Software Alternatives, Accelerators & Startups

Safetica VS Python

Compare Safetica VS Python and see what are their differences

Safetica logo Safetica

We believe data protection should make running your business easier, not harder. Safetica protects companies against insider threats, offers data loss protection, and supports regulatory compliance.

Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
  • Safetica Safetica Dashboard
    Safetica Dashboard //
    2024-04-11
  • Safetica Safetica Console Apps Dashboard
    Safetica Console Apps Dashboard //
    2024-04-11
  • Safetica Safetica Console Websites Dashboard
    Safetica Console Websites Dashboard //
    2024-04-11
  • Safetica How Safetica Works
    How Safetica Works //
    2024-04-11
  • Safetica Safetica Notification Sample
    Safetica Notification Sample //
    2024-04-11

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.

  • Python Landing page
    Landing page //
    2021-10-17

Safetica

$ Details
paid Free Trial
Platforms
Mac OSX Windows Cloud
Release Date
2007 January

Safetica features and specs

  • Security audit: Yes
  • Office 365 file and email audit: Yes
  • Regulatory compliance audit: Yes
  • Workspace security audit: Yes
  • Content inspection classification: Yes
  • Detection of suspicious activities: Yes
  • Email and network protection: Yes
  • Devices and print protection: Yes
  • Remote work protection: Yes
  • Advanced data classification: Yes
  • Different remediation policies: Yes
  • Incident Shadow Copy: Yes
  • Workspace control: Yes
  • Safetica Zones: Yes
  • BitLocker encryption management: Yes
  • Endpoint cloud sync protection: Yes
  • Endpoint Office 365 protection: Yes
  • Azure information protection: Yes
  • Exchange Online protection: Yes
  • Multi-domain support: Yes
  • Workflow control: Yes
  • SIEM integration: Yes
  • FortiGate integration: Yes
  • Reporting API: Yes

Python features and specs

No features have been listed yet.

Safetica videos

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Python videos

Creator of Python Programming Language, Guido van Rossum | Oxford Union

Category Popularity

0-100% (relative to Safetica and Python)
Monitoring Tools
100 100%
0% 0
Programming Language
0 0%
100% 100
Cyber Security
100 100%
0% 0
OOP
0 0%
100% 100

Questions and Answers

As answered by people managing Safetica and Python.

What makes your product unique?

Safetica's answer

Safetica is the easiest to implement and integrate DLP and is very easy to use.

Why should a person choose your product over its competitors?

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.

How would you describe your primary audience?

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.

What's the story behind your product?

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.

Who are some of the biggest customers of your product?

Safetica's answer

Hyundai, New Line Cinema, CreditOne Bank, Concept Medical, NAFFCO, TAS United

Which are the primary technologies used for building your product?

Safetica's answer

Microsoft Azure, .NET 6, Angular, C++, C#, Typescript, MS SQL

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Safetica and Python

Safetica Reviews

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Python Reviews

Top 5 Most Liked and Hated Programming Languages of 2022
No wonder Python is one of the easiest programming languages to work upon. This general-purpose programming language finds immense usage in the field of web development, machine learning applications, as well as cutting-edge technology in the software industry. The fact that Python is used by major tech giants such as Amazon, Facebook, Google, etc. is good enough proof as to...
Top 10 Rust Alternatives
This programming langue is typed statically and operates on a complied system. It works based on several computing languages Python, Ada, and Modula.
15 data science tools to consider using in 2021
Python is the most widely used programming language for data science and machine learning and one of the most popular languages overall. The Python open source project's website describes it as "an interpreted, object-oriented, high-level programming language with dynamic semantics," as well as built-in data structures and dynamic typing and binding capabilities. The site...
The 10 Best Programming Languages to Learn Today
Python's variety of applications make it a powerful and versatile language for different use cases. Python-based web development frameworks like Django and Flask are gaining popularity fast. It's also equipped with quality machine learning and data analysis tools like Scikit-learn and Pandas.
Source: ict.gov.ge
Autohotkey Alternatives and Similar Free Software
Python is very much compatible with PHP Java, and SQL. This feature makes the software a hit among novices and experts too. This software is used in several industries, and the most useful thing about Python is, it consists of web development and programming of network. This system is easier to learn because of its language. The novices like this because it uses more...

Social recommendations and mentions

Based on our record, Python seems to be more popular. It has been mentiond 281 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.

Safetica mentions (0)

We have not tracked any mentions of Safetica yet. Tracking of Safetica recommendations started around Sep 2022.

Python mentions (281)

  • Marking macOS component packages available based on hardware platform type
    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 / 14 days ago
  • Python String Formatting: A Comprehensive Guide to F-strings
    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 / 3 months ago
  • Don’t Block entire Python Thread: Use Asynchronous Programming Instead
    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 / 4 months ago
  • A Comprehensive Guide to Python Threading: Advanced Concepts and Best Practices
    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 / 5 months ago
  • Building Fast APIs with FastAPI: A Comprehensive Guide
    FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework. - Source: dev.to / 5 months ago
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What are some alternatives?

When comparing Safetica and Python, you can also consider the following products

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.

Rust - A safe, concurrent, practical language

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.

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions

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).

Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible