Kalyana Krishna Kondapalli

Adaptive AI-Driven Cybersecurity: From Threat Detection to Predictive and Autonomous Defense

Abstract:

Modern cyber threats evolve faster than static, signature-driven defenses can respond. This talk presents an adaptive AI-driven cybersecurity approach that combines real-time security telemetry, machine-learning-based threat classification, behavioral anomaly detection, external threat intelligence, predictive risk assessment, and automated defensive response.

The presentation explains how these capabilities can be organized into a continuous Observe–Detect–Analyze–Predict–Respond–Learn lifecycle for dynamic enterprise, cloud, and interconnected environments. Drawing on my published patent application, “Artificial Intelligence-Driven Cybersecurity System and Its Method Thereof,” and related research in adaptive threat intelligence and IoMT cybersecurity, the talk discusses architectural principles for moving cyber defense from reactive detection toward adaptive, continuously improving protection.

Profile:

Kalyana Krishna Kondapalli is an IEEE Senior Member and 2026 Chair of the Lance Stafford Larson Student Award, IEEE Computer Society. He is CEO of Mytecz and CTO of AiGlo, and an enterprise technology architect, AI and cybersecurity researcher, inventor, scholarly author, and engineering leader with more than 18 years of professional experience.

His expertise spans enterprise systems architecture, artificial intelligence, enterprise cybersecurity, cloud-native and distributed computing, intelligent automation, adaptive threat intelligence, and intelligent systems engineering. He is the inventor of the published patent application “Artificial Intelligence-Driven Cybersecurity System and Its Method Thereof,” and his research focuses on secure intelligent systems, AI-driven cybersecurity, adaptive threat intelligence, anomaly detection, predictive intelligence, and automated cyber-defense mechanisms.