By leveraging continuous behavioral risk assessment and AI-driven analytics, organizations can enhance authentication measures and proactively detect and mitigate security threats.
*** Corporation, a multinational company, is looking to bolster its security by adopting a zero-trust model. As part of this initiative, the company plans to implement risk-based adaptive Multi Factor Authentication (MFA) to enhance user authentication and counter the growing threat landscape.
The implementation of MFA is aimed at mitigating various threats such as credential theft, phishing attacks, brute force attacks, man-in-the-middle attacks, and replay attacks.The implementation strategy includes adopting Risk-Based Adaptive MFA, educating users on MFA grading, mitigating MFA fatigue, and leveraging AI and Machine Learning.
The benefits and outcomes of this strategy include an enhanced security posture, improved user experience, and proactive threat mitigation.
In conclusion, the implementation of risk-based adaptive MFA with Sharelock enables organizations like *** Corporation to fortify their security posture in the face of evolving threats. By leveraging continuous behavioral risk assessment and AI-driven analytics, organizations can enhance authentication measures, mitigate MFA fatigue, and proactively detect and mitigate security threats, ultimately advancing towards a robust zero-trust security model.For more detailed information, please download the original file.
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