AI is among the fastest-growing and most privileged application categories in the enterprise — and one of the least visible to security teams. According to the CrowdStrike 2026 Global Threat Report, adversary use of AI continues to accelerate, increasing both the speed and scale of attacks. Shadow AI, over-permissioned access, and unmonitored data flows are expanding the attack surface, while adversaries move at machine speed to exploit them.
Without centralized visibility, organizations risk delayed detection, incomplete investigations, and compliance gaps, as well as blind spots in incident response, compliance reporting, and insider threat programs.
This correlation is where Falcon Next-Gen SIEM transforms raw AI telemetry into actionable intelligence. In this scenario, anomalous access patterns that might suggest credential compromise become far more compelling when paired with the AI activity that followed. Data exposure risks become clearer when file movement and AI usage are viewed in the same timeline, against the same user’s behavioral baseline.
As organizations scale Anthropic’s Claude model across their workforce, they need the same level of auditability around AI platform activity that they expect from every other enterprise application. A new integration with the Claude Compliance API brings Claude activity into the CrowdStrike Falcon® platform to deliver real-time visibility, detection, and automated response for AI use.
Unified Visibility with Falcon Next-Gen SIEM
Security teams gain real-time visibility into Claude activity by bringing Claude audit data together with trillions of security events already ingested daily into the Falcon platform with CrowdStrike Falcon® Next-Gen SIEM.
Anthropic’s Claude Platform provides audit visibility into authentication events, user activity logs, administrative changes, and API usage, bringing this unique AI platform telemetry into the SOC. With this new integration, security teams can ingest and act on this data using existing SOC workflows.
By combining Claude activity alongside endpoint, identity, cloud, and third-party telemetry, Falcon Next-Gen SIEM correlates and contextualizes AI usage data the moment it matters. This gives analysts a complete picture rather than isolated signals.
For example, suspicious logins preceding unusual Claude activity, anomalous API creation tied to specific user sessions, or off-hours administrative changes occurring alongside sensitive AI queries no longer exist as separate data points. They can surface together as a coherent, prioritized story.
Because this activity is unified within the Falcon platform, analysts can investigate AI-related incidents using the same workflows they already rely on, and pivot seamlessly from detection to full context without switching tools or waiting on logs. The result is faster investigations, clearer insight, and more confident response.
