Risk-Based Authentication in Banking & Finance: Strengthening Fraud Prevention & Customer Trust

QKS Group Reports Strong Growth in the Risk-Based Authentication Market in Western Europe, Projected to Achieve Above-Average CAGR by 2028
The Risk-Based Authentication (RBA) market in Western Europe is poised for significant growth. As cyber threats become increasingly sophisticated, organizations are prioritizing advanced, adaptive authentication solutions. RBA technologies, with their capability to deliver context-aware and dynamic security, are expected to play a crucial role in regional cybersecurity strategies.
Growing investments in cybersecurity from both private enterprises and government institutions will further fuel market expansion. With Western Europe at the forefront of digital innovation and regulatory compliance, the adoption of RBA solutions will remain robust, ensuring sustained market momentum.
Key Questions Addressed in This Study:
What are the current and future competitive dynamics in the Western European Risk-Based Authentication market?
How will vendors position themselves across different customer segments, from SMBs to large enterprises, by 2028?
What will be the market share of cloud-based versus on-premises RBA solutions in Western Europe by 2028?
How do vendors compare in terms of product offerings and capabilities?
What are the strengths and challenges faced by key players in the Western European RBA market?
What are the projected market trends and growth forecasts across major industries?
What competitive factors will influence vendor positioning in the market?
Strategic Market Insights
QKS Group defines Risk-Based Authentication as a technology that passively and continuously monitors, analyzes, and authenticates users based on behavioral, cognitive, and response attributes. These include keystroke dynamics, device handling, touchscreen interaction, mouse movements, navigation patterns, form context and fluency, and data familiarity throughout the customer lifecycle. RBA leverages advanced analytics and machine learning to generate behavioral risk scores, reducing false positives, minimizing risk identification and remediation time, and enabling a seamless user experience.
Vendors covered in this Study:
Accops, Appgate, BPC, Broadcom, CoffeeBean Technology, CyberArk, Duo Security (Cisco), IBM, Kount, LexisNexis Risk Solutions, LoginRadius, Microsoft, Okta, OneLogin, OneSpan, Ping Identity, Prove, RSA Security, SecureAuth, Silverfort, Swivel Secure, and TransUnion.
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