Content Analysis
The Content Analysis menu allows you to customize the email security engines and antispam engines behavior. Some features require a special license and cannot be active in all cases. See the Overview for the full menu structure.
AI / Machine Learning
LibraCyber ESG ships three on-board AI engines to increase spam detection and minimize false positives: AI Classifier, Bayesian Engine and CRM114 Spam Classifier. Domain-based analysis can be enabled or disabled per classification type. See the Overview for the full list.
3 articoliSandbox Filters
LibraCyber ESG uses Sandbox technology to analyse potentially dangerous resources such as URIs and files in a safe environment. Two modules use this approach, URLSand and QuickSand, each documented in its own article below.
3 articoliAntivirus Engines
LibraCyber ESG supports three third party antivirus engines: ClamAV (enabled by default), Avira and BitDefender (both requiring an additional license). Each engine has its strengths and weaknesses, so we recommend enabling at least two; each enabled engine requires at least 1GB of additional RAM.
4 articoli- AI / Machine Learning LibraCyber ESG ships three on-board AI engines to increase spam detection and minimize false positives: AI Classifier, Bayesian Engine and CRM114 Spam Classifier. Domain-based analysis can be enabled or disabled per classification type. See the Overview for the full list.
- Sandbox Filters LibraCyber ESG uses Sandbox technology to analyse potentially dangerous resources such as URIs and files in a safe environment. Two modules use this approach, URLSand and QuickSand, each documented in its own article below.
- Antivirus Engines LibraCyber ESG supports three third party antivirus engines: ClamAV (enabled by default), Avira and BitDefender (both requiring an additional license). Each engine has its strengths and weaknesses, so we recommend enabling at least two; each enabled engine requires at least 1GB of additional RAM.