Srija Saha is a cybersecurity expert, AI researcher, and technology strategist, specializing in network security, zero-trust architectures, and AI-driven risk mitigation. With a career spanning Oracle, PwC, and IBM, she has been instrumental in securing cloud infrastructures, optimizing cybersecurity frameworks, and driving innovation in AI-powered threat intelligence. Currently based at Oracle Cloud Infrastructure in Santa Clara, Srija plays a key role in developing network security policies and compliance strategies for enterprise-scale cloud platforms. Her expertise in zero-trust packet routing, secure data exchange, and adversarial AI defense mechanisms has positioned her at the forefront of next-generation cybersecurity solutions. Beyond her industry contributions, Srija is an accomplished researcher and technical reviewer for leading IEEE and Elsevier conferences. She has co-authored research papers in cybersecurity, AI-driven analytics, and software lifecycle optimization, and her work has been recognized for its impact on security frameworks and digital resilience. Srija has served as a judge at international business competitions, evaluating cutting-edge advancements in secure AI implementations. She has received accolades such as the Times Power Icons, and other prestigious industry recognitions, reflecting her influence in shaping the future of secure, scalable, and AI-driven digital ecosystems. A thought leader in the field, Srija continues to push the boundaries of AI and cybersecurity convergence, ensuring that intelligent systems are not only powerful but also resilient, ethical, and secure in an increasingly complex digital landscape.
Cybersecurity Expert, AI researcher, and Technology Strategist
Title: The Uncertainty Paradox: How AI Shapes Decision-Making, Risk, and Security
In high-stakes environments—whether managing supply chains, optimizing financial strategies, or securing digital infrastructures—decisions are rarely straightforward. AI systems now operate as silent architects of uncertainty, constantly balancing trade-offs between efficiency, adaptability, and resilience. But as these systems become more autonomous, the stakes rise: a miscalculated risk, an unaccounted variable, or an unseen security gap can have cascading consequences. Our talk delves into the intersection of predictive intelligence, adaptive decision models, and cybersecurity resilience, exploring how industries leverage AI to optimize under uncertainty while safeguarding against evolving threats. We’ll uncover how AI refines decision-making beyond human intuition, how optimization frameworks recalibrate complex systems in real-time, and how security must evolve to protect AI-driven ecosystems from new vulnerabilities. Through real-world applications, we’ll navigate the hidden mechanics that make today’s intelligent systems both powerful—and fragile. Ultimately, we’ll explore a crucial question: Can AI-driven decisions be both precise and secure in an unpredictable world? The answer lies in how we design, trust, and fortify the intelligence that now governs so much of our reality.