As businesses increasingly integrate AI language models into their operations, cybercriminals are evolving to monetize these tools. Flare has discovered that over 200,000 credentials to AI language models have surfaced on the dark web, heightening the risk of sensitive data leaks.
During the webinar, experts Jason Haddix (BuddoBot CISO), Serge-Olivier Paquette (Flare Director of Innovation), and Eric Clay (Flare VP of Marketing) shed light on:
- The use of open-source models, such as LLAMA and Vicuna, where public weights allow malicious actors to bypass safety mechanisms.
- Current capabilities of AI models, from problem-solving to zero-shot learning.
- The four-step training process of AI models, emphasizing the significance of Reinforced Learning with Human Feedback (RLHF).
- The rise of cybercrime-specific AI models like FraudGPT and WormGPT and their implications.
- Current and future risks, including inadvertent data leaks and the potential for AI “agents” to automate tasks like vulnerability searches and spear-phishing.
- Key mitigation strategies, from detecting AI-generated content to implementing data tokenization.
Stay informed and prepared by understanding the evolving AI threats in the cyber landscape.
