AI has entered the main stream in cyber security in late 2022 with the advent of generative AI and ChatGPT. Many vendors have rushed to market to incorporate generative AI into their offerings. It is more difficult than ever for security professionals to differentiate various types of AI, why they are used, what use cases they support and if they are worth the investment.
This talk looks at broad categories of AI offerings in cyber security - generative AI, supervised machine learning, unsupervised machine learning. It provides an overview over what type of data the different AIs are trained on, what benefits they provide and where limitations and risks are. The talk will help decision makers that are looking at AI offerings and try to understand what might provide benefits to their organization. They might face questions such as:
What data is the AI trained on? How long is the learning period? Why is AI necessary for this offering - what are the advantages over traditional approaches? Is our data shared with other customers? Is the AI explainable? Will we face data privacy concerns (e.g. from Workers' Councils)?
This talk will provide you with insights into different kinds of AI used currently in cyber security, helping you to confidently answer questions such as the above. We will focus on practical examples throughout the talk.
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