The Rapidly Evolving Landscape of Generative AI Tools & AI-Powered Cyber Threats

This study explores adversarial attacks on AI systems, sometimes referred to as jailbreaks, which have the ability to manipulate AI in order to diverge from moral standards and produce damaging content. Misuse of AI, which reduces the entry barrier into the cyber threat scene and increases the power of threat actors, is one of the research's key findings. Furthermore, it also discusses how AI is being used more and more in disinformation and cyberattack tactics. According to the study, there will be a rise in AI-driven cyberthreats, which emphasises the need for strong defensive tools and all-encompassing legislative measures to reduce the dangers.

The research is broken down into 5 sections that can be read independently:  

1. Introduction to Large Language Models, Aligned LLMs, Guardrails and associated challenges
2. Adversarial Attacks on Large Language Models a.k.a. Jailbreaks
3. Proof of concept for the malicious use of ChatGPT’s hallucination
4. Generative AI tools
5. Predictive analysis of the future of AI related to cybersecurity 

Read the full blog on the evolving role of AI in cybersecurity here