What is Context-aware authentication?Context-aware authentication is an advanced security approach that dynamically adapts how users are verified based on real-time risk signals gathered from multiple data sources. Unlike traditional methods that always apply the same authentication steps, context-aware solutions evaluate a combination of user behavior, device characteristics, location, network environment, and the actions being performed. This results in a security system that is smarter and more responsive—providing the right level of protection for each access attempt or transaction.
Context-aware authentication is also known as contextual authentication, adaptive authentication, risk-based security, or fraud-aware authentication. With this approach, financial institutions can significantly reduce fraud while delivering frictionless customer experiences. Entersekt’s Context Aware™ Authentication is a leading example of this technology, helping banks protect against today’s evolving fraud risks without burdening legitimate users.
How Context-aware authentication works
Key data signals used Context-aware authentication platforms collect a variety of contextual signals to accurately gauge risk:
Device data: Device ID, operating system, and security posture.
Location information: GPS data, IP address, and previously registered locations.
User behavior: Typical login patterns, typing rhythm, and transaction history.
Transaction context: Type of action, such as money transfer versus checking balance, payment amount, and recipient.
Network and environment: Wi-Fi vs. public network, connection speed, and anomalies in access time.
Real-time risk evaluation and response
Each authentication request undergoes a rapid, automated risk analysis using machine learning and sophisticated rule sets. If signals indicate low risk (for example, a customer logging in from their regular device at home), the system may use silent or low-friction authentication such as biometrics or device possession. For high-risk scenarios (like a new device or unusual location), the system can require step-up verification, including one-time passwords, facial recognition, digital signing, or even prompt a temporary lockout.Entersekt’s platform integrates hundreds of fraud risk data points through a unified API, providing centralized risk analysis and authentication orchestration across digital banking and payment channels. Learn more about how it works with Entersekt Banking Authentication.
Benefits for financial institutions and customers
Key advantages
Reduced fraud: Adaptive and risk-based verification sharply curbs account takeover, phishing, and man-in-the-middle attacks. Entersekt clients report up to a 99% reduction in digital fraud after deployment.
Seamless user journeys: Legitimate customers face fewer authentication hurdles, decreasing abandonment and enhancing satisfaction.
Regulatory compliance: Context-aware authentication supports PSD2 Strong Customer Authentication (SCA) and other global data security regulations.
Cost efficiencies: By automating risk analysis, banks can consolidate vendors, streamline operations, and reduce call center overhead related to password resets and blocked accounts.
Future-proof security: Flexibility to add new signals and adapt to emerging fraud schemes, including AI-driven scams and account takeovers.
Discover more about fraud and scam prevention with Entersekt, and how context-aware technologies help banks fight new types of scams.
Context-aware vs. traditional authentication approaches
Traditional authentication
Context-aware authentication
Static rules (same for all users)
Real-time risk scoring, dynamic response
Relies on passwords, PINs, SMS OTP
Leverages device, location, biometrics, and more
Reactive to threats
Proactive, prevents fraud before it happens
Often frustrates users
Frictionless journeys for trusted interactions
Vulnerable to modern scams
Resilient against account takeover and phishing
Traditional authentication methods, such as passwords, SMS one-time passwords, and even fixed multi-factor authentication (MFA), no longer provide adequate protection against sophisticated cyber threats. Context-aware authentication assesses each access attempt or transaction with a tailored approach, making it harder for attackers to bypass security controls.
Digital banking: Trigger step-up authentication only for high-risk transactions, such as large transfers or new device registrations, while allowing trusted logins to proceed seamlessly.
Payment fraud defense: Analyze payment context and behavioral patterns to block unauthorized card-not-present transactions in real time.
Account takeover prevention: Flag suspicious access attempts , such as unusual time or location, and require advanced biometrics before granting access.
Other industries
eCommerce: Reduce checkout abandonment by streamlining authentication for regular customers, only challenging risky or high-value purchases.