Safetica
Safetica Intelligent Data Security protects sensitive enterprise data wherever your team uses it.
Safetica is a global software company that provides Data Loss Prevention and Insider Risk Management solutions to organizations.
✔️ Know what to protect: Accurately pinpoint personally identifiable information, intellectual property, financial data, and more, wherever it is utilized across the enterprise, cloud, and endpoint devices.
✔️ Prevent threats: Identify and address risky activities through automatic detection of unusual file access, email interactions, and web activity. Receive the alerts necessary to proactively identify risks and prevent data breaches.
✔️ Secure your data: Block unauthorized exposure of sensitive personal data, trade secrets, and intellectual property.
✔️ Work smarter: Assist teams with real-time data handling cues as they access and share sensitive information.
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Curtain LogTrace File Activity Monitoring
In the daily work environment, companies often need to authorize their employees to access and use sensitive company data. However, most companies lack visibility into how their employees are actually utilizing this data, and whether any misuse is occurring. At the same time, companies have to meet internal audit requirements and comply with various data security regulations and policies. This creates a need for the IT department to find ways to effectively monitor and record how employees are accessing and using the company’s data resources.
Curtain LogTrace provides enterprise-wide file activity monitoring. It tracks user actions: create, copy, move, delete, rename, print, open, close, save. Includes source/destination paths and disk type. Perfect for monitoring user file activities.
Key Features:
- File log (create & delete file)
- File log (copy & move file)
- File log (print & rename file)
- App log (save, open & close file)
- Support MySQL & MS SQL
- Watermark for printout
- Central administration
- Integration with Active Directory
- Uninstall password for client
- Password management
- Admin delegation
- Self protection for the software
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CryptoSpike
CryptoSpike offers complete transparency while identifying irregular activities within your file system and actively mitigating threats as they occur. Should a ransomware incident take place, its detailed restoration feature allows for the swift recovery of compromised files. By scrutinizing all access to the storage system, CryptoSpike not only identifies ransomware attacks and abnormal activities but also halts them instantaneously, providing you with the opportunity to respond and recover the exact files you need. It can recognize data access patterns and file types commonly associated with ransomware, enabling precise recovery of corrupted data directly from stored snapshots. The system automatically blocks attacks while notifying the appropriate personnel right away. Additionally, monitoring policies can be adjusted in real-time at either the volume or share level. With comprehensive data visibility, access can be traced back to individual files or users, and for enhanced data security, user-specific information is accessible only through dual verification when necessary. Furthermore, this proactive approach ensures that your data remains protected against evolving threats.
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LinkShadow
LinkShadow Network Detection and Response NDR ingests traffic and uses machine-learning to detect malicious activities and to understand security threats and exposure. It can detect known attack behaviors and recognize what is normal for any organization. It flags unusual network activity that could indicate an attack. LinkShadow NDR can respond to malicious activity using third-party integration, such as firewall, Endpoint Detection and Response, Network Access Control, etc. NDR solutions analyze the network traffic in order to detect malicious activities inside the perimeter, otherwise known as the "east-west corridor", and support intelligent threat detection. NDR solutions passively capture communications over a network mirror port and use advanced techniques such as behavioral analytics and machine-learning to identify known and unidentified attack patterns.
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