- What: Darwinium updates mobile SDKs for in-session fraud detection
- Impact: Enhances security for banks and payment providers
Application security Darwinium updates mobile SDKs to detect in-session fraud and account farming May 20, 2026 Share By SC Staff (Adobe Stock) Silicon Angle reports that Darwinium UK Ltd. has released updates to its Android and iOS mobile software development kits, introducing continuous in-session detection capabilities for remote access scams, screen-sharing manipulation, and device tricks used in large-scale account farming. The updated SDKs are designed for banks, payment providers, and digital businesses facing sophisticated fraud that occurs after initial authentication. Unlike traditional fraud platforms that validate trust at single moments like login or payment, Darwinium's approach monitors for threats that unfold mid-session. The new features can detect live calls on collaboration tools such as Google Meet and Microsoft Teams, distinguishing between benign screen sharing and malicious remote access. For account farming, the SDKs identify techniques like app cloning, repackaged apps, multiple user profiles on a single device, and GPS spoofing. They also include emulator detection for iOS apps on macOS. Banks in Southeast Asia are already utilizing these capabilities to combat mule networks, with one customer linking over 10,000 mule accounts to their devices. These updates integrate into Darwinium's edge-based decisioning platform, providing real-time integrity data to its risk engine. Source: Silicon Angle SC Staff Related Container security Edera and Minimus partner for end-to-end container security SC Staff May 19, 2026 The partnership addresses the growing threat of AI-powered vulnerability discovery, which is accelerating the pace at which adversaries can exploit open-source software. Critical Infrastructure Security TeamPCP releases ‘vibe coded’ Shai-Hulud source code, issues challenge Laura French May 15, 2026 The variant was used in recent attacks against TanStack and others – but it’s not the original, researchers say. AI/ML The blind spot in AI security: Resilience for model and training data Chris Mierzwa May 15, 2026 AI resilience, not speed alone, will decide which enterprises survive AI-era breaches. Related Events Cybercast CISO Stories: AI Security (Blackhat Preview) – Arctic Wolf Thu Jul 9 Cybercast Protecting Application User Data for Better Privacy, Governance, and Compliance On-Demand Event Cybercast The Next Evolution of Application Security: AI- Accelerated DevSecOps On-Demand Event Get daily email updates SC Media's daily must-read of the most current and pressing daily news Business Email By clicking the Subscribe button below, you agree to SC Media Terms of Use and Privacy Policy . Subscribe Related Terms Banner Browser Cache Cramming Common Gateway Interface (CGI) Client Cookie DLL Injection Dynamic Link Library You can skip this ad in 5 seconds