Biography
Tarun Kalwani is an accomplished Principal Engineer with over 19 years of experience in architecting, designing, and delivering secure, scalable, and high-performance enterprise systems in the Telecom, Airlines, and Financial Services sectors. As a technical leader at Verizon, he drives large-scale cloud and application modernization projects such as monolith-to-microservices transformation, multi-brand architecture integration, and mission-critical system revitalization using Core Java, Spring Boot, AWS Cloud, Kubernetes, and GenAI-powered development pipelines. He is also leading the design and development of AI-based use cases in the telecom space, such as intelligent fraud analysis, real-time transaction monitoring, customer behavior analytics, and AI-assisted operational optimization of large-scale wireless and retail networks.
Tarun has been acknowledged for his knowledge and experience in secure software development, application modernization, distributed system design, and AI architecture. He has led strategic programs such as Verizon’s Prepay NSA modernization, Bill Pay Kiosk transformation, and the AWS Lambda migration of Delta Airlines’ Load & Balancing application. He has in-depth expertise in microservices, CI/CD automation, event-driven design, AI model integration, and production-grade observability, combining technical acumen with strong mentoring and leadership of global engineering teams.
Also, very active in the international tech community, Tarun is an IEEE Senior Member and a very active peer reviewer, having reviewed over 60+ international conference papers in the areas of AI/ML, cloud computing, security, and intelligent systems. He is a judge for academic and engineering showcases, such as the Georgia Tech Capstone Design Expo and the Kennesaw State University Computing Showcase. He is the author of several scholarly contributions, including a published comparative study on monolith-to-microservices migration approaches.
With a unique blend of architectural sophistication, domain diversity, AI innovation, and leadership, Tarun has continued to make a difference through secure design, scalable cloud-native engineering, and responsible AI adoption in telecom and enterprise domains.
Abstract
Title: Generative AI and Emerging Cybersecurity Challenges
Abstract: As organizations increasingly adopt Generative AI and AI agents to automate business flows, they face security risks that traditional application security practices may not fully address. AI agents can access sensitive information, interact with enterprise APIs, and execute tasks with limited human involvement, which can introduce opportunities for cyberattacks.
This session examines key security challenges, including prompt injection, misuse of AI tools, RAG data poisoning, unauthorized access, and exposure of sensitive business information. It also discusses practical ways to address these risks through zero-trust principles, agent identity management, access controls, secure API interactions, and continuous monitoring.
Drawing on enterprise architecture and DevSecOps practices, the presentation will explore how organizations can build security into AI applications from the beginning rather than addressing vulnerabilities after deployment. The goal is to share practical approaches that help organizations adopt agentic AI while maintaining control over security, data access, and business operations.
