Explore the critical aspects of AI safety and security in this 24-minute conference talk by Manojkumar Parmar at the LLMs in Production Conference. Dive into the challenges and risks associated with large language model (LLM) adoption and discover AIShield.GuArdIan, a revolutionary technology enabling businesses to leverage ChatGPT-like AI while maintaining compliance. Learn about the unique approach to ensuring legal, policy, ethical, role-based, and usage-based compliance, allowing companies to harness LLMs' power safely. Gain insights into AIShield's mission, customer pipeline, and strategic partnerships across industries. Examine various risk mitigation strategies, explore use cases across verticals, and understand the integration of AIShield.GuArdian in LLM-assisted software development. Delve into deployment architecture, jailbreak benchmarking results, and take the first step towards a secure AI-powered future.
Transforming AI Safety and Security for Enterprise LLM Adoption
Overview
Syllabus
Intro
AIShield - Securing Al systems of the world A strong global customer pipeline and strategic partnership base across industry
How would you respond to the risks? Options for organizations
AIShield.GuArdian Security & Policy control for Enterprise LLM adoption
AIShield.GuArdlan - Solution View
AIShield.GuArdlan Current focus - Design Partnership across use cases across verticals
Use Case | Risk Mitigation
AIShield.Guardian use case LLM Assisted Software Development | User View
AIShield.GuArdlan: LLM Application Developer View Start working on your enterprise usecase with only 2 lines of code
Integration Examples Integration with other applications, server, files or DBs
Guardian - Representative Deployment Architecture
Guardian Overview
Jail Break Benchmarking - Early Results
Summary
Taught by
MLOps.community
