AI for Cyber Security: Automating Threat Detection in AWS

Modern cyberattacks are faster, stealthier, and more sophisticated than ever.IBM reports that organizations take an average of 277 days to identify and contain a breach — and 327 days when stolen credentials are involved. Meanwhile, CrowdStrike’s 2024 Threat Report shows that attackers achieve lateral movement in as little as 79 minutes.This gap between attacker speed and detection speed is where damage occurs.This course teaches you how to close that gap dramatically — reducing threat detection time from months to seconds using fully automated, serverless, event-driven architecture on AWS.In this hands-on workshop, you will build an AI-powered detection pipeline that integrates:Amazon GuardDuty to detect suspicious activityAmazon EventBridge to route findings instantlyAWS Lambda to trigger automated workflowsAWS Step Functions to orchestrate multi-step analysisAmazon Bedrock (Titan Text Express) to summarise findings using AIAmazon SNS to send real-time, human-readable alertsYou’ll learn how to deploy the entire system with AWS CLI, test real GuardDuty findings, observe the workflow in Step Functions, analyse model output, and receive actionable insights via email.By the end of the course, you will have a production-ready, AI-enabled cloud security pipeline capable of turning raw threat telemetry into clear, actionable intelligence — automatically and instantly.Whether you’re a developer, security analyst, architect, or IT leader, this course will help you modernise your detection strategy and accelerate your security operations.