As Dream's security operations encountered increasingly sophisticated malware linked to multistage attack campaigns, deep technical analysis became critical for response and eradication. Although detection flagged suspicious activity, producing remediation guidance often required multiday reverse-engineering efforts by specialists across multiple programming languages. This caused delays and limited how many complex incidents could be handled simultaneously. Scaling high-quality malware response without expanding specialist headcount became a priority. Solution: An internal AI-assisted malware analysis capability was developed and integrated into detection and response workflows. Designed and refined by Dream's cybersecurity AI researchers embedded in operational investigations, the system analyses malicious code to examine how it runs, remains active on a system, escalates access, moves across systems and communicates with attackers. It extracts TTPs and generates structured, explainable outputs supporting containment, environment-wide hunting for related variants and remediation and eradication guidance. Outputs are transparent, evidence-backed and reviewed by human analysts before action is taken.