AI is Reshaping Identity and Access Management: Expert Insights from Cybersecurity Veteran Sudhakar Tiwari

SCHAUMBURG, IL / ACCESS Newswire / June 9, 2025 /In the modern digital era, identity and access have emerged as the cornerstones of organizational security. As businesses become increasingly reliant on digital ecosystems, protecting user identities is more critical than ever. However, the advent of Artificial Intelligence (AI) has introduced complex and evolving threats, necessitating swift transformation in Identity and Access Management (IAM) systems.

Sudhakar Tiwari, Principal Solutions Architect, Zurich Services US LLC, IEEE Senior Member, and certified cybersecurity professional with CISM and CISA, brings more than 18 years of IAM infrastructure transformation experience to global businesses. At Zurich, Tiwari 's strategic initiatives have led to major improvements in customer satisfaction, business process simplification, and operating cost reductions. His experience supports the need for solid identity management to establish customer trust and business agility. Tiwari points out that top-performing organizations use customer data securely and operationally continuously, creating a basis for long-term success.

"The future of IAM is not just about securing customer information," says Tiwari. "It 's about protecting organizational trust, brand reputation, and economic resilience. Every organization undergoing digital transformation must prepare now, not react later."

As AI advances rapidly, identity-based cyber threats are becoming more complex and harder to detect. In the near future, adversaries are likely to utilize AI and machine learning not only to automate attacks but also to personalize and adapt them in real time, precisely targeting individuals and systems. Deepfakes, AI-driven phishing campaigns, identity spoofing, and adaptive malware are just a few examples of how emerging technologies are reshaping the threat landscape.

With cybercriminals leveraging AI to scale real-time attacks such as credential stuffing, deepfakes, and bots capable of bypassing multi-factor authentication, static IAM systems relying on preconfigured rules are proving ineffective. These conventional systems lack the integration, visibility, and adaptability required to respond to rapidly evolving threats.

Tiwari points out the value of adaptive IAM models that incorporate AI and machine learning to build more resilient and intelligent access frameworks. Key elements of such models include:

• Behavioral Analytics: These systems establish baseline behavior patterns and flag deviations that may indicate threats.

• Contextual Access Controls: Access permissions are adjusted dynamically based on contextual signals like location, device, and usage patterns.

• Continuous Monitoring and Response: Using AI to monitor usage continuously and respond instantly to suspicious activities.

• AI-Augmented Decision Making: Allowing systems to autonomously approve or restrict access through risk-based, probabilistic evaluations.

As identity-based attacks become increasingly personalized and automated, these advanced IAM systems are vital for enforcing least-privilege principles, deterring insider threats, and safeguarding cloud and hybrid infrastructures.

Tiwari also emphasizes the importance of cultural evolution alongside technological change. "A resilient security culture must be rooted in constant vigilance, cross-functional collaboration, and shared responsibility," he adds. "Security can no longer exist in silos. It must be embedded across every layer of the organization."

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SOURCE: Zurich Services US LLC

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