AI Security Series: What It Really Takes to Secure Gen AI
This is Acuvity’s AI Security Series which offers a comprehensive exploration of securing AI systems, particularly focusing on Large Language Models (LLMs) and agentic applications. Each installment delves into critical components of AI security, providing insights and strategies for enterprises to protect their AI assets effectively. Here’s an overview of what each article covers:
Part 1 – Applications and Agents
This introductory article examines the security challenges associated with AI applications and autonomous agents. It highlights the importance of implementing robust security measures to prevent unauthorized access and ensure the integrity of AI-driven processes.
Part 2 – Gen AI Application Security Pillars
This piece outlines the foundational pillars necessary for securing generative AI applications. It discusses best practices for safeguarding AI models against threats such as data leakage and unauthorized manipulation.
Part 3 – Datastore
Focusing on the role of datastores in AI applications, this article addresses the security implications of data storage and retrieval. It emphasizes the need for secure data management practices to protect sensitive information used by AI systems.
Part 4 – Model Usage
This installment explores the risks associated with the usage of AI models, including potential vulnerabilities arising from improper deployment and usage patterns. It provides guidance on monitoring and controlling model interactions to maintain security.
Part 5 – Model Training
The final article in the series delves into the security considerations during the training phase of AI models. It discusses strategies to prevent data poisoning and ensure the integrity of the training process.
By following this series, readers will gain a holistic understanding of the multifaceted aspects of AI security, from application deployment to data management and model training. Each article provides actionable insights to help organizations fortify their AI systems against evolving threats
Satyam Sinha
http://acuvity.aiSatyam Sinha is the Co-founder and CEO of Acuvity, an AI security company focused on providing enterprises with visibility, governance, and granular controls over employee use of AI applications. He has a significant background in building enterprise products across infrastructure and security. Prior to Acuvity, he co-founded Aporeto Inc., a machine identity-based cybersecurity startup that was acquired by Palo Alto Networks.