What do you think the world’s third-largest economy is? According to Cybersecurity Ventures, it’s cybercrime. Their report says the global annual cost of cybercrime may hit USD 9.5 trillion in 2024 and reach $10.5 trillion by 2025, literally making it “the world’s third-largest economy after the U.S. and China”. Ransomware is the “most immediate threat” on a global scale, with damages costing victims nearly USD 265 billion annually by 2031, a drastic increase from $42 billion expected in 2024.
One thing is clear: In today’s digital landscape, security is more critical than ever.
Multi-factor authentication (MFA), which became mainstream in the mid-2000s, has been a key tool in enhancing security for over two decades, safeguarding online accounts by requiring multiple forms of identification, thereby adding layers of protection against unauthorized access. However, as threats have evolved, so too needs more sophisticated security measures, leading to the development of Adaptive MFA (AMFA).
Traditional MFA and its benefits
Traditional MFA improves security by requiring users to provide multiple forms of identification before accessing a system. This typically includes:
1. Something the user knows (Knowledge Factor): Like a password or a PIN.
2. Something the user owns (Possession Factor): Such as a smartphone or a security token.
3. Something that the user is (Inherence Factor): A biometric identifier like a fingerprint.
These layers of security make it much harder for unauthorized users to gain access, as they would need to bypass multiple barriers. MFA thereby reduces the risk associated with traditional single-factor authentication, which relies only on usernames and passwords.
Limitations of Traditional MFA
Traditional MFA applies the same security checks to all users, regardless of the context, which can sometimes create unnecessary friction. As the digital environment became more complex, the limitations of traditional or static MFA became more apparent.
That’s what led to Adaptive MFA (AMFA)
AMFA, also known as risk-based authentication, adds an ‘intelligent’ layer that assesses the context and risk of each login attempt. By analyzing factors such as user behavior, location, and device type, AMFA can adjust the authentication requirements accordingly, providing a more effective security solution. It evaluates the context of each access attempt—such as the user’s location, device, and behavior—and adjusts the security requirements based on the assessed risk.
What makes MFA adaptive?
AMFA uses key elements to assess the risk level of each login attempt and determine the appropriate level of security, for example:
- Geolocation: The physical location of the login attempt is analyzed. Unusual or unexpected locations may trigger additional authentication steps.
- Device Recognition: The system checks whether the device being used is recognized or trusted. New or unknown devices might require more stringent verification.
- Behavioral Biometrics: Adaptive MFA can monitor and analyze user behavior, such as typing patterns or navigation habits, to detect anomalies that could indicate a security threat.
How does it work exactly?
Adaptive MFA couples the authentication process with real-time risk analysis. When a user attempts to log in, the system compares their current behavior and context against an established risk profile, which outlines what is considered normal for that user. If the login attempt falls within the expected parameters, access is granted with minimal additional verification. However, if the attempt appears unusual—such as logging in from a new location or device—the system assigns a higher risk score and triggers additional security challenges like answering security questions, entering a one-time password sent to a registered device, or providing biometric verification. AMFA may also use machine learning and artificial intelligence to continuously monitor user behavior throughout the session.
Key Benefits of AMFA over MFA Security that adjusts based on assessed risk
Unlike static MFA, which applies the same security measures universally, AMFA evaluates contextual factors to ensure that only authorized users gain access. This dynamic approach makes it much harder for attackers to exploit vulnerabilities.
Improved user experience
Traditional MFA can be cumbersome, especially when users need to log in frequently or from familiar devices. AMFA streamlines the process by only triggering additional authentication steps when necessary.
Streamlines access from recognized devices
AMFA also improves efficiency by recognizing trusted devices and routine login behaviors. For example, if an employee regularly logs in from the same device and location during business hours, Adaptive MFA might allow them to access their account with minimal verification.
When considering an AMFA solution, Akku offers a standout option that combines security with a user-friendly platform. Protect your systems more effectively. Reach out to Akku today.