Tag Archive

DeepSec 2019 Talk: Security Analytics and Zero Trust – How Do We Tackle That? – Holger Arends

Published on November 8, 2019 By sanna

For many years we’ve all been in an arms race, fighting daily against new malware varieties and new attack techniques that malicious actors use to fool us and compromise our systems. Many of us rely on state of the art safeguards and have invested tremendous amounts in defending our systems and networks, yet even so, […]

DeepSec 2019 Talk: What Has Data Science Got To Do With It? – Thordis Thorsteins

Published on September 26, 2019 By sanna

In this talk I want to shed some light on data science’s place within security. You can expect to learn how to see through common data science jargon that’s used in the industry, as well as to get a high level understanding of what’s happening behind the scenes when data science is successfully applied to […]

DeepSec 2017 Talk: Malware Analysis: A Machine Learning Approach – Chiheb Chebbi

Published on August 26, 2017 By sanna

Software has a character. It can be beneficial. It can also be malicious. A networked business world and the Internet of connected individuals make life for malicious software, also known as malware, easier. Just like international travel facilitates the spread of diseases and parasites, the networked globe is a big advantage for malware. Researcher can […]

DeepSec2016 Talk: Cover Your SaaS: Protecting Your Cloud With Analytics and Machine Learning – Ian Thornton-Trump

Published on September 24, 2016 By sanna

Some people call military intelligence an oxymoron. This usually happens when something goes wrong. It might be due to sloppy reconnaissance, operations, or simply bad luck. While it’s always good to have someone or something to blame, things are not so easy in modern „cyberspace“. Improving your security means to have something to base this […]