Greguti Thu, 22 Jul 2021 23:48:08 +0000 en-US hourly 1 Greguti 32 32 Network detection and response Purchase: Sophos acquires Braintrace Thu, 22 Jul 2021 22:49:12 +0000

Sophos, backed by a private equity firm Thomas bravo, acquired Brain trace, an MSSP specializing in Network Discovery and Response (NDR) security technology. Financial terms of the deal were not disclosed.

This is the M&A deal 438 that MSSP Alert and ChannelE2E have covered so far in 2020. See the full list of M&A transactions here.

To be clear, Sophos is not looking to become an MSSP that rivals peer MSSPs and security-conscious MSPs. Instead, the company remains largely a software and service provider that supports MSSPs and MSPs. This effort includes a multi-tenant dashboard that allows partners to support multiple customers from a single pane of glass.

How Braintrace fits into Sophos

As part of the agreement, Braintrace developers, data scientists and security analysts have joined Sophos’ global Managed Threat Response (MTR) and Rapid Response teams. Additionally, Braintrace’s technology will help Sophos collect and transmit third-party event data from firewalls, proxies, virtual private networks (VPNs) and other sources to improve detection, hunting and response to threats.

In addition, Sophos will deploy Braintrace’s technology as a virtual machine (VM) to inspect north-south traffic at borders and east-west traffic within networks, the buyer said. This will help Sophos discover network threats and improve the decryption capabilities of Sophos Firewall next generation firewall.

Sophos intends to introduce Braintrace’s NDR technology for MTR and extended detection and response (XDR) in the first half of 2022.

A closer look at Braintrace

Braintrace offers intelligence-driven detection and response (MDR) that leverages artificial intelligence and machine learning to help organizations identify cyber threats, the company said. It also provides a variety of managed cybersecurity services, including:

  • Violation detection
  • Dark web analysis
  • Data Loss Prevention (DLP)
  • Managed firewall and endpoint
  • Security information and event management as a service (SIEMaaS)

In addition, Braintrace provides IT audits and readiness assessments, regulatory or compliance control assessments and certifications, and the Dragonfly intelligent network traffic analysis service.

Sophos acquires Capsule8 and launches Canadian data center

The acquisition of Braintrace comes after Sophos purchased Capsule8 in July 2021, which provides runtime visibility, detection and response software for Linux servers and containers. Capsule8 extends Sophos detection and response solutions and services to underprotected server and cloud environments, the company said.

In addition, Sophos opened a data center in Montreal, Canada in July 2021. This data center supports the Sophos Central cloud management platform, according to the company.

Sophos provides cybersecurity solutions to more than 500,000 organizations around the world. It also offers a partnership program that allows MSSPs and MSPs to integrate its cybersecurity products, solutions and services into their portfolios.

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6 Essential Python Tools for Data Science – Improved Wed, 21 Jul 2021 10:24:13 +0000

If you want to master data analysis, or just want to use Python, this is the place to do it. Python is easy to learn, has extensive and in-depth support, and with almost any machine learning framework data science library there is a Python interface out there.

Over the past few months, several data science projects in Python have released new versions, including updates to key features. Some concern the calculation of real numbers. Others make it easier for Pythonistas to write fast code optimized for these tasks.

Python Data Science Basics: SciPy 1.7

Python users who need a fast and powerful math library can use NumPy, but NumPy itself is less task-oriented. SciPy It uses NumPy to provide a library for common mathematical and scientific programming tasks, from linear algebra to statistical work to signal processing.

How SciPy helps data science

SciPy has long been instrumental in providing practical and widely used tools for working with math and statistics. However, for a long time there was strong backward compatibility between versions, but there was no suitable version 1.0.

According to lead developer Ralf Gommers, the main reason for creating SciPy version 1.0 projects was the integration of project management methods. However, it also included the continuous integration process of the MacOS and Windows versions, and proper support for pre-built Windows binaries. This latest feature means Windows users can use SciPy without jumping over extra hoops.

Since the 2017 version of SciPy 1.0, the project has delivered seven key releases, with many improvements in the process.