Digital forensics has become an indispensable component of modern cybersecurity operations, enabling investigators to extract, analyze, and preserve digital evidence during security incidents. The sophisticated landscape of cyber threats demands equally advanced forensic methodologies that can rapidly identify attack vectors, preserve evidence integrity, and support comprehensive incident response efforts. Memory forensics represents one of the most critical aspects of incident response, as volatile memory often contains evidence that exists nowhere else on the system. The Volatility Framework stands as the most widely adopted tool for memory analysis, offering extensive capabilities for extracting digital artifacts from memory samples. Unlike traditional disk-based forensics, memory analysis provides investigators with real-time snapshots of system activity, including running processes, network connections, and loaded kernel modules.

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