Channel partners fill AI control gap as shadow use rises

Channel partners including managed service providers (MSPs) and managed security service providers (MSSPs) are expanding advisory and monitoring services after recent research found 72% of organizations report they have full visibility into AI use while 65% report discovering unauthorized AI activity.

Companies report rapid adoption of generative AI tools, including large language models, as employees use those tools to increase productivity. That usage often takes place without formal oversight and can appear across teams, endpoints and cloud applications. Security and compliance teams frequently cannot identify which external AI services employees are using or what corporate data is entered into those services.

Business leaders have weighed device- and network-level bans on consumer AI tools. Security and technology providers say broad prohibitions often lead employees to use tools on personal devices or unsanctioned cloud services, moving activity outside corporate controls. As a result, many organizations are seeking external partners to create and enforce governance while preserving access where appropriate.

Channel firms are offering a mix of advisory work and technical controls. Advisory services include risk assessments, policy development and inventories of AI use across the IT estate. Technical measures on offer include rules for how data can be submitted to AI systems, deployment of data-loss-prevention controls on AI inputs, monitoring of API calls for unusual patterns and tools that flag unauthorized activity in real time. Providers describe these projects as ongoing managed services rather than one-off deployments.

The commercial demand has two parts: initial governance and policy work, and recurring monitoring and behavioral analytics. Customers are asking for guidance on which AI tools to permit, how to classify and protect sensitive data, and how to integrate safe AI practices into daily workflows. Channel firms with long-term managed-service relationships report they are positioned to deliver both the initial advisory work and follow-on monitoring.

Security practitioners emphasize increasing visibility over imposing strict bans. Providers recommend defining sanctioned AI services, applying data controls to inputs, monitoring usage patterns and training staff on acceptable data sharing with models. Those measures aim to detect risky behavior while allowing legitimate productivity use to continue.

Adoption of consumer-oriented AI tools has outpaced many organizations’ governance frameworks. The fragmented nature of AI use across endpoints, shadow SaaS and third-party integrations makes complete visibility difficult with existing tools. Several channel partners expect governance and monitoring of AI to be an ongoing operational activity rather than a single compliance project.