PTaQ LII – zaproszenie

Serdecznie zapraszamy na 52. spotkanie PTaQ. Tym razem spotkamy się w siedzibie Collegium Da Vinci, gdzie będziemy mieć przyjemność posłuchać dwóch prelekcji. Spotkanie zorganizowane jest wspólnie przez firmę F-Secure i uczelnię Collegium Da Vinci. Tematyka ściśle związana z bezpieczeństwem. Zachęcamy gorąco! Poniżej szczegóły.

Kiedy? 22. maja 2018, godz: 18:00

Gdzie? Collegium Da Vinci, Kutrzeby 10, 61-719 Poznań (Sala A004)

Lista prelegentów i prelekcji:
Krzysztof Marciniak – Junior Security Consultant @ F-Secure, formerlySoftware Engineer with C, C++, Python, Java and some Elixir and Erlangknowledge (last two mostly for fun). Enjoys breaking stuff to see how things work under the hood. Graduate of Networking and Distributed Systems at the Poznań University of Technology.

Automating security for your profit (a.k.a. make everyone’s lifes easier)
There’s no doubt security is often given not that much attention. As security consultants we do encounter a lot of low-cost bugs and misconfigurations that could have been taken care of early on; this talk will be about fixing that, protecting your software at a relatively low cost at the same time making our (the security guys) lifes easier 😉


Leszek Tasiemski is responsible for Rapid Detection Center and R&D of security solutions capable of identifying attacks and vulnerabilities for corporate segment at F-Secure. He has many years of experience in performing penetration tests and forensic analyses, mainly for the European financial sector. Enthusiast and implementator of Machine Learning applications in detecting cyber attacks. Graduated from Computer Science, Economics and MBA. Currently studying Psychology. Active as a mentor on start-up scene and a certified yoga teacher.

Cyber Landscape 2018
Cyber is everywhere. It’s the topic of main page of BBC News and coffee break discussions in a factory. We live in the times of increasingly interconnected and increasingly complex systems that are literally impossible to protect 100% against cyber attacks. This is well understood by countries’ intelligence agencies and military that increasingly invest into cyber warfare. Using data mining and AI we can change reality perception by societies. AI will soon drive our cars and decide if we get a loan. So, what if we poison it? How can we test if AI decisions are still sane? Internet of Things becomes natural part of our households – our robot vacuum cleaners are basically network-enabled computers on wheels and hackers like it a lot. What can we do? It’s impossible to be 100% safe, but that shouldn’t put us at ease. We, R&D people, should increasinly put focus not only to build robust solutions using traditional best standards like OWASP, but also take one step further and equip our solutions with anomaly detection capabilities so that unexpected behavior of the user will be reported no matter if it’s a known threat or not. We also need a completely new paradigm in testing Artificial Intelligence systems and design them in a more roubust way to prevent poisoning. We are at the very beginning on the long road of building Secure AI.

 

 

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