Automating the complex world of malware analysis — so you can focus on what matters.
MAIAT automates file ingestion, sandboxing, and behavioral analysis, reducing manual effort by up to 40%.
Extracts Indicators of Compromise (IoCs), maps threats to MITRE ATT&CK, and generates structured reports for your SIEM — improving detection accuracy by 25%.
Delivers enterprise-grade malware analysis at an accessible cost, making advanced cyber defense available to everyone.
Reduces Mean Time to Detect and Respond (MTTD/MTTR) by providing immediate, explainable findings for faster containment.
MAIAT turns the endless stream of threats into a structured flow of intelligence, empowering your team to respond faster and smarter.
Samples can be uploaded directly or retrieved from a designated feed. The system automatically classifies and prioritizes samples for further analysis.
Static analysis involves disassembly, string extraction, and entropy analysis. Dynamic analysis detonates samples in a secure sandbox, logging all activities.
ML and NLP engines analyze sandbox logs to interpret malicious intent, extracting key IoCs and a detailed behavioral timeline.
Actions are mapped to the MITRE ATT&CK framework, and structured reports are auto-generated in formats like STIX, JSON, or Markdown for SIEM/CTI platforms.
*Simulated environment. Real-time threat detection powered by deep learning.