Threat modelling AI applications
Data flows, trust boundaries and tools of an AI application are mapped to identify where untrusted inputs could manipulate the model or where data could leak.
GCRI · Zîrekiya çêkirî û pergalên xweser
Cybersecurity and cryptography protect AI pergalan and the data they use. In this field the focus is threats specific to AI, such as prompt injection, poisoning and model theft, alongside conventional security of the software and infrastructure around models.
Cybersecurity and cryptography protect information pergalan and data from unauthorised access, disruption and manipulation. They address threats that can spread rapidly across interconnected digital and physical systems. In artificial intelligence and data and compute, cybersecurity analysis identifies how a single compromise can propagate across sectors that share software, vendors or networks. It informs resilience requirements and cyber insurance. The canonical description is on STEM Commons.
Data flows, trust boundaries and tools of an AI application are mapped to identify where untrusted inputs could manipulate the model or where data could leak.
Provenance of datasets and model weights is recorded and verified with signatures and hashes before use.
Applications are tested with suites of injection attempts, and the success rate is tracked as defences change.
The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.
AI and autonomous systems · Cybersecurity for AI systems · Run R-5953
| Weak key rotation | Identity service | Bilind | PR.AA | Vekirî |
| Unpatched gateway | Edge | Bilind | PR.PS | Fixing |
| Logging gap | API ya dayînê | Navîn | DE.CM | Vekirî |
| Stale accounts | Rêber | Kêm | PR.AA | Closed |
Datasets and records used by cybersecurity and cryptography on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.
| Dane | Rol | Nîşan |
|---|---|---|
| MITRE ATLAS techniques | Threat catalogue | REPORTED |
| Vulnerability databases | Known flaws | REPORTED |
| Security test results | Defence performance | ÇAVDÊRÎKIRÎ |
A Şopa metirsîyê hebûnên li heman cihî di her qatê de ji holê radike; perçebûn, girêdayîbûna di navbera qatan de û barkirina zêde ya yên mayî paşê têkçûnê belav dikin. Dîmena 3D qatan bi kûrahiyê ji hev vediqetîne. Modela hînkirinê bi nirxên ronîker ên diyarkirî, ne pêşbînî.
Kontrol
Xwendin
| Gav | Navendên daneyê yên ku dixebitin (%) | Tor yên ku dixebitin (%) | Hêz dixebite (%) |
|---|---|---|---|
| 0 | 94 | 100 | 100 |
| 1 | 89 | 67 | 100 |
| 2 | 72 | 67 | 100 |
| 3 | 72 | 67 | 78 |
The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:
Li seranserê şeş stûnan, bi pêşengiya Nexus Consortium
Controls are tested through red-team exercises, audits and formal analysis of cryptographic schemes. Incident data are used to check whether defences performed as intended.
| Kontrol bikin | How it is done |
|---|---|
| Threat model review | Threat models are reviewed when the application or its tools change |
| Provenance verification | Model artefacts are checked against signed records |
| Regression testing | Security tests are rerun after each update |
Adversaries adapt, so historical data may not reflect future attacks. Software supply chains and legacy systems introduce weaknesses that are hard to inventory.
Model, texmînên wî, daneyên wî û nediyariya wî, bi şeweyê ku zanyar an endezyar kontrol bike. Avahî rêbazên weşandî dişopînin. Nirxên hatine xêzkirin nimûneyî ne, ne encam in.
The model structure used for Cybersecurity for AI systems, the assumptions it makes and how each is tested.
Ri = f(Hi, Ei, Vi, Ci)metirsî, rûbirûbûn, lawazî û kapasîteya serederiyêEAL = ∑k pk · Lkli ser bûyerên k bi îhtîmala salane pkxt+1 = A xt + B ut + εtA carries the couplings, u the shock, ε the error| Texmîn | Çima tê çêkirin | Çawa tê ceribandin |
|---|---|---|
| Metirsî û rûbirûbûn di nav bûyerekê de serbixwe ne | Entegrala windahiyê ji hesabkirinê re maqûl dihêle | Bi lihevhatineke copula li ser tomarên hevbeş re bidin ber hev |
| Girêdan li nêzî xala xebatê xêzik in | Dihêle şok di A de belav bibin | Ji derveyî rêza xêzik tevlihev bike û bide ber hev |
| Xêzên lawaziyê di navbera cihan de têne veguhastin | Xêzikên herêmî kêm tên dîtin | Li hember windahiyên çavdêrîkirî erê bike li cihê ku hene |
Ewlehiya sîber û berxwedana dîjîtal stewards cybersecurity and cryptography for the Consortium and reviews how it is applied across platforms.
rêzeya Pergalên Stratejîk is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
Tu carî daneyên şexsî, hûrgiliyên binesaza hesas an tiştekî ku mafê we yê parvekirinê tune ne neşînin. Beşdarî berî bikaranînê tê nirxandin; şandina wê nivîskarî an mafên edîtorî nade û sponsorî tu carî encamekê nakire.
Agahî û pirs îro vekirî ne. Pirsek referansekê distîne û gava piştî wê dide nasîn; serlêdan, drav, veqetandina hesabkirinê û tomarkirin tenê dema ku tîm, mercên wê û kapasîteya vekolînê hebin vedibin.
Nexşe, dane û jimarên vê malperê ji bo çarçoveyê û agahiyên giştî têne nîşandan. Ew ne şîret, ne pêşbînî û ne hişyarî ne; sînorên agahiyê di Daxuyaniyên Berpirsiyariyê û Daxuyaniyên Daneyê de hatine diyarkirin.
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