USE CASE
Mimecast Zero Day Malware Detection identifies unknown and advanced threats before they reach users, stopping attacks at every stage.
THE PROBLEM
Traditional antivirus tools rely on known signatures, leaving organizations exposed to ransomware, polymorphic malware, and weaponized documents that evade static detection.
A single malicious attachment can deliver ransomware, steal credentials, or establish persistence across endpoints and cloud environments.
Conventional AV engines depend on known signatures and struggle to detect newly developed or polymorphic malware variants.
Advanced malware uses anti-evasion techniques to detect virtual sandboxing environments and hide malicious behavior during inspection.
OUR SOLUTION
Mimecast combines advanced antivirus scanning, AI-powered code inspection, and behavioral sandboxing to detect and block unknown malware before it impacts your business. By layering static, behavioral, and intelligence-driven detection, security teams gain full visibility and rapid response against emerging threats.
OUR SOLUTION
Mimecast gives security teams unified visibility across inbound, outbound, and internal traffic to expose account takeovers earlier.
Executes suspicious files in isolated environments to observe real behavior, detect evasion techniques, and identify hidden malicious activity.
Uses machine learning, global threat intelligence, and behavioral analysis at scale to detect emerging zero day malware variants in real time.
Mimecast combines multi-engine antivirus scanning, AI-powered code analysis, and behavioral sandboxing to identify malicious intent without relying on signatures. Machine learning models analyze structural code patterns, embedded macros, hidden objects, and anomalous metadata. Suspicious files are executed in isolated environments where real behavior is observed, allowing detection of unknown variants before they reach users.
For known threats, Mimecast applies multiple layers of AV scanning to catch everything that's been seen before. For zero-day threats, Mimecast goes further with AI-powered code analysis and behavioral sandboxing with anti-evasion techniques to determine if something is malicious without needing a prior match. By correlating findings across both layers with global threat intelligence in real time, Mimecast catches threats that traditional antivirus and basic sandboxing tools miss.
A lot of organizations today rely on services that either have a standalone AV scanning engine, or a virtualized sandboxing environment. Mimecast improves on this by utilizing multiple AV engines, code analysis, and best-in-class sandboxing that can't be fooled by polymorphic threats.
AI enhances detection by analyzing patterns across billions of email interactions and identifying subtle indicators of compromise that static tools miss. Machine learning models continuously refine their accuracy using global telemetry, enabling detection of new malware families and polymorphic variants. AI-driven anti-evasion techniques also identify threats designed to detect sandbox environments and conceal their behavior.
Yes. Advanced malware often uses obfuscation, encryption, delayed execution, or sandbox detection techniques to avoid discovery. Mimecast counters these tactics through multi-environment testing, AI-powered anti-evasion analysis, and dynamic execution monitoring. By analyzing both behavior and intent, Mimecast identifies threats even when file signatures constantly change.
Zero Day Malware Detection operates as part of Mimecast’s unified threat protection platform. Intelligence gathered from attachment scanning, URL inspection, and behavioral analysis is correlated across email, collaboration tools, and cloud environments. This integrated visibility allows security teams to investigate incidents faster, contain threats earlier, and strengthen overall defense against advanced attacks.
