(registration will be closed May 24th, 2023 - participation fee will be refunded after participation, available seats limited)
Meet with and be inspired by like-minded peers who face a similar set of challenges. Share strategies for mitigating the most current information security threats. A friendly, relaxed and professional atmosphere will ensure that you leave this event with a new wealth of trust-based contacts and tangible takeaways. The unique strength of this event is that members can feel free to share concerns, successes, and feedback in a one-to-one environment.
This is a ‘must attend’ event for all security professionals! We are confident that the relationships you develop here will prove to be crucial to your continuing success. So do not wait and register!
Looking forward to see you there, your SIGS team
As always: sales peoples (incl. CEO's and Founders), vendors, consulting companies like the big4 and all peoples who just like to sell their products or services are not allowed to take part at SIGS events.
Page Executive Bleicherweg 10 8002 Zürich
DATE & TIME
May 25th, 2023, 3.30 pm - open end incl. apéro
Welcome & short introduction from the background organization and the host sponsor
Rudolf Maculan, Security Consulting Manager at Accenture and Guest Speaker at ETH
Will ChatGPT Become the World’s No. 1 Hacker? The general availability of sophisticated large language models raise obvious concerns regarding cyber security implications, since malicious actors are known to be early adopters of such technologies. This talk will provide a high-level introduction to large language models and present a structured taxonomy of the associated risks. Then a deep-dive into the malicious uses of such tools is provided by leveraging OpenAI’s ChatGPT for demonstration purposes. Finally, the talk will also cover an overview of how defenders can make use of large language models for cyber defence.
Lars Ruddigkeit, Azure Cloud AI Evangelist at Microsoft Switzerland Lars Ruddigkeit is an Azure Cloud AI Evangelist and Account Technical Strategist for the Swiss Federal Government at Microsoft Switzerland with a Ph.D. in Chemistry. He is passionate about Responsible Artificial Intelligence, Data Science, Data Governance, Cloud Strategy, and Cloud Security. He is also a thought leader for Cloud, Data and Artificial Intelligence at Global AI Hub and a contributor to the Zero Trust working groups of the Cloud Security Alliance.
The good, the bad and the ugly of ChatGPT in the Cyber Security world ChatGPT has both positive and negative impacts on Cyber Security. On one hand, defenders can use ChatGPT to generate code to simulate adversaries or even automate tasks to make work easier. It can also be used for vulnerability assessment by automatically analyzing software code to find and report vulnerabilities. On the other hand, ChatGPT’s ability to write malicious code can be exploited by attackers. The cybersecurity implications of ChatGPT can be vast, especially for email exploits. In particular, Polymorphic malware is a type of malware that constantly changes its identifiable features in order to evade detection. It can take many forms such as viruses, worms, bots, trojans or keyloggers and spreads through phishing emails, malicious websites and dangerous links.
Bogumil Griner, Versatile Software Development Professional at xorlab
AI-Powered Email Attacks and Defenses ChatGPT and other text-generating AI technologies come with opportunities and risks. In this talk we will present how threat actors can use these technologies to their advantage by leveraging text-generating AI to craft unique and highly convincing social engineering attacks. We will further explore the potential of these technologies for offensive applications and we will present different strategies to protect your organization against AI-powered email attacks.
Sven Vetsch, Partner and Head of Security Research at Redguard AG
Beyond the Hype: Machine Learning's Practical Applications in Cyber Security
As cyber attacks become more sophisticated and frequent, the need for advanced security measures is more critical than ever. Machine learning has emerged as a promising technology that can provide an effective defense against cyber threats. However, there is often hype surrounding the capabilities of machine learning in cybersecurity, and it can be challenging to separate fact from fiction.
This presentation will delve beyond the hype and explore the practical applications of machine learning in cybersecurity. We will discuss how machine learning algorithms can be used to detect and prevent various types of cyber attacks, as well as supporting cyber related tasks like threat hunting in SOCs or even when just dealing with written security policy frameworks.
We will also examine the challenges involved in implementing machine learning in cybersecurity, such as the lack of quality training data, lack of explainability, and the possibility of adversarial attacks. Last but not least we will shine some light on the limitations of machine learning in cybersecurity and the importance of human expertise in the decision-making process.
By the end of this presentation, attendees will have a clear understanding of the various practical applications and challenges of machine learning in cybersecurity.
Apéro & networking and know how sharing till open end
Contributors & Speakers
Below you will find our contributors and speakers to whom we say a big thank you !
Versatile Software Development Professional at xorlab