Akram Sheriff, Cisco Systems, Senior Software Engineering Leader

Due to the surge in popularity and recent advancements in the development, distribution, and implementation of Large Language Models (LLMs) for Generative AI (GENAI) applications in both industry and academia, there has been a growing focus on their security, safety, and vulnerability risks. Notably, research has demonstrated that LLMs can be exploited for illicit activities such as fraud, impersonation, and even the creation of malware-based attacks. Given these concerns, it is crucial for AI developers, security experts, and Responsible AI (RAI) professionals to be well-informed about the security challenges associated with deploying LLMs in large-scale production environments.

Gain valuable insights into implementing LLM-based guardrails to enhance the security and reliability of conversational systems. Learn architectural best practices for deploying APIs using LLM frameworks to proactively mitigate common security threats.