[{"data":1,"prerenderedAt":100},["ShallowReactive",2],{"uc-reg-au-scams-prevention-framework":3},{"regulation":4,"includeUnpublished":11,"indexable":12,"useCases":13},{"id":5,"label":6,"issuer":7,"region":8,"url":9,"description":10},"au-scams-prevention-framework","Australian Scams Prevention Framework","Australian Treasury","asia-pacific","https://treasury.gov.au/consultation/c2024-573813","Economy wide obligations for banks, telcos and digital platforms to prevent, detect, disrupt and respond to scams.",false,true,[14,52,82],{"slug":15,"title":16,"shortTitle":17,"definition":18,"status":19,"industries":20,"functions":22,"patterns":26,"audience":30,"autonomy":31,"adoptionStage":32,"segment":33,"evidenceCount":34,"publicEvidenceCount":34,"organizations":35,"bestGrade":38,"headline":39,"lastVerified":49,"indexable":12,"euAiActTier":50,"euAiActBasis":51},"telecom-fraud-detection","AI for telecom fraud detection (SIM swap, IRSF and Wangiri)","Telecom fraud detection","AI that protects the operator's own network, revenue and numbers from fraud: it watches call, messaging, roaming and account activity to detect SIM swap and port out takeovers, international revenue share fraud (IRSF) and Wangiri one ring scams, blocks or flags them in real time, and shares risk signals with banks and other businesses that rely on the phone number for security. Scam calls aimed at subscribers are handled by call blocking.","published",[21],"telecommunications",[23,24,25],"fraud-prevention","network-operations","security-operations",[27,28,29],"anomaly-detection","prediction-and-scoring","classification-and-routing","back-office","supervised-agent","early-adopters","customer-protection",4,[36,37],"Telstra","Vodafone","B",{"kpi":40,"label":41,"unit":42,"n":43,"nUpTo":44,"kind":45,"value":46,"qualifier":47,"claimant":48,"organization":37,"vendorReported":11},"detection-rate-improvement","Detection improvement","percent",1,0,"reported",30,"exact","organization","2026-09-27","context-dependent","Fraud detection is not listed as high risk in Annex III, and point 5(b) explicitly excludes systems used to detect financial fraud from the creditworthiness category. Blocking fraud traffic is not normally a safety component of critical digital infrastructure (point 2). The tier can change if the same scores are reused for an Annex III purpose: eligibility for essential public assistance benefits and services (point 5(a)), creditworthiness or credit scoring of natural persons (point 5(b)), or risk assessment and pricing for life and health insurance (point 5(c)). A voice or chat agent that takes fraud reports from customers also carries the Article 50(1) duty to tell people they are dealing with an AI system.",{"slug":53,"title":54,"shortTitle":55,"definition":56,"status":19,"industries":57,"functions":60,"patterns":62,"audience":66,"autonomy":31,"adoptionStage":32,"segment":67,"evidenceCount":68,"publicEvidenceCount":68,"organizations":69,"bestGrade":38,"headline":75,"lastVerified":79,"indexable":12,"euAiActTier":80,"euAiActBasis":81},"scam-payment-interception","AI scam intervention for instant payments","Scam payment interception","AI that talks to the customer when they are about to authorise an instant payment that looks like a scam: it combines the payee check and the risk score, asks targeted questions about the payment in plain language, explains the specific scam pattern, and holds, delays or escalates the payment to a human specialist when the risk stays high. Unlike fraud scoring, which stops payments the customer did not make, it protects customers from payments they are being manipulated into making.",[58,59],"banking","payments",[23,61],"customer-service",[63,28,64,65],"conversational-agent","agentic-workflow","voice-agent","customer-facing","front-office",6,[70,71,72,73,37,74],"Commonwealth Bank of Australia","Mastercard","Revolut","Starling Bank","Westpac",{"kpi":40,"label":41,"unit":42,"n":76,"nUpTo":44,"kind":45,"value":77,"qualifier":47,"claimant":78,"organization":73,"vendorReported":12},2,300,"vendor","2026-09-26","limited","Annex III point 5(b) expressly excludes AI systems used to detect financial fraud from the high risk creditworthiness category, so the scoring is not high risk. The conversational part must disclose that it is AI under Article 50(1). If a voice component infers the customer's emotions from their voice, it becomes an emotion recognition system under Annex III point 1(c), which is high risk and needs the Article 50(3) notice, so keep coaching detection to what is said rather than to biometric signals.",{"slug":83,"title":84,"shortTitle":85,"definition":86,"status":19,"industries":87,"functions":88,"patterns":89,"audience":66,"autonomy":90,"adoptionStage":91,"segment":33,"evidenceCount":92,"publicEvidenceCount":92,"organizations":93,"bestGrade":38,"headline":97,"lastVerified":79,"indexable":12,"euAiActTier":98,"euAiActBasis":99},"spam-and-scam-call-blocking","AI spam and scam call blocking for mobile and landline subscribers","Spam and scam call blocking","AI in the operator's network that protects subscribers from unwanted calls: it analyses incoming calls in real time, blocks known fraudulent calls, and labels suspected scam, spam and spoofed calls on the customer's screen before they answer, so subscribers can decide whether to pick up. Fraud against the operator itself, such as SIM swap or revenue share fraud, is a separate use case.",[21],[23,61],[27,29,28],"autonomous","mainstream",5,[94,95,36,96],"Bell Canada","BT Group","Virgin Media O2",null,"minimal","Scoring, blocking and labelling calls is not listed in Annex III, is not a prohibited practice under Article 5, and the system does not interact with people or generate content, so Article 50 does not apply. A conversational scambaiting agent such as O2's Daisy talks to callers with a synthetic voice, which raises separate Article 50 transparency questions and should be assessed on its own.",1790598320211]