Mastering AI Security: Top 10 Risks and Mitigations for LLMs

SummaryThis episode explores the top 10 security risks associated with deploying large language models (LLMs) and AI systems. It provides practical insights and mitigation strategies to help organizations secure their AI implementations effectively.KeywordsAI security, LLM risks, prompt injection, data leakage, supply chain security, poisoning, output handling, system prompt leakage, misinformation, resource exhaustionKey  topicsPrompt injection vulnerabilitiesSensitive data leakage in AI systemsSupply chain risks in AI deploymentData and model poisoning techniquesHandling AI-generated outputs securelyManaging AI agent autonomy and permissionsSystem prompt leakage and its implicationsWeaknesses in vector and embedding systemsHallucinations and misinformation in AIResource exhaustion and denial of service in AIChapters00:00 Introduction to AI Security Risks04:55 Prompt Injection: The King of Vulnerabilities11:48 Supply Chain Vulnerabilities in AI Systems18:47 Improper Output Handling and Its Risks24:59 Misinformation and Hallucination ProblemsResourcesOWASP Top 10 for Large Language Models (https://owasp.org/www-project-top-10-for-large-language-model-applications/)Let’s Stay Connected📧 Email: [email protected]🔗 LinkedIn: linkedin.com/in/kssantosh