It correlates real-time network activity with high-risk user actions, like payment initiation. If a transaction occurs while the user is on an unusual network activity — a common scam pattern — the API flags it as potentially fraudulent.

CAMARA, the open-source project led by the Linux Foundation in collaboration with the GSMA, aims to universalise network APIs under the same standards for all telecommunications companies.

No, Scam Signal does not access or analyze call content. It only uses anonymized metadata. The API respects user privacy and complies with all data protection regulations.

Primarily banks, fintechs, and payment providers. Any organization seeking to reduce social engineering fraud (like APP scams) can use this API to improve detection and intervene in real time.

No, Scam Signal is delivered as a standardized API via GSMA Open Gateway, with consistent implementation across telecom networks. Most institutions can integrate it within existing fraud platforms or decisioning engines with minimal effort.

No, It's designed to complement existing tools such as SIM Swap detection, KYC Match, and behavioral analytics. It adds unique telecom-layer insight that enriches fraud models and increases their accuracy.

Yes. In the UK, participating banks have reported up to 41% reduction in scams in progress, 44% drop in fraud losses, and 55% fewer false positives after implementing Scam Signal.