MWONGOZO wa Jamii

Usalama wa AI

Usalama wa AI hulinda miundo, data, zana na huduma zinazozunguka dhidi ya ufikiaji au upotoshaji usioidhinishwa.

Sikiliza mwongozo huuInaonyeshwa na AI · ~2 min

Anza kusomaChukua chemsha bongo
Katika ukurasa huudk 2 kusoma
  1. Muhtasari
  2. Mambo muhimu ya kuchukua
  3. Dive ya kina
  4. Locate the security boundary
  5. Utekelezaji wa Ulimwengu Halisi
  6. Kuiweka katika vitendo
  7. Vyanzo na kusoma zaidi
  8. Endelea Kuchunguza
  9. Maswali yanayoulizwa mara kwa mara

Muhtasari

It includes ordinary software security and threats that target learning or model behavior. A secure design begins with the assets, adversaries, and trust boundaries of the actual application.

Mambo muhimu ya kuchukua

  1. Threat-model the full application.
  2. Enforce permissions outside the model.
  3. Retest controls across system changes.

Dive ya kina

Identify what needs protection: private inputs, training data, model artifacts, credentials, connected accounts, and external actions. Record who can influence each input and what an attacker could gain from a failure. A public chatbot and an internal agent with write access have different threat models. Threats can affect different stages. Poisoned training material can alter learned behavior; adversarial inputs can manipulate predictions; untrusted retrieved content can redirect a tool-using application. Model output can also become dangerous when inserted into a database query, webpage, or command without appropriate handling. Apply controls at the software boundary. Enforce authorization in code, keep secrets out of model-visible context where possible, restrict tool scope, and validate outputs before use. A prompt asking a model to behave safely cannot replace account isolation or permission checks. Test representative failure paths in an authorized environment and maintain an incident process. Log enough information to investigate without collecting unnecessary sensitive content. Evaluate controls after changes to the model, retrieval sources, tools, and dependencies. Describe residual risk honestly; no single filter establishes complete protection.

04Mfano uliofanya kazi

Locate the security boundary

  1. Imagine an assistant searching a private document store for a signed-in user.

  2. Apply the user’s access filter in the retrieval service before documents enter the model context.

  3. Test with a document belonging to a different account and verify that neither its contents nor identifying metadata appear in the result.

Nini inaonyesha

This defensive, hypothetical test checks authorization independently of the model’s willingness to follow instructions.

Utekelezaji wa Ulimwengu Halisi

Check that one account cannot retrieve another account’s documents.

Validate generated fields before using them in a database operation.

Kuiweka katika vitendo

Kwa nini ni muhimu

  • Hatari na usalama. Madhara makubwa na ya kila siku ya AI hutegemea ni nani anayeelewa hatari na ni nani anayeweza kuchukua hatua.
  • Maamuzi ya wazi zaidi. Usomaji wa umma na kitaaluma huchagiza ikiwa sera thabiti ya usalama inawezekana kisiasa.
  • Kukata hype. Ufafanuzi wazi hupunguza kunasa kwa hype, PR ya maabara, na ukumbi wa michezo wa maadili usioeleweka.

Jihadharini na

  • Kutibu hatari iliyopo kama sci-fi huku uwezo ukichanganya.
  • Kuchanganya usalama wa bidhaa ya uso na upatanishi chini ya uhuru wa juu.
  • Inawaacha watazamaji wasio wa Kiingereza na wasio wataalamu wenye vyanzo vya ubora wa chini pekee.

Hatua zinazofuata

  1. Tenganisha madhara ya bidhaa, matumizi mabaya, na hasara ya udhibiti / hatari za kupotosha.
  2. Uliza ni ushahidi gani unaweza kubadilisha maoni yako kuhusu kalenda na ukali.
  3. Pendelea vyanzo vya msingi na tathmini thabiti kuliko madai ya uuzaji.
  4. Tambua njia moja ya hatua: kazi, sera, ufadhili, au ujuzi - sio tu ufahamu.

Vyanzo na kusoma zaidi

  1. NISTAdversarial machine learning taxonomy

Endelea Kuchunguza

Usalama wa AI

Kutoka kwa kushindwa kwa bidhaa hadi hatari ya janga.Soma Mwongozo

Mpangilio wa AI

Kufanya mifumo yenye nguvu kufuata malengo yaliyokusudiwa.Soma Mwongozo

AGI

Ni mifumo gani ya jumla ingebadilika.Soma Mwongozo

Utawala wa AI

Nani anaweza kuzuia maendeleo ya mipaka.Soma Mwongozo

Jarida halali

Pata taarifa ya kila siku ya AI

Hadithi tatu za AI zilizothibitishwa kila asubuhi ya wiki, zimetengenezwa kwa Kiingereza rahisi. Bila malipo daima, hakuna matangazo.

Barua pepe moja kila siku ya wiki. Jiondoe kwa bonyeza moja. Hatutauza au kushiriki anwani yako.

Jijaribu mwenyewe

Take the AI Security quiz

Maoni ya haraka juu ya kila jibu, na cheti kinachoweza kushirikishwa na kitambulisho kinachoweza kuthibitishwa baada ya kupita kozi.

Anza chemsha bongo

Changia elimu ya AI bila malipo. AI Understanding ni 501(c)(3) isiyo na faida — hakuna matangazo, hakuna kizuizi cha malipo, daima. Toa mchango

Maswali yanayoulizwa mara kwa mara

Is a strong system prompt enough to secure an assistant?

No. Authentication, authorization, input and output handling, tool limits, and incident response remain necessary parts of the application.

Endelea kujifunza

Miongozo inayohusiana

Miongozo zaidi imechaguliwa kwa mada hii

Pata cheti cha AI bureKozi fupi na mtihani bila malipo. Bila kadi. Hata dakika 2.5.Anza bure →