firemn\u00edm dat\u016fm nen\u00ed samo o sob\u011b dob\u0159e, ani \u0161patn\u011b. Z\u00e1le\u017e\u00ed k jak\u00fdm dat\u016fm se dostane, co s nimi m\u016f\u017ee d\u011blat, kam je m\u016f\u017ee poslat a hlavn\u011b co se stane, kdy\u017e se agent za\u010dne chovat jinak, ne\u017e jsme \u010dekali.<\/p>\n","protected":false},"author":7,"featured_media":8715,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"wp_typography_post_enhancements_disabled":false,"footnotes":""},"categories":[370,70],"tags":[522,84,340,432],"class_list":["post-8704","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytika","category-marketing","tag-ai-agenti","tag-bezpecnost","tag-data","tag-data-driven"],"yoast_head":"\nJak bezpe\u010dn\u011b pou\u0161t\u011bt agenty do vlastn\u00edch dat | igloonet blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/igloonet.cz\/blog\/jak-bezpecne-poustet-agenty-do-vlastnich-dat\/\" \/>\n<meta property=\"og:locale\" content=\"cs_CZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Jak bezpe\u010dn\u011b pou\u0161t\u011bt agenty do vlastn\u00edch dat | igloonet blog\" \/>\n<meta property=\"og:description\" content=\"Pustit AI agenta k firemn\u00edm dat\u016fm nen\u00ed samo o sob\u011b dob\u0159e, ani \u0161patn\u011b. 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