Libraesva
Libraesva Reviews
& Product DetailsWhat is Libraesva?
Libraesva is email security software that uses machine learning and artificial intelligence to protect businesses’ Google Workspace, Microsoft 365, and other cloud-based email platforms from fraud, phishing attacks, threats, data leaks, spam, account takeovers, viruses, and other malware.
Organizations can access, create, and reply to emails during downtime using it. Administrators can examine email assaults or trends and learn more about URL sandboxing and historical filtering rates using a centralized dashboard. Additionally, the software filters both incoming and outgoing email traffic.
Libraesva examines documents, PDFs, URLs, and other attachments to enhance threat detection, revokes bad emails, and keeps track of transactions. It also provides mobile apps for iOS and Android smartphones.
Best For
- StartUps
- Freelancers
- Small Business
- Medium Business
- Large Enterprise
- Non-profit Organization
- Personal
- Cloud, SaaS, Web-Based
- Mobile - Android
- Mobile - iPhone
- Mobile - iPad
- Desktop - Mac
- Desktop - Windows
- Desktop - Linux
- Desktop - Chromebook
- On-Premise - Windows
- On-Premise - Linux
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Company Name
LIBRAESVA INC
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Located In
United States
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Website
libraesva.com
Starting from:
Custom
Pricing Model: Subscription
- Free Trial
- Free Version
Pricing Details:
Libraesva pricing is fully customizable based on every business need. You will need to fill out a form and wait for them to contact you with the personalized quote. The proposal is free, with absolutely no obligation to purchase the solution, and you will receive a quote tailored to your exact requirements.
- Whitelisting/Blacklisting
- Spam Blocker
- Reporting/Analytics
- Quarantine
- Policy Enforcement
- Anti-Phishing
- Fraud Detection
- Data Encryption
Additional Features
- Anomaly/ Malware Detection
- Email Attachment Protection
- Email Filtering
- SURLB/ URIBL Filtering
- Scheduled/ Automated Reports
- Email Management
- Threat Protection
- Threat Response
- Two-Factor Authentication
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