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Anindya

Majumdar

Data Security Platform Engineer

Nomura

Anindya is a Data Security Platform Engineer at Nomura, specializing in the design and operation of secure, scalable cybersecurity platforms. With more than a decade of experience spanning cybersecurity engineering, platform engineering, and site reliability engineering, he focuses on privileged access management, secret management, infrastructure automation, and platform resilience. Anindya has led initiatives to modernize security architectures, strengthen business continuity, and improve disaster recovery capabilities across cloud and on-premises environments. His expertise includes CyberArk, ForgeRock, SIEM, vulnerability management, DevSecOps, and observability, helping organizations build secure, reliable, and compliant technology foundations.

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29 July 2026 12:45 - 13:30

Panel | What should we actually measure? Defining success for agentic systems

Many organizations can measure how often an agent runs. Far fewer can confidently measure whether it is succeeding. As agentic systems take on more complex tasks, defining success becomes increasingly difficult. Teams must balance technical metrics, user outcomes, operational reliability, and business impact while accounting for behaviour that can vary across different situations and environments. This panel examines how organizations are approaching measurement in agentic AI, the signals they trust, the metrics they ignore, and the frameworks emerging to evaluate performance beyond uptime and cost alone. The conversation will explore what meaningful success looks like and how teams are building the visibility needed to measure it consistently.