AI Platforms Security Risks
Organizations often mistakenly assume that data entered into Generative AI (GenAI) tools is secure. Unless using licensed enterprise versions with clear data governance agreements, sensitive information may be retained, analyzed for improvements, or shared across sessions. Public GenAI tools generally lack critical certifications such as SOC 2, HIPAA, or FedRAMP, leaving data security unclear. HR departments, managing sensitive data like health records and employee compensation, are particularly vulnerable due to inadequate training in data security.
To mitigate risks, organizations must adopt robust governance strategies. This includes establishing clear acceptable use policies, providing secure enterprise AI platforms with access controls, and disabling data logging features by default. Enhanced insider threat models should incorporate monitoring for unusual behaviors related to GenAI tool usage. Continuous training tailored to high-usage departments will ensure employees understand the risk implications. The shift from traditional security measures to a more comprehensive approach is essential to protect against potential data breaches and maintain corporate integrity.
