Since the launch of CrowdStrike AI Security Services in 2025, our Professional Services team has yet to encounter an organization with an accurate inventory of the AI tools and services in use across its environment.
One customer counted 150 agents in its inventory. We found over 500. Another had not approved agentic development at all; we discovered over 70 active agents. In many cases, web filtering created a false sense of control by masking the extent of unapproved AI activity taking shape inside the environment. These are not edge cases. This is the norm for organizations of every size, across every industry and region.
The new CrowdStrike Shadow AI Visibility Service aims to address this problem by giving organizations the truth about their AI footprint. Powered by the CrowdStrike Falcon® platform and delivered by CrowdStrike experts, this service uses telemetry-based evidence to identify sanctioned and unsanctioned AI usage across endpoint, cloud, and SaaS environments.
Shadow AI Changes the Risk Equation
In the past year, two trends have accelerated the shadow AI problem. First, many organizations have prohibited security teams from generally blocking AI tools and sites for fear of inhibiting experimentation and productivity. Second, AI adoption has accelerated, and the variety of tools has multiplied.
CrowdStrike AI services engagements continue to find shadow AI in SaaS and cloud-hosted AI/ML services. We’re also finding shadow AI across the full endpoint surface: desktop AI applications, browser extensions, IDEs, packages, MCP servers, models, and frameworks. Most organizations also lack visibility into how users are interacting with AI applications, including the user prompts and LLM responses that may contain sensitive data, source code, or credentials.