Analysis of a client's email to detect potential fraud. The check may include:
- Email age (mobile, virtual, VoIP – the latter is considered riskier)
- Whether the email is associated with fraudulent schemes
- If it has been involved in data breaches
- Domains (public services like Gmail vs. suspicious private domains)

Analysis of a phone number for authenticity and possible risks. The check may include:
- Type of number (mobile, virtual, VoIP – the latter is considered riskier)
- Number age (recently registered numbers may indicate fraud)
- Whether the number has been used in fraud schemes
- Geographic match (does the number correspond to the client's country of registration)

Determining unique characteristics of a client's device (phone, computer) to detect anomalies and prevent fraud. The check may include:
- IP address and geolocation (does it match the declared location)
- Use of VPN, proxies, or emulators
- Operating system and browser (suspicious configurations)
- Whether the device is linked to other accounts (digital fingerprint analysis)

A temporary code sent via SMS to verify a user's identity. It is used only once and remains valid for a short time (usually 1–5 minutes
- IP address and geolocation (does it match the declared location)
- Use of VPN, proxies, or emulators
- Operating system and browser (suspicious configurations)
- Whether the device is linked to other accounts (digital fingerprint analysis)

A process of verifying the authenticity of an identity document (passport, driver's license, national ID, etc.). Used in banks, fintech services, online platforms, and government services.
• Email age (mobile, virtual, VoIP – the latter is considered riskier)
• Whether the email is associated with fraudulent schemes
• If it has been involved in data breaches
• Domains (public services like Gmail vs. suspicious private domains)

This process prevents fraud using fake photos, masks, or videos.
• Type of number (mobile, virtual, VoIP – the latter is considered riskier)
• Number age (recently registered numbers may indicate fraud)
• Whether the number has been used in fraud schemes
• Geographic match (does the number correspond to the client's country of registration)

Verification of a client's address through documents (e.g., utility bills) or databases to confirm that the person actually resides at the specified address.
• IP address and geolocation (does it match the declared location)
• Use of VPN, proxies, or emulators
• Operating system and browser (suspicious configurations)
• Whether the device is linked to other accounts (digital fingerprint analysis)

Identity verification without using physical documents. Alternative methods include digital footprint analysis, biometrics, mobile operator data, or banking transactions.
• IP address and geolocation (does it match the declared location)
• Use of VPN, proxies, or emulators
• Operating system and browser (suspicious configurations)
• Whether the device is linked to other accounts (digital fingerprint analysis)

Government databases with digital citizen identifiers, allowing quick and secure identity verification.
• IP address and geolocation (does it match the declared location)
• Use of VPN, proxies, or emulators
• Operating system and browser (suspicious configurations)
• Whether the device is linked to other accounts (digital fingerprint analysis)

Checking a client against databases of undesirable persons, including fraudsters, terrorists, individuals with bad credit histories, or sanction lists.
• Email age (mobile, virtual, VoIP – the latter is considered riskier)
• Whether the email is associated with fraudulent schemes
• If it has been involved in data breaches
• Domains (public services like Gmail vs. suspicious private domains)

Customer verification via a video call with an agent who checks the person's face and documents in real time.
• Email age (mobile, virtual, VoIP – the latter is considered riskier)
• Whether the email is associated with fraudulent schemes
• If it has been involved in data breaches
• Domains (public services like Gmail vs. suspicious private domains)

Comparing a client's face with databases of known individuals to identify public figures (PEP) or fraudsters.
• IP address and geolocation (does it match the declared location)
• Use of VPN, proxies, or emulators
• Operating system and browser (suspicious configurations)
• Whether the device is linked to other accounts (digital fingerprint analysis)

Checking whether a client has multiple registrations in the system to prevent fraud (e.g., using fake identities).
• IP address and geolocation (does it match the declared location)
• Use of VPN, proxies, or emulators
• Operating system and browser (suspicious configurations)
• Whether the device is linked to other accounts (digital fingerprint analysis)

Verification of all required client documents (passport, driver's license, utility bills, etc.) as part of KYC compliance.
• IP address and geolocation (does it match the declared location)
• Use of VPN, proxies, or emulators
• Operating system and browser (suspicious configurations)
• Whether the device is linked to other accounts (digital fingerprint analysis)

A standard that allows authentication via a mobile app without using a web browser. QR codes may be used for authentication token transfer.
• IP address and geolocation (does it match the declared location)
• Use of VPN, proxies, or emulators
• Operating system and browser (suspicious configurations)
• Whether the device is linked to other accounts (digital fingerprint analysis)

A ready-made solution for integrating identification into a web application, enabling biometric user authentication directly in the browser.
• IP address and geolocation (does it match the declared location)
• Use of VPN, proxies, or emulators
• Operating system and browser (suspicious configurations)
• Whether the device is linked to other accounts (digital fingerprint analysis)

Determining unique characteristics of a client's device (phone, computer) to detect anomalies and prevent fraud. The check may include:
- IP address and geolocation (does it match the declared location)
- Use of VPN, proxies, or emulators
- Operating system and browser (suspicious configurations)
- Whether the device is linked to other accounts (digital fingerprint analysis)

A fraud detection method that tracks user behavior online or on a platform. It includes:
- Analysis of user habits (typing speed, click frequency, mouse movements, etc.)
- Unusual activity patterns, such as logging in from a new device or location, often at night

A biometric authentication method using facial recognition. It employs machine learning and AI algorithms to compare a user's face with a stored photo. This can be part of login authentication or an additional security layer in two-factor authentication (2FA).
- IP address and geolocation (does it match the declared location)
- Use of VPN, proxies, or emulators
- Operating system and browser (suspicious configurations)
- Whether the device is linked to other accounts (digital fingerprint analysis)

Checking a client against databases of undesirable persons, including fraudsters, terrorists, individuals with bad credit histories, or sanction lists.
• Email age (mobile, virtual, VoIP – the latter is considered riskier)
• Whether the email is associated with fraudulent schemes
• If it has been involved in data breaches
• Domains (public services like Gmail vs. suspicious private domains)

Customer verification via a video call with an agent who checks the person's face and documents in real time.
• Email age (mobile, virtual, VoIP – the latter is considered riskier)
• Whether the email is associated with fraudulent schemes
• If it has been involved in data breaches
• Domains (public services like Gmail vs. suspicious private domains)

Comparing a client's face with databases of known individuals to identify public figures (PEP) or fraudsters.
• IP address and geolocation (does it match the declared location)
• Use of VPN, proxies, or emulators
• Operating system and browser (suspicious configurations)
• Whether the device is linked to other accounts (digital fingerprint analysis)

Checking whether a client has multiple registrations in the system to prevent fraud (e.g., using fake identities).
• IP address and geolocation (does it match the declared location)
• Use of VPN, proxies, or emulators
• Operating system and browser (suspicious configurations)
• Whether the device is linked to other accounts (digital fingerprint analysis)

Verification of all required client documents (passport, driver's license, utility bills, etc.) as part of KYC compliance.
• IP address and geolocation (does it match the declared location)
• Use of VPN, proxies, or emulators
• Operating system and browser (suspicious configurations)
• Whether the device is linked to other accounts (digital fingerprint analysis)

A standard that allows authentication via a mobile app without using a web browser. QR codes may be used for authentication token transfer.
• IP address and geolocation (does it match the declared location)
• Use of VPN, proxies, or emulators
• Operating system and browser (suspicious configurations)
• Whether the device is linked to other accounts (digital fingerprint analysis)

A ready-made solution for integrating identification into a web application, enabling biometric user authentication directly in the browser.
• IP address and geolocation (does it match the declared location)
• Use of VPN, proxies, or emulators
• Operating system and browser (suspicious configurations)
• Whether the device is linked to other accounts (digital fingerprint analysis)

Determining unique characteristics of a client's device (phone, computer) to detect anomalies and prevent fraud. The check may include:
- IP address and geolocation (does it match the declared location)
- Use of VPN, proxies, or emulators
- Operating system and browser (suspicious configurations)
- Whether the device is linked to other accounts (digital fingerprint analysis)

A fraud detection method that tracks user behavior online or on a platform. It includes:
- Analysis of user habits (typing speed, click frequency, mouse movements, etc.)
- Unusual activity patterns, such as logging in from a new device or location, often at night

A biometric authentication method using facial recognition. It employs machine learning and AI algorithms to compare a user's face with a stored photo. This can be part of login authentication or an additional security layer in two-factor authentication (2FA).
- IP address and geolocation (does it match the declared location)
- Use of VPN, proxies, or emulators
- Operating system and browser (suspicious configurations)
- Whether the device is linked to other accounts (digital fingerprint analysis)

Checking a client against databases of undesirable persons, including fraudsters, terrorists, individuals with bad credit histories, or sanction lists.
- Email age (mobile, virtual, VoIP – the latter is considered riskier)
- Whether the email is associated with fraudulent schemes
- If it has been involved in data breaches
- Domains (public services like Gmail vs. suspicious private domains)

Customer verification via a video call with an agent who checks the person's face and documents in real time.
• Email age (mobile, virtual, VoIP – the latter is considered riskier)
• Whether the email is associated with fraudulent schemes
• If it has been involved in data breaches
• Domains (public services like Gmail vs. suspicious private domains)