Identity and Access Management is extremely complex and critical in managing security risks. Effective IAM can help organizations achieve operating efficiency and optimal security through state of the art technology and automation such as risk based, adaptive, multi-factor and biometric authentication. Additionally, increasing number of distributed cloud systems, BYOD, remote workforce, IoT, and data breach cases require smarter approach to identity and access management by leveraging new technologies.

IAM requires robust processes & system for user onboarding and identity verification, granting and removing access, detecting suspicious activities and keeping unauthorized users out of the systems. Organizations must also demonstrate effective measures towards these to comply with increasing, complex and distributed regulations. 

Multifactor & Password-less Authentication

• Make the transition away from passwords, hardware tokens and SMS OTP to frictionless mobile authentication factors like push notifications and biometrics
• Biometric technology that integrates your customers’ individual physical attributes, including their fingerprints, voice and facial features, into your authentication strategy
• Using these methods alongside other factors such as device recognition and analytics provides security and convenience
• Leverage Mobile to Authenticate Users - Turn customer mobile phones into credentials for authenticating access to your bank and activity on any channel
• Future-Ready Mobile SDKs  to start protecting more customers for less and build value. The SDK’s native and user-friendly architecture hides all the complexity of the cryptographic operations

• Multi-Channel Support: Online, Mobile, ATM/POS, IVR & Branch Offices
• Single authentication system that enables old, new and next-gen authenticators with only one integration
• Stop Challenging Good Customers - Stop relying on ambiguous “risk-based” variables which generate false positives. Clearly identify risk and suspicious behavior and control event volume
• APIs for Integration and Administration through Web Services, RADIUS & SAML
• Drive digital transformation by enabling trusted communication with end users and their devices

Financial Transaction & Activity Monitoring

• Detect, learn and predict fraudulent activity using behavioural analysis and machine learning
• Analyzes user behaviour and send alerts on any deviations from established regular behavioural patterns
• Combine This cutting-edge machine intelligence with user-defined analytics, rules, policies and workflows for comprehensive coverage and flexibility
• Completely Non-Intrusive Deployment
• Reduce Burden of Alert Management
• Protect Your Customers with Real-Time Decisioning
• Dynamic Fraud Detection
• Common Point of Compromise Detection
• Combine with Out-Of-band Authentication & Mobile Protection
• Integrated Case Management and Reporting

     Some of the frauds that can be detected are listed as follows.

• Debit card theft
• Debit card cloning
• ATM/POS skimming
• Abnormal ATM usage
• Suspicious activity for recently opened accounts
• Multiple accounts per IP address
• New account fraud
• Fraudulent account opening
• URL manipulation
• Compounded risk assessments on multiple changing factors, sequence of events
• Card-type determination
• Card order/reorder velocity
• Card denial history
• Merchant code rejection/blocking
• Geo-fencing blocks on/off
• Usage timing/distance detection
• Transaction velocity detection
• Payee deviation from normal
• Detection of mule accounts
• Location-based account activity anomalies
• Transaction amount deviation from normal

back...