AI is top of mind. Many teams are being asked to deliver AI strategies ... well, because it is believed an AI strategy is a 'must have' strategic requirement. Sound familiar?

As a result, there are a lot of hopes and expectations being pinned on generative AI to solve many problems. Security is no small exception. Good news. It can remove significant toil for security analysts when summarizing security cases. It mitigates the security talent gap by generating queries from natural language prompts. It can also assist in classifying malicious code.

While applying generative AI to security tasks can clearly help with some threat, toil, and talent challenges, where are the limitations? What use cases make sense and don't? Where are capabilities beyond the core LLM model required to deliver consistent quality? How do safety, data privacy, and security controls factor in?

Please join us to discuss applying generative AI to security and what considerations to make when developing your strategy and making your technology decisions.