How To Manage GenAI Security Risks

Here to stay, GenAI tools are introducing new SaaS security risks. Employees often misplace their trust in easily accessible GenAI tools to automate work, without understanding the security implications. When asked about the risks of GenAI, ChatGPT replies: "Data submitted to AI models like ChatGPT may be used for model training and improvement purposes, potentially exposing it to researchers or developers working on these models." This exposure expands the attack surface of organizations that share internal information in cloud-based GenAI systems. New risks include the danger of IP leakage, sensitive and confidential customer data, PII, as well as threats from the use of deepfakes by cybercriminals using stolen information for phishing scams and identity theft. Threat actors today are increasingly focused on the weakest links within organizations, such as human identities, non-human identities, and misconfigurations in SaaS applications. The rapid uptake of GenAI in the workforce should, therefore, be a wake-up call for organizations to reevaluate their security tools to handle the next generation of SaaS security threats. To regain control and get visibility into SaaS apps that have GenAI capabilities, organizations can turn to advanced zero-trust solutions such as SSPM (SaaS Security Posture Management) that can enable the use of AI, while strictly monitoring its risks. A leading SaaS security expert shares this article that outlines what you need to know to kickstart GenAI security in your SaaS ecosystem. Read this article and you'll understand: Why GenAI is a concern for SaaS security teams How GenAI can expose organizations to data leakage, breaches, and compliance violations.  What an SSPM, with GenAI risk management capabilities, can do to control and manage security posture for GenAI apps    Read the article to learn more ➞

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