Thanks to ChatGPT, the topic of artificial intelligence (AI) has gained a lot of public attention. However, much of the discussion, including in the security community, has focused on generative AI systems such as ChatGPT, how they can be used, and what risks they pose.
It is often forgotten that AI has long since found its way into security solutions. Machine learning and other AI methods are used, for example, to recognise phishing attacks more reliably, identify suspicious actions more quickly, predict risks more accurately and support decision-making. However, the other side has also been using AI for a long time to make attacks more effective or to better hide them from detection.
This white paper provides an overview of what AI methods are available and how they can be used for IT security and cyberattacks. It shows you what user companies can do to better protect themselves against AI-based attacks. You will learn how to evaluate the AI promises of security vendors and which AI-based tools are most important for cybersecurity.
The topics and issues covered in this white paper:
- Machine Learning and Deep Learning: AI Methods at a Glance
- AI in Cybersecurity: Detecting and Classifying Suspicious Behavior
- How artificial intelligence is being misused by cybercriminals
- Six steps to an effective and future-proof defense
- Why AI, ML, DL & Co. are also the Future of Cybersecurity