Generative AI and LLMs: Security Use Cases and Priorities to Minimize Risk

Generative AI and LLMs: Security Use Cases and Priorities to Minimize Risk    

The use of Generative AI and LLMs, like ChatGPT, is becoming so ubiquitous that it can’t be blocked. This symposium identifies security use cases that enable teams without taking unnecessary data security risks, and focuses in on areas where current risks exist with strategies to minimize them.

• Grasp the extent of potential privacy, regulatory and intellectual property implications of both input and output into these technologies
• Understand the scope of internal policy and procurement controls, as well as education, teams need to use these technologies safely and effectively
• Examine how data classification and role management tactics can help (and relying on DLP controls for prompt data to AI models won’t help)
• Discuss common pitfalls of these technologies, including hallucinations, prompt injection and code integrity
• Outline security use cases where these technologies can enable teams without taking unnecessary risks

Audience

This event is for IANS clients and invited guests — there is no vendor sponsorship or presence.