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Safetica
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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, Python seems to be more popular. It has been mentiond 282 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.
Import aiohttp Import asyncio Async def fetch(session, url): async with session.get(url) as response: return await response.text() Async def main(): async with aiohttp.ClientSession() as session: html = await fetch(session, 'https://python.org') print(html) Asyncio.run(main()). - Source: dev.to / 10 days ago
Flat packages are the most common used packages, but distribution packages are more robust and can contain multiple flat packages. That's enough detail for this article but if you want to know more Armin Briegel of ScriptingOSX has a great book covering a lot of the details of these package types. I highly recommend picking up a copy for reference. One of the benefits of Distribution packages is that you can... - Source: dev.to / about 1 month ago
F-strings, introduced in Python 3.6 and later versions, provide a concise and readable way to embed expressions inside string literals. They are created by prefixing a string with the letter ‘f’ or ‘F’. Unlike traditional formatting methods like %-formatting or str.format(), F-strings offer a more straightforward and Pythonic syntax. - Source: dev.to / 4 months ago
Import aiohttp, asyncio Async def fetch_data(i, url): print('Starting', i, url) async with aiohttp.ClientSession() as session: async with session.get(url): print('Finished', i, url) Async def main(): urls = ["https://dev.to", "https://medium.com", "https://python.org"] async_tasks = [fetch_data(i+1, url) for i, url in enumerate(urls)] await... - Source: dev.to / 5 months ago
Threading involves the execution of multiple threads (smaller units of a process) concurrently, enabling better resource utilization and improved responsiveness. Python‘s threading module facilitates the creation, synchronization, and communication between threads, offering a robust foundation for building concurrent applications. - Source: dev.to / 6 months ago
Rust - A safe, concurrent, practical language
NinjaOne - NinjaOne (Formerly NinjaRMM) provides remote monitoring and management software that combines powerful functionality with a fast, modern UI. Easily remediate IT issues, automate common tasks, and support end-users with powerful IT management tools.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Netumo - Ensure healthy website performance, uptime, and free from vulnerabilities. Automatic checks for SSL Certificates, domains and monitor issues with your websites all from one console and get instant notifications on any issues.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Symantec Data Loss Prevention - Fully protect your data with the comprehensive detection technologies and unified policies of Symantec's industry leading Data Loss Prevention (DLP).
