Gartner Warned of Hidden AI Creep in Vendor Software
IT leaders must transition from periodic assessments to continuous oversight as vendor AI capabilities evolve rapidly.
Updated on Sept. 24, 2026 in Artificial Intelligence
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Gartner highlighted the growing risk of AI creep, a phenomenon where third-party vendors integrate agentic AI capabilities into products without informing their customers. This development renders traditional point-in-time vendor risk assessments increasingly unreliable.
Why it matters
Agentic AI tools change performance and functionality faster than current contractual disclosure frameworks can track. This gap forces risk teams to adopt continuous oversight models to maintain transparency.
Traditional assurance relies on periodic vendor attestations and static contractual disclosures to monitor product status. These methods fail to account for agentic AI—autonomous systems that modify their own task execution—which update functionality in real-time.
The players
Gartner
A global research and advisory firm that provides market analysis on IT, business, and enterprise software trends.
The details
AI creep occurs when third-party software providers silently update their stacks with agentic AI, software that can independently plan and execute goals on behalf of a user. Because traditional compliance teams typically assess security and functionality only at fixed, annual intervals, these silent upgrades can introduce hidden risks or unexpected behaviors. Effective oversight now requires shifting to continuous visibility where IT teams actively monitor the live behavior of vendor products rather than relying on paper-based disclosures.
Timeline
2026: The Gartner Enterprise Risk, Audit & Compliance Conference was held.
The Tech Race
This guidance marks a shift from the legacy compliance models that dominated the pre-agentic era of software distribution. It follows the precedent set by the 2026 Gartner Enterprise Risk, Audit & Compliance Conference, which established continuous monitoring as the new standard for enterprise security.
IT procurement and risk departments must now prioritize ongoing vendor monitoring tools over legacy periodic security questionnaires. This shift directly changes how software workflows are audited, favoring platforms that provide granular logs of autonomous AI activity.
The takeaway
Enterprises must abandon static annual compliance reviews in favor of real-time monitoring to mitigate the risks introduced by silent AI upgrades. Watch for the emergence of new continuous compliance software categories as vendors and IT departments scramble to close the visibility gap.
Further reading
For more on how organizations manage these risks, visit Artificial Intelligence.
Source note: This article includes information reported by TechTarget.
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