Not long ago, evaluating a vendor was a predictable exercise: an annual questionnaire, a standard contract clause, a renewal meeting. In 2026, that approach is being tested — for good reason. Companies now depend on a far more complex mix of SaaS vendors, cloud platforms, data processors, managed service partners, and, increasingly, AI providers embedded in critical processes. Treating every link in that chain with the same static form no longer reflects the actual risk they carry.
AI vendors need their own yardstick
AI tools concentrate several kinds of risk that used to sit separately: they influence business decisions, process sensitive data, depend on external infrastructure, and evolve far faster than traditional security review cycles. A vendor assessment that stops at “did this pass a pentest?” doesn’t answer the questions that actually matter: what data does this model access, how do its outputs influence decisions, what monitoring exists, and what happens if you need to switch providers quickly.
The standard that became a purchase requirement: ISO/IEC 42001
This shift now has a name and a standard behind it. ISO/IEC 42001, published in December 2023, is the first international management-system standard aimed specifically at organizations that develop, provide, or use AI systems. It doesn’t certify that an AI is “safe” — it certifies that the organization has a structured management system for AI governance and risk: documented risk assessment, human oversight, data controls, and continuous monitoring.
What used to be a differentiator is turning into a procurement gate. Major vendors have pursued certification in direct response to enterprise customer pressure: AWS in November 2024, Anthropic in January 2025, Snowflake in June 2025, and ServiceNow in December 2025. BCG reported being among the first 100 organizations certified globally as of January 2026. The pressure is strongest exactly where AI influences decisions about employment, credit, healthcare, or public services — areas where buyers can no longer rely on vendor marketing claims alone.
The overlooked risk: concentration
There’s a second point that comes up less often in risk committees but carries equal weight: vendor concentration. It’s common for an organization not to notice that multiple critical processes — identity, data storage, payment processing — depend on the same provider. That overlap creates a single point of failure: an outage, a pricing change, or degraded support at one vendor can hit several parts of the business at once.
Mapping which vendors support which regulated or critical processes — and honestly assessing how hard each would be to replace — is now just as relevant as reviewing information security clauses.
Why this matters beyond the security team
This has already reached the commercial negotiating table. More and more contracts — from demanding customers, international partners, M&A processes — now include due-diligence clauses asking for concrete evidence of how a company assesses, monitors, and responds to third-party risk, including AI vendors, and increasingly ask explicitly for alignment with standards like ISO/IEC 42001. Not having that process structured is no longer just a security gap — it’s a real obstacle to closing deals.
That’s precisely the convergence point between privacy, data protection, and risk management that a Unified Data Privacy & Protection Management approach is built to address: instead of treating vendor assessment, compliance, and incident response as separate fronts, the idea is a single thread — centralized visibility into who accesses which data, under what basis, and at what associated risk level.
Where to start
For compliance and security teams still running the traditional checklist, three practical steps help start moving in this direction. Map which vendors — especially AI ones — have access to regulated data or support critical business processes, not just list active contracts. Assess integration depth and how hard each would actually be to replace, spotting concentration points before an incident reveals them. And run a gap analysis against a reference standard like ISO/IEC 42001 — Virtual Officer’s Gap Analysis module already covers this framework — to turn the requirement into something measurable, not just a contractual promise.
Vendors aren’t going to stop multiplying, and the procurement bar isn’t going to drop. Companies that treat third-party evaluation as a structured part of their privacy and AI governance posture — rather than an annual form — arrive better prepared both for certification and for the next commercial deal that demands the proof.