Safetica is an integrated Data Loss Prevention (DLP) and Insider Risk Management (IRM) solution, which helps companies to identify, classify, and protect sensitive data as well as detect, analyze, and mitigate risks posed by insiders within an organization.
Safetica covers the following data security solutions:
✅ Data Classification: Safetica offers complete data visibility across endpoints, networks, and cloud environments. It classifies sensitive data using its Safetica Unified Classification, which combines analysis of file content, file origin and file properties.
✅ Data Loss Prevention: With Safetica, you can protect sensitive business- or customer-related data, source codes, or blueprints from accidental or intentional exposure through instant notifications and policy enforcement.
✅ Insider Risk Management With Safetica, you can analyze insider risks, detect threats, and mitigate them swiftly. Notifications about how to treat sensitive data can help raise awareness around data security and educate your users.
Workspace and behavior analysis provides an extra level of detail to detect internal risks. It also helps understand how employees work, print, and use hardware and software assets, thus enabling organizations to optimize costs and increase operational efficiency.
✅ Cloud Data Protection: Safetica can monitor and classify files directly during user operations, such as exports, uploads and downloads, opening files, copying files to a different path, uploading files via web browsers, sending files via email or IM apps, and others.
✅ Regulatory compliance: Safetica helps organizations detect violations and comply with key regulations and data protection standards including GDPR, HIPAA, SOX, PCI-DSS, GLBA, ISO/IEC 27001, SOC2 or CCPA.
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Safetica's answer:
Safetica is the easiest to implement and integrate DLP and is very easy to use.
Safetica's answer:
The implementation is fast and easy, and you don't need an extra employee to take care of the solution. It offers 300+ built-in templates in data classification and protection and automated reports.
Safetica's answer:
Large enterprises and SMBs that want an effortless data protection solution. Safetica ensures your organization complies with all regulations, such as GDPR, HIPAA, PCI DSS, Law25, and more.
Safetica's answer:
When Jakub Mahdal lost a USB flash drive with business data on it, he realized how vulnerable company documents can be. So he started creating a solution to keep sensitive data secure. In 2007, Safetica was born.
Safetica's answer:
Hyundai, New Line Cinema, CreditOne Bank, Concept Medical, NAFFCO, TAS United
Safetica's answer:
Microsoft Azure, .NET 6, Angular, C++, C#, Typescript, MS SQL
Based on our record, ObjectiveFS seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
For workloads with many small files, it usually is better to store many files in a single object. Filesystems with regular POSIX semantics, such as atomic directory renames etc, also makes it easier to integrate with existing software. We have seen a lot of scientific computing usage of our filesystem (https://objectivefs.com) and as you mentioned localized caching of the working set is key to great performance. - Source: Hacker News / 8 months ago
Since this seems to be the crowd that would appreciate it - https://objectivefs.com/ is another good "shared files" option, it uses s3 in the background but has a client in the foreground that caches and checks for when/how to update s3 to minimize transfers and boost performance. Source: 10 months ago
Object storage is a higher-level abstraction than block-storage. FUSE and similar tech can do the job for basic requirements like read-only access by legacy applications but rarely works well for other scenarios. Object storage can be used decently well if there's more complex layer in between like https://objectivefs.com/. - Source: Hacker News / about 1 year ago
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