Most of the fraud starts with an Account Takeover, malware infection, or fake consultant advising users to install software for remote control.A decade of online banking protection brought multiple detection mechanisms to distinguish between real users and cybercriminals.
The user profiles, device fingerprints, and activity patterns are the perfect combination for an advanced features matrix.
Increased cybercriminals activity accompanied lack of specialists forces maximum automation. MPShield is provided in SECaaS (Security As A Sevice / SaaS) model, which reduces infrastructure and maintenance costs on organization side.
MPShield armored in multiple modules (anti-phishing, anti-fraud and anti-malware) accurately calculates risk based on multiple factors like device profile, historical usage, type of transaction, presence of malicious software, misuse of device or misguidance of online service user by fraudsters (remote desktop and fake-investments attacks).
MPShield has been designed to allow quick deployment in the production environment without building new and dedicated interfaces for data exchange. MPShield can be briefly described as a plug-and-play solution providing fire-and-forget technology in a cybercrime fight.
MPShield is based on AI/ML algorithms, and fraud teams experience. This unique combination proved their efficiency in threat detection. MPShield analyzes the stream of data to detect and predict possible cyber threats in real time.