Maestro Forensics operates expert certification course using Maestro Wisdom forensic platform
Published2026.08.26 14:02
From September 9th to 11th, the Mac forensics course (MWME) will be held, and from October 26th to 30th, the Windows forensics course (MWWE) will be conducted at Insecurity Education Center respectively.
Target participants include △government and military investigative agencies △law enforcement agencies △law firms △digital forensics specialist company practitioners.
MAESTRO WiSDOM is an integrated digital forensics and DFIR (Digital Forensics & Incident Response) platform supporting Windows, macOS, Linux, mobile (Android, iOS), cloud, and generative AI service environments.
It is reported that by linking with the threat intelligence platform MAESTRO CTIP, malware origin analysis and attacker behavior pattern comparison are also possible.
It is composed of △live acquisition and imaging standard procedures △core artifact analysis such as Spotlight index, knowledgeC.db, and Biome △practice in deleted data recovery and remote access trace identification.
It covers △integrated analysis of file systems, registries, emails, and event logs △procedures for identifying causes of information leakage, hacking, and insider threats △timeline-based evidence data visualization techniques.
Course registration is available through the Insecurity Education Center website (maestroforensics.com), and inquiries can be made by phone (02-851-5687) or email (insec@insec.co.kr).
관련뉴스
Maestro Wisdom, an AI-based digital forensics innovation platform, has been launched, identifying evidence three times faster than before.
Domestic security specialist company Maestro Forensics (CEO Kim Jong-gwang) has launched 'MAESTRO WiSDOM,' which is equipped with a 'Forensics Accelerator' that provides dramatically improved analysis speed and evidence data filtering and extraction capabilities compared to existing products. The new solution provides full-scale support for root cause analysis of increasingly sophisticated digital breach incidents driven by recent AI technologies and evidence identification that is three times faster than conventional methods.
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