AI-based security incident response focuses on identifying, investigating, correlating, and reconstructing cybersecurity incidents using security logs and artificial intelligence techniques. It involves analyzing authentication events, detecting suspicious login patterns, examining application-level attack records, and correlating related log entries to understand the nature and sequence of malicious activities. By combining machine learning-based attack detection with text similarity techniques and large language model-assisted investigation, this approach helps identify potential security incidents, connect related events, summarize investigation findings, and support incident reconstruction. The resulting insights enable security teams to assess incident impact, prioritize response actions, improve investigation efficiency, and implement appropriate containment and remediation measures to reduce the risk of recurring attacks.