Using Local Models and Other Frameworks

In this chapter, we explore the transformative potential of local AI models and frameworks in cybersecurity. We begin by leveraging LMStudio to deploy and interact with AI models locally, enhancing privacy and control in data-sensitive scenarios. Open Interpreter is then introduced as a tool for advanced local threat hunting and system analysis, followed by Shell GPT, which significantly augments penetration testing with NLP capabilities. We delve into PrivateGPT for its prowess in reviewing sensitive documents such as Incident Response (IR) Plans, ensuring data remains confidential. Finally, Hugging Face AutoTrain is showcased for its ability to fine-tune LLMs specifically for cybersecurity applications, exemplifying the integration of cutting-edge AI into various cybersecurity contexts. This chapter not only guides through practical applications but also imparts knowledge on effectively utilizing these tools for a range of cybersecurity tasks...