#USA #New York #Data Security #BigID #Shadow AI

In an age where artificial intelligence is increasingly integrated into business operations, the emergence of unregulated and unauthorized AI models poses significant challenges. Addressing these concerns, BigID, a leader in data security, launched its innovative Shadow AI Discovery feature on August 6, 2025. This new capability aims to enhance visibility and control within AI governance, helping organizations mitigate risks associated with rogue AI models and data management.

Security teams often lack the necessary tools to track AI model deployment, the datasets they interact with, and the compliance with internal policies. The phenomenon known as Shadow AI introduces risks that can easily elude traditional monitoring systems, leading to data leaks, intellectual property theft, and regulatory infringements. BigID's Shadow AI Discovery is designed specifically to counter these vulnerabilities, providing a comprehensive solution for organizations seeking to gain insight into their AI landscape.

This groundbreaking tool automatically identifies unmanaged AI models, highlights the presence of personal or regulated data involved in training, and maps model usage across various departments. By integrating with model repositories, cloud platforms, and developer tools, BigID equips security teams with a holistic overview of their shadow AI activities. This new visibility is critical in today's complex data ecosystem where AI models may operate unnoticed, exposing companies to various risks.

A distinctive feature of BigID's Shadow AI Discovery is its action-oriented design. Rather than just offering insights, security and governance teams can enforce compliance measures directly through the platform. They can trigger enforcement policies, limit access to risky content, and initiate remediation workflows, thereby proactively addressing issues before they escalate. This functionality provides a crucial control layer that security teams have long needed to manage AI-related risks comprehensively.

Some key functions of Shadow AI Discovery include:

• - Identifying rogue and unauthorized AI models within the organization.
• - Detecting and classifying sensitive data utilized by AI systems.
• - Revealing hidden AI activities across cloud services, SaaS applications, developer tools, and collaboration platforms.
• - Correlating AI models with their associated datasets to enforce policy-driven remediation efforts.
• - Enhancing AI security postures by providing actionable intelligence to stakeholders.

Nimrod Vax, Chief Product Officer and Co-Founder of BigID, emphasized the urgency for security teams to not just identify risky AI systems but to take direct action against them. "Shadow AI Discovery empowers organizations with the end-to-end visibility and control necessary for uncovering hidden models, pinpointing risky data usage, and addressing problems before they become severe," he noted.

BigID's commitment to enhancing AI governance aligns with its mission to equip organizations with the tools needed to understand and protect their critical data. By fostering awareness of high-risk and high-value data environments, BigID seeks to help businesses maintain compliance and security across all data landscapes.

For those interested in exploring the benefits of Shadow AI Discovery, more information is available on BigID's website, including options for booking a demo and accessing further resources. The launch of this innovative feature marks a significant stride in the ongoing efforts to secure AI data management in enterprises worldwide.

In the rapidly evolving digital landscape, understanding the intricacies of AI utilization is more critical than ever. BigID stands at the forefront of this challenge, providing crucial solutions that help organizations navigate the complexities and risks associated with AI technologies responsibly.