Usage Scope

Learn how Socure Phone Risk predicts fraud risk and validates phone-to-identity correlation.

Product tiers

Phone Risk

Available globally 🌍

Lightweight enrichment with flexible inputs

  • Probabilistic phone risk scores (0.001–0.999).
  • Correlation score between name and phone (0.01–0.99).
  • Reason codes explaining fraud risk, tenure, or correlation outcomes.
  • Assess risk in real time for profile updates, onboarding, and authentication.
  • Enable progressive onboarding with minimal PII.
Phone Risk + Real-Time SIM Swap Verification

Available in supported U.S. carriers 📶

Everything in Phone Risk PLUS

  • Actionable SIM swap reason codes.
  • Configurable validation window.
  • Identify high-risk events such as account takeovers and fraudulent transactions.
  • Protect onboarding, OTP flows, and high-value transactions from SIM swap fraud.
  • Defend call center interactions against fraudsters using swapped numbers.

Supported countries and formatting requirements

Phone Risk is currently available in 80+ countries, providing international phone-based identity insights.

Regional coverage and phone formatting reference
Country NameISO Country CodePhone Country CodeNational Phone Number Length (Digits)Format StandardValidations Performed
AlbaniaAL3558–9E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
ArgentinaAR5410E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
AustraliaAU619E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
AustriaAT437–13E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
AzerbaijanAZ9949E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
BahrainBH9738E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
BangladeshBD88010E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
BelgiumBE328–9E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
BelizeBZ5017E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
BoliviaBO5918E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
Bosnia and HerzegovinaBA3878E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
BrazilBR5510–11E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
Brunei DarussalamBN6737E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
BulgariaBG3597–9E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
CambodiaKH8558–9E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
CanadaCA110E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
ChileCL569E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
ChinaCN8611E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
ColombiaCO5710E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
Costa RicaCR5068E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
Cote d'Ivoire / Ivory CoastCI2258E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
CroatiaHR3858–9E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
CyprusCY3578E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
Czech RepublicCZ4209E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
DenmarkDK458E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
Dominican RepublicDO110E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
EcuadorEC5938–9E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
EgyptEG209–10E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
El SalvadorSV5038E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
EstoniaEE3727–8E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
FinlandFI3585–12E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
FranceFR339E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
GeorgiaGE9959E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
GermanyDE495–11E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
GhanaGH2339E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
GreeceGR3010E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
GuatemalaGT5028E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
HondurasHN5048E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
Hong KongHK8528E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
HungaryHU368–9E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
IcelandIS3547E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
IndiaIN9110E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
IndonesiaID629–12E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
IrelandIE3537–9E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
IsraelIL9728–9E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
ItalyIT396–11E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
JamaicaJM110E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
JapanJP819–10E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
JordanJO9628–9E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
KazakhstanKZ710E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
KenyaKE2549E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
KuwaitKW9658E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
LatviaLV3718E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
LebanonLB9617–8E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
LiechtensteinLI4237E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
LithuaniaLT3708E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
LuxembourgLU3528–9E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
MacauMO8538E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
MalaysiaMY609–10E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
MaltaMT3568E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
MexicoMX5210E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
MoroccoMA2129E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
NepalNP9779E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
NetherlandsNL319E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
New ZealandNZ648–9E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
NicaraguaNI5058E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
NigeriaNG2347–10E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
NorwayNO478E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
OmanOM9688E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
PakistanPK9210E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
PanamaPA5078E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
ParaguayPY5959E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
PeruPE519E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
PhilippinesPH6310E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
PolandPL489E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
PortugalPT3519E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
QatarQA9748E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
RomaniaRO409E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
Saudi ArabiaSA9669E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
SingaporeSG658E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
SlovakiaSK4219E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
SloveniaSI3868E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
South AfricaZA279E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
South KoreaKR829–10E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
SpainES349E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
Sri LankaLK949E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
SwedenSE467–10E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
SwitzerlandCH419E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
TaiwanTW8869E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
TanzaniaTZ2559E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
ThailandTH669E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
TurkeyTR9010E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
UgandaUG2569E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
UkraineUA3809E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
United Arab EmiratesAE9719E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
United KingdomGB449–10E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
United StatesUS110E.164E.164 validation, numeric validation, length validation, prefix validation, area code validation, no symbols/spaces
UruguayUY5987–8E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
UzbekistanUZ9989E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
VenezuelaVE5810E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing
VietnamVN849E.164E.164 validation, numeric validation, length validation, prefix validation, phone number cleansing

Industries it fits

  • Financial services: Account opening, fraud prevention, progressive onboarding
  • E-commerce: Checkout fraud prevention, return abuse detection
  • Payments: Reduce risk in P2P transfers and high-value transactions
  • Gaming & media: Stop fake accounts, bonus abuse, duplicate accounts
  • Telecom: Validate new phone numbers during profile changes and SIM/line updates
  • Call centers & CX: Real-time trust checks for number changes and OTP delivery
  • Plus other digital onboarding and fraud risk workflows

Business and operational outcomes

1. For fraud and risk teams

  • Identify high-risk phone numbers in real time.
  • Reduce OTP-related ATO by validating the destination number’s risk and ownership.
  • Leverage multiple model scores per call for testing and migration.
  • Gain transparency with reason codes for both risk and correlation.

2. For growth and onboarding teams

  • Progressive onboarding: Establish trust early with only a phone number (optionally name/address for correlation).
  • Reduced friction: Let good users through while blocking risky numbers.
  • Adaptive signals: Multiple models tuned for different fraud/risk trade-offs.

3. For support and operations

  • Fewer escalations: Clearer signals reduce review queues.
  • Transparent explanations: Reason codes help agents understand outcomes.
  • Lightweight integration: Minimal required fields keep implementation fast.

Performance considerations

  • Fast responses: Sub-second latency on average in production.
  • Always available: 99.99%+ uptime with global redundancy.
  • Built for scale: Supports tens of millions of risk checks per day.
  • Smart models: Multiple models can run in parallel to optimize accuracy and fraud capture.

Boundary conditions

  • Phone number + country are required: correlation accuracy improves when first and last name are also provided.
  • Multiple models: Test challenger vs. production models to tune thresholds.