Blog

Don’t Fall Prey To The Next Ransomware Outbreak

Published on February 13, 2018

Over the last couple of years, we have seen the emergence and rapid rise of ransomware as an extremely potent cyber attack. We have observed, and written about attacks like Bad Rabbit, NotPetya, and WannaCry. As businesses increasingly rely on digital systems, networks, and data for operations, the value of...

Seven Things You Need To Know About GDPR

Published on January 31, 2018

The General Data Protection Regulation (GDPR) is around the corner. Here is what you need to know before the compliance deadline. 1. GDPR is a result of the European Commission's effort to revamp how businesses protect data in order to make Europe ready for the digital age. The exercise took...

Securonix Threat Research: Spectre and Meltdown Vulnerabilities

Published on January 11, 2018

By Oleg Kolesnikov, Securonix Threat Research Team Introduction Securonix Threat Research Team (STR) has been actively investigating the details of the Spectre and Meltdown Side-Channel Information Disclosure Vulnerabilities since last week to help our customers mitigate/respond to the vulnerabilities. Below is a summary of what we currently know about the...

Ch 4 – Supervised Learning: Capturing The Thought Process Of An Analyst

Published on December 11, 2017

Authors: Securonix Labs Introduction Supervised learning methods are used for summarizing information contained within data to make predictions. In order to do so, they require a set of outputs (labels) and inputs. The objective is to understand the relationship between them and predict the output on a new unseen input....

Ch 3 – Unsupervised Learning: Combining Security and Data Science

Published on November 28, 2017

Authors: Securonix Labs Introduction Machine learning is a subfield of artificial intelligence within computer science which is concerned with the design and analysis of algorithms that allow a computer system to learn from data without being explicitly programmed. In other words, the objective of machine learning is to develop learning...

Cyber Incident Response: What Is It, And Why Do You Need It?

Published on November 9, 2017

  With the data breaches that we have seen through the course of 2017 so far, one would imagine that incident response teams threw up their hands in defeat. The Equifax breach, with a compromise of over 140 million records of extremely sensitive private information on virtually every American that...

Ch 2 – Data Science: Statistics vs. Machine Learning

Published on November 7, 2017

Authors: Securonix Labs Introduction Data science is a field that cuts across several technical disciplines including computer science, statistics, and applied mathematics. The goal of data science is to use scientific methods to extract valuable information from data. Advances in large-scale data storage and distributed computing have enabled us to...

What You Need To Know About Bad Rabbit Ransomware

Published on October 31, 2017

Ransomware On The Rise With Bad Rabbit For about a week now, a new ransomware campaign has been sweeping across computers. This is the third major ransomware campaign after WannaCry and NotPetya this year. Securonix Threat Research Labs has been tracking this campaign since its inception (technical details here), and...