Скачать или смотреть Session 3: Demystifying Secure Architecture Review for Generative AI-Based Products | Indrasol

Demystifying Secure Architecture Review of Generative AI-Based Products and Services
Welcome to the third session of our AI learning series by Indrasol – Empowering Intelligent Enterprises.

In this session, we dive into the critical importance of security and architecture best practices when building or deploying Generative AI-based products and services. As GenAI becomes mainstream in enterprise applications, it’s essential to understand secure design principles, risk mitigation, and how to conduct a comprehensive architecture review.

📌 In this session, you’ll learn:

Why secure architecture matters in GenAI solutions

Common vulnerabilities in LLM-powered applications

Security best practices for integrating GenAI APIs, models, and tools

Guidelines for conducting architecture reviews of AI services

Real-world examples and threat models for GenAI systems

🔐 Focus Areas:

Data governance and privacy risks

Prompt injection, model manipulation, and abuse prevention

Secure integration patterns for LangChain, GPT APIs, and private LLMs

Tools and frameworks to support secure AI development

🌐 Explore more enterprise AI services at:
👉 https://www.indrasol.com

🎯 Ideal for:
Security architects, AI developers, solution architects, DevSecOps teams, and anyone building or reviewing GenAI-powered systems.

📽️ Missed Sessions 1 and 2? Watch them on our channel to build a strong foundation in LLMs and LangChain integration!

👍 Like, Share & Subscribe to stay ahead in building secure, intelligent systems.

#GenAI #LLMSecurity #SecureAI #AIArchitectureReview #LangChainSecurity #Indrasol #AIAudit #TechTraining #AIWorkshop #SecureDevelopment #GPTSecurity #EnterpriseAI