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Home»Cybersecurity»How AI is revolutionizing the validation and security of modern IAM
Cybersecurity

How AI is revolutionizing the validation and security of modern IAM

By February 3, 2025No Comments4 Mins Read
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In an age where AI is integrated into almost every field of operation, digital identity, a key component of enhancing the user experience, is also experiencing the transformation of AI. Srikanth Mandru Cybersecurity experts are leveraging Artificial Intelligence (AI) to change their identity and access management (IAM). As a passionate cybersecurity participant, he led an initiative to integrate AI into Identity and Access Management (IAM), working with accredited bodies to advance AI-driven solutions at IAM, and he said, “AI is the one that has been working on. We have published a paper titled “How to Improve Identity Verification and Access Control.” IAM’s AI Impact Process” has established itself as a reliable voice in cybersecurity and digital identity management.

Change IAM with AI

Mandru’s contribution to IAM can demonstrate how AI can address long-standing challenges within the domain. Traditional IAM systems often rely on stable credentials, such as passwords that are vulnerable to violations and inefficiencies. By introducing AI, Mandle tried to amplify its effectiveness as well as safety. By implementing AI in IAM and implementing an automated verification system, the costs associated with manual verification have been reduced. Furthermore, reducing the reliance on traditional IAM has improved speed as a by-product, accuracy of identity verification, and low security risk.

Encourage AI-driven solutions

One of Mandru’s main projects is the development of AI-based biometric authentication systems. These systems use fingerprinting, facial and speech recognition technologies enhanced by AI algorithms to improve accuracy and reduce false matching. This has changed the reduction in people’s identity, making it faster and more secure to ensure access to data and systems.

Mandru implements behavioral biometric authentication for ongoing authentication. This approach tracks user patterns such as typing speed and mouse movement to validate identity in real time. “Continuous authentication ensures that access control is maintained throughout the session, not just at the time of the entry,” Mandru says. This initiative significantly reduced the risk of unauthorized access.

In addition to these, Mandru also focuses on adaptable access control systems. These systems use AI to scrutinize factors such as where you are, what devices you are using, how they work. Next, you’ll find a sweet spot between changing who goes into what, keeping things safe and making things easier for users.

Quantitative results

Mandru’s AI-driven IAM solution has achieved impressive results. Biometric verification systems now have very few margins of errors while increasing user reliability. Incorporating automation into the IAM process also created organizational responsiveness and reduced operational costs by relying on manual monitoring. Furthermore, by addressing vulnerabilities in traditional IAM systems, Mandru’s initiative significantly reduces security risks and protects sensitive data from violations.

Some considerations

A journey to change IAM is not without hurdles. Mandru successfully addresses issues such as AI algorithm bias to ensure fair and equitable access control for all users. He also solves the scalability challenges associated with IAM’s AI, allowing the system to handle more and more users and devices, and carefully balanced the balance between AI’s data processing capabilities and user privacy protection. , ensuring compliance with privacy standards.

The future of IAM

When asked about IAM trends, Srikanth Mandru’s vision for IAM is what AI is increasingly playing a central role. He predicts trends such as zero trust architecture and decentralized identity frameworks will further encourage AI integration. Automation continues to streamline IAM processes, improve security, and reduce security team workloads. Given the development, he recommends integrating AI-driven behavioral biometrics and adaptive access control into the IAM framework to increase security and operational efficiency.

Srikanth Mandru’s work to include AI-driven solutions in IAM through human oversight is an example for organizations looking to incorporate AI, increase security and protect their identities to increase efficiency in a connected world .

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