Mr. Anuj Tyagi
Generative AI GuardRails: Understanding and Preventing LLM Security Threats
Abstract:
Generative AI, driven by large language models (LLMs), is revolutionizing industries through advanced applications in content creation, automation, and data analysis. However, this rapid adoption exposes systems to critical security threats, including injection attacks, data leakage, misinformation, and adversarial exploits. Addressing these vulnerabilities is essential to ensure the safe and ethical use of LLMs.The concept of Generative AI Guardrails focuses on mitigating risks and reinforcing the security of LLM systems. Key strategies include robust input validation, secure deployment practices, real-time monitoring, and adherence to ethical principles. Role-based access controls, compliance frameworks, and continuous auditing play a crucial role in building trust and reliability. Establishing these guardrails is essential for fostering secure, resilient, and responsible generative AI systems while maintaining their transformative potential in diverse applications.
Brief Profile:
Anuj is a Senior Site Reliability Engineer at RingCentral Inc, specializing in the Video platform built on Cloud and AI technologies. He focuses on ensuring security. reliability and scalability of the platform. His role includes optimizing AI workloads, monitoring system performance, and addressing potential threats to build robust and secure AI systems