ChatGPT can automatically generate threat intelligence reports based on various data sources, including social media, news articles, dark web forums, and other online sources.

A feature of GPT-4’s architecture is its ability to generate natural, context-based text. This can be exploited to create an AI-powered incident response assistant, capable of providing immediate guidance during an incident and automatically documenting events as they unfold.

GPT-4 can be trained on a dataset of known malware signatures, malicious and benign code snippets, and their behavior patterns.

These reports can help organizations identify potential security threats, assess their risk level, and take appropriate action to mitigate them.

ChatGPT cybersecurity use cases could provide considerable relief for understaffed SOC teams and help the organization by reducing overall cyber-risk exposure levels.

Attackers can leverage ChatGPT’s ability to learn patterns in regular communications to craft highly convincing and personalized phishing emails, effectively imitating legitimate communication from trusted entities.

ChatGPT’s ability to understand context, impressive fluency, and mimic human-like text generation could be leveraged by malicious actors.

In the context of ChatGPT, using reverse psychology can entail phrasing your questions or statements in a way that indirectly prompts the AI to generate the desired response.

Using this method, you attempt to override the base data and settings the developers have imbued into ChatGPT.

jailbreaking” originated in the realm of technology, where it referred to bypassing restrictions on electronic devices to gain greater control over software and hardware

This allows defenders to speed up and automate the incident response process

The evolving GenAI tools have been a double-edge sword in cybersecurity

Generative AI (GenAI) models has been the highlight of digital transformation in the year 2022.

We believe that this work will contribute to the growing knowledge of GenAI from a cybersecurity perspective, helping the stakeholders better understand the risk, develop an effective defense, and support a secured digital environment.

there are ways to bypass the restrictions imposed on these models using jailbreaking, reverse psychology and other techniques,

Attackers use the generative power of GenAI tools to create a convincing social engineering attack, phishing attack, attack payload, and different kinds of malicious code snippets that can be compiled into an executable malware file [19], [20].

the use of GenAI against cybersecurity and its risks of misuse can not be undermined

These tools leverage the information from LLMs trained on the massive amount of cyber threat intelligence data that includes vulnerabilities, attack patterns, and indications of attack.

defense techniques and uses GenAI tools to improve security measures, including cyber defense automation, reporting, threat intelligence, secure code generation and detection, attack identification, developing ethical guidelines, incidence response plans, and malware detection.

GenAI tools in developing cyber attacks, and explore the scenarios where ChatGPT can be used by adversaries to create social engineering attacks, phishing attacks, automated hacking, attack payload generation, malware creation, and polymorphic malware

use of GenAI tools in both the defensive and offensive side of cybersecurity