Summary:

1. OpenAI launched ChatGPT, a large language model chatbot, a year ago, sparking discussion about the societal impact of generative AI.

2. LLMs like ChatGPT have been utilized by cybercriminals in social engineering campaigns, breaking down barriers for inexperienced attackers.

3. Cybercriminals have been hesitant to use generative AI in areas like malware development due to practical issues and safeguards put in place by AI creators.

4. Organizations have adopted generative AI tools in cybersecurity to enhance capabilities and save time and costs.

5. Concerns have arisen regarding data privacy, transparency, and accidental data leaks when using LLM tools.

6. Educating staff on the appropriate use of generative AI models and having a clear vision for their adoption can ensure safe and secure use.

7. Generative AI will augment speed and scale of attacks for cybercriminals, particularly in social engineering and fake social media profile creation.

8. The biggest potential of generative AI in the future lies in hyper-automating investigation and response to reduce organizational risk.

9. AI regulation, such as the EU's AI Act, is expected to facilitate the safe use of generative AI tools.

Hashtags: #ChatGPT #GenerativeAI #Cybersecurity #SocialEngineering #MalwareDevelopment #DataPrivacy #Transparency #DataLeaks #AIRegulation #OrganizationalRisk

https://www.infosecurity-magazine.com/news-features/chatgpt-generative-ai-cybersecurity/