Artificial intelligence is the talk of the town nowadays, with industries of all kinds wondering how they can harness the power of Generative AI. Although ChatGPT has received most of the attention, generative AI actually encompasses a variety of technologies and techniques, including Large Language Models (LLMs), Generative Adversarial Networks (GANs), Diffusion Models, and Autoencoders.
For security teams, each of these techniques has something to offer, so it’s important to understand their differences and potential uses. Join members of the Splunk Machine Learning for Security (SMLS) team, Abhinav Mishra and Kumar Sharad, for a comprehensive overview of these techniques, including:
- The particular strengths of different generative AI techniques
- Real-world security scenarios that these techniques can support
- Practical tips for implementing these techniques to enhance threat detection
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