BigID, the leader in data security, privacy, compliance, and AI data management, has officially announced the launch of Vendor AI Assessment, which would be the first ever solution to focus on helping organizations identify, evaluate, and manage the risks introduced by third-party AI usage.
To understand the significance of such a development, we must take into account a fact that, with there being a haste around the adoption of GenAI, large language models (LLMs), and autonomous agents, organizations continue to struggle against one particular challenge i.e. gauging how AI is being exactly used and what risks it is introducing for their data, privacy, and compliance.
In response, BigID now makes it possible for organizations to assess how their vendors are using AI and what impact that AI has on sensitive data. You see, taking a departure from those traditional governance tools that rely on static surveys, BigID arrives on the scene bearing an ability to discover deployed models, map them to the data they access, and at the same time, provide actionable risk intelligence across AI usage, exposure, explainability, and regulatory readiness.
Not just that, it also marks the first time ever that security, privacy, and legal teams can hold vendors accountable for AI transparency,
Making this development even more critical would be BigID’s 2025 AI Risk & Readiness Report, where it was revealed that 64% of organizations lack visibility into AI risk exposure, whereas on the other hand, nearly half have no AI-specific security controls in place. These findings, like you can guess, really go the distance to reveal a major blind spot in enterprise governance: third-party AI use.
“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.”
Talk about BigID’s latest brainchild on a slightly deeper level, we begin from the solution’s promise in regards to proactively identifying and cutting down on third-party AI risk before it impacts your business.
Next up, there is the potential to gauge vendor AI usage, data access, and training practices to mitigate unwanted data exposure and improve governance. Such a mechanism can help you effectively mitigate unwanted data exposure, while simultaneously improving governance.
Another detail worth a mention is rooted in a facility to operationalize AI oversight, thanks to built-in workflows for risk scoring, documentation, and remediation.
Hold on, we still have a couple of bits left to unpack, considering we haven’t yet touched upon the technology’s bid to bestow privacy, legal, security, and compliance teams with the knowhow to respond against AI-related regulatory demands. This becomes especially relevant as 55% of organizations report being unprepared for emerging AI regulations.
Rounding up highlights would be the technology’s commitment to keep you ahead of AI-driven third-party threats with continuous visibility, faster risk-based decisions, and defensible governance across your ecosystem.
Founded in 2016, BigID’s rise up the ranks stems from enabling organizations to know their enterprise data and take action for data-centric security, privacy, compliance, AI innovation, and governance. The company’s portfolio of solutions is presently focused on helping customers proactively discover, manage, protect, and generate more value from their regulated, sensitive, and personal data across their data landscape.
BigID’s excellence in what it does can also be understood once you consider it has been, so far, named among CRN’s top 100 security companies for two years in a row during 2024 and 2023, as well as a finalist in CRN’s 2024 Tech Innovator Awards. Beyond that, it was also recognized as the most innovative security company of the year for its AI data security in the 2024 Globee Awards.
“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.”
