As the buzz around artificial intelligence (AI) continues to grow, the offensive security community is poised to navigate the practicalities and limitations of AI integration. This talk aims to provide a balanced perspective on the role of AI in enhancing offensive security strategies without succumbing to the hype. We'll also advocate for the use of local AI solutions, which offer more open and accessible capabilities, as a viable alternative to mainstream options.
We'll explore the current landscape of AI in offensive security, acknowledging its benefits while also addressing why its adoption isn't more widespread. The discussion will include a candid examination of AI's capabilities for foundational tasks, tempered with a realistic view of its limitations, and the unique advantages that local AI systems can bring to the table.
Through demonstrations, we'll illustrate how AI, particularly local models, can be adapted to support offensive security operations, offering insights into ethics bypass techniques. Additionally, we'll touch on the customization of AI models and the cautious use of uncensored LLMs, providing an assessment of when and how these tools could be employed.
We'll cut through the noise to focus on practical, responsible applications. This session will empower people to critically assess AI's place in the red teamer's toolkit, encourage the exploration of local AI, and leverage its strengths without overestimating its capabilities.
