Securing AI starts where AI executes: on the endpoint. CrowdStrike has been capturing process-level telemetry on the endpoint for over a decade, and that same visibility now extends across browser, SaaS, and cloud. This is why we can deliver AI discovery across every surface where AI operates, from a single platform and a single engagement.
CrowdStrike Shadow AI Visibility Service
Prioritized findings and expert guidance: Risk-prioritized findings and actionable recommendations from CrowdStrike experts to help teams reduce exposure and strengthen AI security posture
Adversarial risk assessment: Test model security, conduct threat modeling, and identify attack paths for select internally developed AI applications.
Learn more on our services page or contact services@crowdstrike.com.
Visibility gap analysis: Analysis to understand what is present in the environment versus what the organization believes is approved — exposing unauthorized sprawl, hidden agents, and visibility blind spots
For organizations seeking greater visibility into their exposures, the CrowdStrike Frontier AI Readiness and Resilience Service provides ongoing, AI-driven scanning to identify vulnerabilities and prioritize them based on adversary risk and business criticality. As frontier AI shrinks the window between vulnerability discovery and exploitation, this helps organizations learn where they are exposed, what is reachable, and whether their controls are strong enough to stop a breach.
Program recommendations: Advise on governing, securing, and monitoring workforce GenAI usage and secure development of AI applications
Discovery Is Step One. What Comes Next?
Secure configuration: Assess feature configurations and risks in GenAI applications and services
Securing AI adoption requires shifting from a reactive posture to a threat-informed, evidence-driven defense. This transition begins with achieving total visibility of the current footprint.
- Without an accurate inventory, risk compounds quickly. Shadow AI is not just a funnel for sensitive data loss, including IP exposure, source code leakage, and regulatory risk. It can also act on that data by making decisions, triggering workflows, and taking autonomous action across connected systems without the visibility, guardrails, or human oversight security teams expect.
- This new service gives customers the evidence and guidance they need to understand their true AI footprint and reduce risk with confidence. Customers receive:
- For organizations that need to go deeper, the CrowdStrike AI Systems Security Assessment extends beyond discovery into:
Runtime evidence of AI activity: Technical evidence of how AI is being used in practice, including prompts, responses, and agent activity — so security teams can see what’s actually happening, not what users self-report
A comprehensive AI inventory: A clearer accounting of AI tools, agents, copilots, extensions, and model-connected services operating across endpoint, cloud, and SaaS environments
Visibility is the foundational phase of a secure AI strategy. Once an organization understands its real AI footprint, the next requirement is to evaluate whether those systems are resilient against adversarial manipulation.
