Evaluating GenAI risk: a CISO's guide to AI security

Generative AI is rapidly advancing, finding use across various enterprise departments, such as marketing, legal, and customer support, due to its ability to create content, summarize documents, and personalize interactions. However, the strategic implementation of security measures is lagging, leading to a phenomenon known as "shadow AI," where AI systems operate without adequate oversight and governance. This poses significant risks, as these systems often access sensitive data and integrate with critical business applications. Chief Information Security Officers (CISOs) face the challenge of managing these risks, which include prompt injection, data leakage, model evasion, and more, necessitating updated governance frameworks and security controls tailored to the unique characteristics of Generative AI. The document emphasizes the importance of integrating GenAI considerations into existing security frameworks, fostering cross-functional governance, and employing specialized solutions like NeuralTrust to ensure real-time monitoring, anomaly detection, and policy enforcement. By addressing these aspects, organizations can confidently harness the potential of GenAI while mitigating associated risks.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.