BigID, a leader in data security, privacy, compliance, and AI data management, has introduced Vendor AI Assessment, the first solution designed to help organizations identify, evaluate, and manage risks associated with third-party AI usage.

As vendors rapidly integrate generative AI, large language models (LLMs), and autonomous agents into their products, businesses often struggle to understand how AI is being used and the potential risks it poses to data security, privacy, and compliance. With this launch, BigID becomes the first company in security and privacy to offer a dedicated, data-driven assessment focused specifically on vendor AI use.

Expanding on its leading capabilities in vendor management and third-party risk, BigID now enables organizations to assess not just who they do business with, but how those vendors are using AI and what impact that AI has on sensitive data. Unlike traditional governance tools that rely on static surveys, BigID discovers deployed models, maps them to the data they access, and provides actionable risk intelligence across AI usage, exposure, explainability, and regulatory readiness.

For the first time, security, privacy, and legal teams can hold vendors accountable for AI transparency, ensuring they understand whether vendor AI is trained on customer data, whether results can be trusted, and whether the risks are worth the rewards.

A stark picture of the current state of AI governance emerges from BigID's 2025 AI Risk & Readiness Report, revealing that a significant 64% of organizations lack crucial visibility into their overall AI risk exposure. Compounding this challenge, nearly half of all enterprises surveyed have yet to implement any AI-specific security controls. These concerning figures highlight a growing "blind spot" within enterprise governance, particularly concerning the burgeoning use of AI by third-party vendors. As many organizations are still working to establish internal AI oversight frameworks, BigID is stepping in to bridge this critical gap, extending much-needed visibility to this often-overlooked yet potent threat vector: the AI embedded within vendor solutions.

Key Takeaways:

• Identify and reduce third-party AI risk before it impacts your business with the industry's first solution to assess vendor AI use.
• Uncover vendor AI usage, data access, and training practices to mitigate unwanted data exposure and improve governance.
• Operationalize AI oversight with built-in workflows for risk scoring, documentation, and remediation.
• Equip privacy, legal, security, and compliance teams to respond to AI-related regulatory demands, especially as 55% of organizations report being unprepared for emerging AI regulations.
• Stay ahead of AI-driven third-party threats with continuous visibility, faster risk-based decisions, and defensible governance across your ecosystem.

"AI adoption is accelerating, but most organizations remain blind to how their vendors use AI on their data," said Dimitri Sirota, CEO of BigID. "We built Vendor AI Assessment to help security, privacy, and legal teams uncover these blind spots, reduce exposure, and ensure responsible use of AI across their third-party ecosystem."

"BigID continues to innovate with Vendor AI Assessment. Given the rapid integration of AI in vendor offerings, businesses must demand transparency and accountability," said Dr. Edward Amoroso, CEO of TAG & Research Professor at NYU. "BigID's Vendor AI Assessment provides a crucial tool for organizations to understand and mitigate the unique risks posed by third-party AI use."