Aduna, Deutsche Telekom, mBank, and Vonage Collaborate on AI Banking Security at World Banking Forum
Aduna, Deutsche Telekom, mBank, and Vonage are collaborating at the World Banking Forum in Athens to showcase new approaches to secure digital banking, announced in a press release. The event brings together banking and technology leaders to discuss how AI, 5G, and network APIs can help reduce fraud and improve customer authentication.
The collaboration highlights how embedding mobile network capabilities directly into banking applications can strengthen fraud prevention. Network APIs enable banks to access verified network data in real time, allowing for seamless and secure interactions while minimizing fraudulent activity.
Aduna, a joint venture involving Deutsche Telekom and Ericsson, acts as an aggregator of network capabilities, making them accessible to developers. Vonage provides APIs and SDKs that integrate these capabilities into banking systems, helping automate verification processes and enhance fraud detection.
Executives from the participating companies stated that the use of network APIs in authentication workflows has already delivered measurable benefits in improving security and customer trust. The joint initiative underscores the growing role of telecom infrastructure and AI in strengthening the digital banking ecosystem.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Finance AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Finance
Sep 15 Peak3 Launches Graphene v4 and AI Delivery System for Insurers Sep 15 Ritholtz picks Hadrius to oversee firmwide Claude use Sep 15 Anthropic Launches Claude for Financial Advisors Sep 15 FRS and ProfitTrust Launch AI Customs Duty Recovery Platform Sep 14 Wealthbox Connects Advisor CRM Data to ClaudeFinance AI Weekly
Weekly newsletter about AI in finance. Covers AI-driven trading, fintech innovations, and data analytics transforming markets
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Tyfone Acquires ATTUNE for Digital Banking and Lending Platform
AI Guardian and Cyberify Partner on AI Security for Financial Firms
Synchrony Adds OpenAI Models and ChatGPT Offers Plugin
Union Savings Bank Uses NGDATA AI Hub for Churn Detection
Ai Global Solutions Launches Financial Services Practice
Daily AI Brief: the AI news that matters, in your inbox.