AI tools are increasingly being used in cyberattacks and defense mechanisms. This is shifting the paradigm of cyber defense by training the LLMs to simulate attack scenarios based on the industry and organization context. This includes the use of business data from the OEMs and Tier 1 suppliers to train the AI modules. Application testers can use generative AI to simulate sophisticated cyber attacks; emulate the exploitation of code configuration issues for preventative security; impersonate the system user by querying mechanisms for human interaction; or simply add context to threat technique identifiers within the Mitre Att&ck framework.

• The concept of AI and LLM in security testing
• Use cases
• Kill chain analsysis