Title: AI-Driven Cyber Resilience: Integrating Intelligent Threat Detection, DevSecOps, and Site Reliability Engineering for Mission-Critical Enterprise Systems

Abstract: As enterprises increasingly adopt cloud-native architectures, artificial intelligence, and distributed platforms, cybersecurity and system reliability can no longer be managed as separate operational disciplines. Modern mission-critical environments require an integrated approach capable of identifying threats, assessing operational risk, and responding to incidents without compromising availability or business continuity.

This presentation introduces an AI-driven cyber-resilience framework that integrates intelligent threat detection, DevSecOps practices, observability, and Site Reliability Engineering (SRE). The proposed approach applies AI-assisted analysis across security events, application telemetry, infrastructure signals, and operational data to improve anomaly detection and accelerate incident identification. It further incorporates automated security testing within CI/CD pipelines, policy-as-code, continuous risk assessment, and reliability practices such as service-level objectives, error budgets, automated rollback, and resilient deployment strategies.

The presentation will examine how enterprises can move from reactive security and incident management toward predictive and automated operational resilience. Particular attention will be given to highly regulated and mission-critical environments where security controls, system availability, auditability, and rapid software delivery must coexist.

Drawing on practical experience in enterprise cloud infrastructure, release engineering, production reliability, and automation, the presentation will also discuss implementation patterns for integrating security and reliability signals into unified operational workflows. The objective is to provide a practical framework that enables engineering organizations to detect emerging risks earlier, reduce response times, strengthen software supply-chain controls, and improve overall service resilience while maintaining the speed required by modern digital enterprises.