In the offensive world, i.e. pentesters, red teamers it is pretty usefull. The keyword here would be 'offensive chatgpt'

Hi Ioannis Gkourgkoutas,

Thanks for the valuable answer. I think, chatgpt is just a machine learning tool can be used for both offensive as well defensive in cyber security. I just want to know about the both perspective. That's why i am highlighting a general word here.

I would think some effort should be expended on Securing the tool, before depending too much on it. See highly "popularized" article below:

https://www.wired.com/story/chatgpt-prompt-injection-attack-security/

The more interesting use (beyond the obvious First level attack generation mentioned in prior comments) would be Chatgpt coupled with Steganography to generate "higher Level" attacks thru the development of "enhanced" data available for unauthorized data access. This would seem to be the ultimate "honeypot style" defensive tool. Further, if a time delay mechanism such as a "sleeping pill" were incorporated to insure the data was past at least a couple of "data backup cycles" the problems generated for the "Sanitization team" in Identifying their infection source and Purging the infection, could be very resource intensive. While this scenario would not preclude a enemy from collecting unauthorized data in a specific instance, (i.e. If they thought the risk was worth the reward), I think it might stop the generalized "sweeping up" of data being done currently and at least force a risk vs reward analysis.

Hi Jim Overbyiii ,

Thankyou for this valuable answer as well as this good article.

Integrating ChatGPT, a sophisticated AI language model, with cybersecurity offers interesting opportunities and unusual problems. ChatGPT's cybersecurity applications and potential concerns are summarised here:

1. Threat Intelligence and Analysis: - ChatGPT helps threat intelligence analysts process and interpret massive data sets. It can uncover patterns, dangers, and insights from multiple data sources.

2. Automated Incident Response: - ChatGPT may be programmed to respond to typical security incidents quickly and guide users or administrators through standardised methods.

3. Security Training and Awareness: - ChatGPT is useful for cybersecurity awareness and training. It simulates phishing attempts, offers security advice, and answers to best practises questions.

4. Improving Security Tool User Interface: - AI models like ChatGPT enhance cybersecurity tool usability for technical and non-technical personnel.

5. Vulnerability Management: - ChatGPT can help manage vulnerabilities by processing reports, prioritising risk, and providing mitigation options.

Challenges and Considerations: - Data Privacy and Security: - Maintaining data privacy and confidentiality, especially for critical security data.

The model's replies must be accurate and dependable, especially in high-stakes circumstances like active cybersecurity events.

- Seamless integration of AI with security systems and protocols.

**References:**

The Journal of Cybersecurity published "Enhancing Cybersecurity with Artificial Intelligence: Current Approaches and Future Possibilities".

Cybersecurity Magazine: "Artificial Intelligence for Cybersecurity: Technical and Ethical Challenges".

- Security Journal, "The Role of AI in Cybersecurity: A Review".

"Chatbots and AI in Cybersecurity: Benefits, Challenges, and Future Trends"—International Journal of Information Security.

AI's involvement in cybersecurity, technological and ethical hurdles, and future trends are relevant to incorporating ChatGPT in cybersecurity situations. They can be found in publications and academic databases or libraries.

One important aspect to keep in mind is that for ChatGPT & ChatGPT Plus you are sharing your information with OpenAI and their systems. ChatGPT Enterprise would be recommended for companies that are handling data for their clients. Even then I would not use it for data of clients. That is of course tricky if you want to use it for writing letters.

One big issue is that the border between applications / services and AI systems will become more fluid when AI is integrated into many systems such as Office. If the AI would receive data from your inbox then it is almost certain that it will contain data that should not be shared. This may become a very big issue when it comes to e.g. EU GDPR compliance.

Even now a lot of companies that are directly responsible for EU citizen data make use of US-based cloud services which is something that directly impacts GDPR.

Another big issue is that it is not so good with numbers. I've seen multiple times that it can get calculations wrong by confusing thousands with millions. These systems are currently far from foolproof.