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, important data is still leaked or important systems are compromised. Firewalls, IDS, IPS or SIEM systems are often unable to prevent or detect attacks. Questions are often raised: “why?” and “how?” is it possible these attacks stay undetected for long periods of time, considering the significant investments into cyber security. And so it seems obvious to say that with the introduction of IoT devices, unmanaged BYOD, combined with legacy systems and end to end encryption, the future will be
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 solve complex security problems. The talk is aimed at anyone who’s been curious or had questions about the rise of things like “machine learning” or “big data” in the context of security. No prior data science knowledge is required. We asked Thordis a few more questions about her talk which will be held at DeepSec 2019. Please tell us the top 5 facts about your talk. It will give an insight into the exciting (and sometimes terrifying) world
A while ago the Cambridge Analytica issue rocked the news and the online discussions about how personal data and profiles should be used. Frankly the surprise of data being abused comes as a surprise. The terms and conditions of most online portals, services, and platforms contains lots of rights – which you give to the owner of the platform. Once something is concentrated, cached, and accessible to digital evaluation, it will be harvested for its content and context. It’s as simple as that. This has always been the case. Penetration testers (best case) select their targets based on this criterion (among others). What has all of this to do with information security? Well, information security, just as the social media platforms, just can’t do without analysing data. The difference is how to protect and
You have probably heard of Google. Well, you will be hearing more from them if you come to DeepSec 2017. They have agreed to support our conference. They will be on site, and you will be able to talk to them. Every year we aim to give you opportunities for a short-cut, for exchanging ideas, and for thinking of ways to improve information security. A big part of this process is fulfilled by vendors and companies offering service in the information security industry. This includes the many good people at CERTs and the countless brave individuals in the respective security team. So we hope you take advantage of Google’s presence at DeepSec. See you in Vienna!
DeepSec 2016 Talk: Why Companies Must Control Their Data in the Era of IoT – and How To – Kurt Kammerer
In his talk Kurt Kammerer addresses any company’s dilemma: The need for data sharing in the era of IoT while at the same time controlling access and ownership. In order to succeed in business, it is imperative to make data available to customers, suppliers and business partners. However, the explosion and the proclaimed free flow of data can turn against an organisation and threaten its very existence, if not professionally controlled. We asked Mr. Kammerer a few questions beforehand. Please tell us the top 5 facts about your talk. The relevance of “data” increases by the day and “data” is imperative to compete. Therefore, it is an asset companies must control. Data ownership is increasingly being challenged in the era of cloud/IoT (who created the data and who actually owns it?) Not exercising enough control
DeepSec2016 Talk: Cover Your SaaS: Protecting Your Cloud With Analytics and Machine Learning – Ian Thornton-Trump
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 improvement on. Despite the fact that being lucky is never a bad thing, the selection of your defences and the assessment of the threats you are facing need to be based on something more solid. IT departments have been mining logs and other kind of raw materials that produce metrics for decades. Every once in a while there is a new trend. Now that we can store enormous amounts of data and can access it, we have a lot