In an era where AI is being integrated in almost all areas of operations, digital identity which is an important factor in enhanced user experience is also experiencing an AI makeover. Srikanth Mandru a cyber security expert is leveraging artificial intelligence (AI) to change Identity and Access Management (IAM). As an enthusiastic participant in cybersecurity, he has led initiatives to integrate AI in Identity and Access Management (IAM), collaborated with recognized institutions to advance AI-driven solutions in IAM and published papers titled,” How AI Can Improve Identity Verification and Access Control Processes”, on the impact of AI in IAM, establishing himself as a credible voice in cybersecurity and digital identity management.
Changing IAM with AI
Mandru’s contributions to IAM can show how AI can address long-standing challenges in the domain. Traditional IAM systems often rely on stable credentials, like passwords, which are vulnerable to breaches and inefficiency. By bringing in AI, Mandru attempted to amp up not just safety but also effectiveness. By introducing AI in IAM and implementing automated verification systems there was reduced expenses related to manual verification. Further, there was enhanced speed, accuracy in identity verification and low-security risks as a byproduct, by reducing reliance on traditional IAM.
Encouraging AI-Driven Solutions
One of Mandru’s major projects involves developing AI-based biometric authentication systems. These systems use fingerprint, facial, and voice recognition technologies enhanced by AI algorithms to improve accuracy and reduce false matchings. This has led to a change in nailing down people’s IDs making it quicker and safer to secure access to data and systems.
Mandru has also implemented behavioural biometrics for continuous authentication. This approach tracks user patterns, such as typing speed and mouse movements, to verify identities in real time. “Continuous authentication ensures that access control is maintained throughout a session, not just at the point of entry,” says Mandru. This initiative has significantly reduced the risk of unauthorized access.
Besides these, Mandru also focuses on adaptable access control systems. These systems use AI to scrutinize factors like where you are, what device you’re using, and how you behave. They then modify who gets into what, finding a sweet spot between keeping things secure and making it easy for users.
Quantifiable Results
Mandru’s AI-driven IAM solutions have delivered impressive results. Biometric verification systems now work with very little margin of error while enhancing user confidence. The incorporation of automation in IAM processes has also created responsiveness and operational cost savings for organizations by relying less on manual oversight. Moreover, by addressing vulnerabilities in traditional IAM systems, Mandru’s initiatives have significantly mitigated security risks, protecting sensitive data from breaches.
Some Considerations
The journey to change IAM has not been without its hurdles. Mandru has successfully addressed issues like bias in AI algorithms, ensuring fair and unbiased access controls for all users. He has also solved scalability challenges associated with AI in IAM, enabling the system to handle a growing number of users and devices, and ensuring compliance with privacy standards by carefully balancing AI’s data-processing capabilities with user privacy protection.
The Future of IAM
When asked about the trends in IAM, Srikanth Mandru’s vision for IAM is one where AI plays an increasingly central role. He predicts that trends like Zero Trust architectures and decentralized identity frameworks will further drive the integration of AI. Automation will continue to streamline IAM processes, improving security while reducing workload for security teams. Given the developments, he recommends integrating AI-driven behavioural biometrics and adaptive access control into their IAM frameworks to enhance security and operational efficiency.
With Human supervision, Srikanth Mandru’s work of including AI-driven solutions in IAM can be an example for organizations trying to incorporate AI to increase security, safeguard identities to increase efficiencies in the connected world.
