US-based AI fraud prevention company Darwinium has announced updates to its Android and iOS mobile SDKs, enabling banks, payment providers, and digital businesses to detect remote access scams, in-session manipulation, and account farming operations. The updated SDKs are available immediately to existing customers.
The release addresses a recognised gap in conventional fraud prevention approaches, which typically validate trust at discrete moments such as login or payment rather than continuously across the customer session.
In-session manipulation detection
The updated SDKs detect signals continuously across a session rather than at single checkpoints. Capabilities include live call detection on collaboration platforms, covering Google Meet, Microsoft Teams, and Slack, which are increasingly used by fraudsters to social-engineer victims in real time. The SDKs also provide screen-sharing detection with contextual analysis, distinguishing between benign uses such as casting to a television and higher-risk scenarios such as a remote access tool handing control to a third party. Darwinium notes that the same underlying signal can represent materially different risk levels depending on context.
Account farming protection
The updates also extend Darwinium's detection of account farming, a technique through which fraudsters operate multiple accounts from the same device or environment at scale. In banking, this can support mule networks. In gaming and gambling, it can enable collusion and geo-restriction bypass. When it comes to ecommerce and fintech, it can drive promotion and referral abuse.
New capabilities include app cloning detection, emulator detection covering iOS apps running on macOS via PlayCover, app integrity checks using component hashes to identify repackaged or modified applications, detection of multiple user profiles on a single device, and identification of mock location and GPS spoofing used to circumvent geo-restrictions and jurisdictional controls.
Platform integration and industry context
The updated SDKs operate within Darwinium's broader journey-level fraud prevention platform, which unifies device, behavioural, and identity intelligence across customer interactions. Rather than functioning as a standalone device fingerprinting tool, the mobile SDK feeds real-time device integrity signals into the same risk engine that analyses web, API, and behavioural data, providing fraud teams with a continuous view of trust and risk across channels.
The release reflects growing pressure on fraud prevention infrastructure from two converging trends. Remote access scams have increased in sophistication, with fraudsters exploiting legitimate collaboration tools to manipulate victims during live banking sessions. Simultaneously, account farming operations have scaled through automated device emulation and app cloning, creating risk across banking, gaming, and ecommerce platforms that existing point-in-time verification approaches were not designed to address.
