Network Fraud Signals
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Built for Industries Where Fraud Costs the Most
Fraud Signals Bundles
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FAQs
How does T-Mobile’s Network Fraud Signals detect SIM swap fraud?
How does T-Mobile’s Network Fraud Signals detect SIM swap fraud?
- T-Mobile’s Network Fraud Signals query our network directly to check whether a SIM card associated with a phone number has been recently changed. Because this signal comes from the carrier network itself, not from device behavior or user input, it's verified at the source and significantly harder for fraudsters to spoof. Enterprises can query this signal in real time at high-risk moments like login, password reset, or payment changes to trigger step-up authentication or block access before an account is compromised.
What types of fraud can T-Mobile's network fraud signals help prevent?
What types of fraud can T-Mobile's network fraud signals help prevent?
- T-Mobile’s Network Fraud Signals help enterprises address a range of fraud scenarios including account takeover (ATO) via SIM swap attacks, synthetic identity fraud at onboarding, payment and checkout fraud, unauthorized account changes, and SMS OTP bypass. Because the signals are verified at the network level, covering SIM status, device-SIM linkage, subscriber tenure, and account changes, they complement behavioral and device-based fraud tools by adding a layer of intelligence that operates independently of user input.
Do you support CAMARA APIs?
Do you support CAMARA APIs?
- Yes. T-Mobile supports CAMARA-standardized versions of our Network Fraud Signals, giving you access to network-verified intelligence through the open, industry-standard API specifications maintained by the CAMARA project. This makes integration more consistent and portable across carriers and platforms.
How does T-Mobile’s Network Fraud Signals integrate with my existing fraud platform?
How does T-Mobile’s Network Fraud Signals integrate with my existing fraud platform?
- T-Mobile’s Network Fraud Signals are available as modular API bundles that integrate directly into your existing fraud decisioning systems, identity platforms, and risk scoring models without requiring a platform replacement. You can consume pre-configured bundles or select individual signals à la carte to fill specific gaps in your current stack. Our team works with you during onboarding to identify the right integration approach for your infrastructure.
What industries can benefit from T-Mobile’s Network Fraud Signals?
What industries can benefit from T-Mobile’s Network Fraud Signals?
- T-Mobile’s Network Fraud Signals are used across many industries including financial services, e-commerce and retail, gaming, social media, healthcare, and insurance — any industry where mobile identity verification, account security, and fraud prevention at scale are priorities. Financial services and e-commerce see the highest impact given ATO rates and chargeback exposure, but the signals are applicable to any enterprise managing high-volume customer interactions where trust and identity verification are critical. Contact our team to discuss your specific industry and use case.
How does T-Mobile’s Network Fraud Signals detect SIM swap fraud?
How does T-Mobile’s Network Fraud Signals detect SIM swap fraud?
- T-Mobile’s Network Fraud Signals query our network directly to check whether a SIM card associated with a phone number has been recently changed. Because this signal comes from the carrier network itself, not from device behavior or user input, it's verified at the source and significantly harder for fraudsters to spoof. Enterprises can query this signal in real time at high-risk moments like login, password reset, or payment changes to trigger step-up authentication or block access before an account is compromised.
How does T-Mobile’s Network Fraud Signals integrate with my existing fraud platform?
How does T-Mobile’s Network Fraud Signals integrate with my existing fraud platform?
- T-Mobile’s Network Fraud Signals are available as modular API bundles that integrate directly into your existing fraud decisioning systems, identity platforms, and risk scoring models without requiring a platform replacement. You can consume pre-configured bundles or select individual signals à la carte to fill specific gaps in your current stack. Our team works with you during onboarding to identify the right integration approach for your infrastructure.
What types of fraud can T-Mobile's network fraud signals help prevent?
What types of fraud can T-Mobile's network fraud signals help prevent?
- T-Mobile’s Network Fraud Signals help enterprises address a range of fraud scenarios including account takeover (ATO) via SIM swap attacks, synthetic identity fraud at onboarding, payment and checkout fraud, unauthorized account changes, and SMS OTP bypass. Because the signals are verified at the network level, covering SIM status, device-SIM linkage, subscriber tenure, and account changes, they complement behavioral and device-based fraud tools by adding a layer of intelligence that operates independently of user input.
What industries can benefit from T-Mobile’s Network Fraud Signals?
What industries can benefit from T-Mobile’s Network Fraud Signals?
- T-Mobile’s Network Fraud Signals are used across many industries including financial services, e-commerce and retail, gaming, social media, healthcare, and insurance — any industry where mobile identity verification, account security, and fraud prevention at scale are priorities. Financial services and e-commerce see the highest impact given ATO rates and chargeback exposure, but the signals are applicable to any enterprise managing high-volume customer interactions where trust and identity verification are critical. Contact our team to discuss your specific industry and use case.
Do you support CAMARA APIs?
Do you support CAMARA APIs?
- Yes. T-Mobile supports CAMARA-standardized versions of our Network Fraud Signals, giving you access to network-verified intelligence through the open, industry-standard API specifications maintained by the CAMARA project. This makes integration more consistent and portable across carriers and platforms.
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