CrowdStrike Charlotte AI Detection Triage Aims to Boost SOC Efficiency
CrowdStrike launched Charlotte AI Detection Triage, a platform based on agentic AI, which automates detection triage — the aim is to reduce workloads for security operations centers (SOCs).
By leveraging proprietary data from trillions of events daily, Charlotte AI continuously refines its detection capabilities, learning from triage decisions, and the platform can adapt to emerging threats.
Charlotte AI integrates with Falcon Fusion, CrowdStrike’s security orchestration, automation and response (SOAR) platform, to automate workflows and reduce mean-time-to-remediation (MTTR).
Cristian Rodriguez, field CTO for the Americas, CrowdStrike, explained the AI platform is designed to triage detections in seconds rather than minutes, expediting response actions like isolating compromised systems or opening incident tickets.
“The key is our dataset — millions of detections manually reviewed and annotated by our industry-leading Falcon Complete team,” said Rodriguez.
Charlotte AI pairs with Falcon Fusion to automatically handle detection triage and trigger response workflows.
“This cuts triage time from minutes to seconds — saving SOC teams up to 40 hours per week per environment while reducing time to containment,” Rodriguez said.
Balancing AI Automation With Human Oversight
He noted one of the core challenges businesses face in adopting AI-driven security solutions is ensuring trust and transparency in decision-making.
Charlotte AI is built with bounded autonomy, allowing organizations to define the scope and limits of AI-driven actions while maintaining full oversight.
“Bounded autonomy lets organizations define how and where AI-driven and automated triage operates, ensuring transparency and oversight,” Rodriguez said. “SOC teams can set confidence thresholds, control automation workflows through Falcon Fusion and adjust Charlotte AI’s role based on risk tolerance.”
Charlotte AI’s bespoke automation controls allow security teams to adopt AI-driven triage at their own pace, keeping human analysts in control.
To reinforce responsible AI adoption, Charlotte AI ensures that every AI-driven decision is transparent and reviewable. Human analysts can adjust automation rules, fine-tune workflows and oversee how AI operates within their security environment.
Addressing Common Challenges in AI Adoption
Despite the promise of AI-powered security, organizations often hesitate to fully embrace automation due to concerns about trust, control and integration with existing workflows.
Rodriguez said CrowdStrike has designed Charlotte AI to address these concerns providing explainable AI decision-making, human oversight and customizable automation settings.
“The biggest challenges are trust, control and integration,” he said. “Security teams are cautious about handing over decision-making to AI without full visibility into how it works. They need assurance that AI-driven actions are accurate, explainable and won’t suppress critical alerts.”
The idea is by reducing false positives and minimizing repetitive manual tasks, SOC teams can reallocate their focus to advanced threat hunting and incident response.
An AI-powered triage system serves not only to help organizations keep pace with evolving cyberthreats but also empowers analysts to be more strategic in their approach to security.
“Charlotte AI flips the script on AI-powered threats by giving defenders the automation and speed advantage,” Rodriguez said. “It processes detections at scale, enabling SOC teams to focus on high-impact threats and edge cases while accelerating mean-time-to-remediation.”
