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Darwinium, the AI fraud prevention company, today announced updates to its Android and iOS mobile SDKs. It enables banks, payment providers, and digital businesses to tackle the proliferation of remote access scams, including those that manipulate live sessions and account farming operations that run mule networks. The updated SDKs detect signals continuously across the session, including live call detection on collaboration platforms and screen-sharing detection with context.
SDK detects live calls on Google Meet, Microsoft Teams, and Slack huddles used for social engineering.
Distinguishes benign screen sharing (Google Cast to TV) from malicious (TeamViewer handing control to attacker).
Account farming protection includes app cloning detection, emulator detection, multiple user profiles, and GPS spoofing.
One banking customer linked more than 10,000 mule accounts to underlying devices through device intelligence.
New coverage for iOS apps running on macOS via PlayCover for scaling mobile fraud from desktop environments.
Updated SDKs available immediately to all Darwinium customers.
“Most fraud platforms validate trust at a single moment, typically at login or payment, through device binding, authentication, or a step-up challenge,” said Alisdair Faulkner, CEO and co-founder of Darwinium. “But agentic-fueled mobile fraud doesn't happen at specific moments. It happens everywhere, in a complex path of subterfuge. A customer who has legitimately authenticated can still be coached, coerced, or silently observed into moving money. Even behavioral biometrics, when applied as a single check, can miss the moment a screen share starts, or a remote-access tool is activated mid-journey.”
Where scams exploit a single victim, account farming exploits scale. It creates risk across industries by allowing fraudsters to operate multiple accounts from the same device or environment. In banking, this can support mule networks. In gaming and gambling, it can enable collusion rings and attempts to bypass geo-restrictions. In e-commerce and fintech, it can drive promotion and referral abuse.
Darwinium's capabilities now help identify the device evasion techniques behind these operations, including app cloning detection (catching apps duplicated specifically to maintain multiple simultaneous identities), emulator detection (new coverage for iOS apps running on macOS via PlayCover), app integrity checks via component hashes, multiple user profiles on a single device, and mock location and GPS spoofing.
The updated SDKs work within Darwinium's broader journey-level fraud prevention platform, which unifies device, behavioral, and identity intelligence across every customer interaction. Rather than operating as a standalone device fingerprinting tool, Darwinium's mobile SDK feeds real-time device integrity signals into the same risk engine that analyzes web, API, and behavioral data, giving fraud teams a single, continuous view of trust and risk.
Darwinium is the AI Fraud Prevention Company, built to protect and grow revenue at every touchpoint across the customer journey. Its edge-based risk decisioning platform distinguishes trusted from risky human and AI behavior, resulting in 50% less fraud and 40% greater operational efficiency. From first interaction through high-risk actions and payments, Darwinium protects the moments that matter most, so digital leaders can confidently grow and protect revenue.
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