4 Ways Businesses Use CrowdStrike Charlotte AI to Transform Security Operations

Security teams are being asked to do more than ever, often with fewer people and less time. As alert volumes continue to rise and adversaries automate their attacks, even mature SOCs struggle to keep pace. Legacy tools surface signals, but they still leave analysts responsible for triage, investigation, and response decisions that take time and experience to execute well.

CrowdStrike® Charlotte AI™ was built to change that model.

Rather than functioning as a chatbot or standalone assistant, Charlotte AI acts as an always-on agentic security analyst embedded directly into the CrowdStrike Falcon® platform. Its fleet of agents triage alerts, investigate threats, and help teams automate response by reasoning through detections the same way an experienced analyst would. Every action is inspectable, governed by guardrails, and designed to keep humans in control.

Across industries, CrowdStrike customers use Charlotte AI today to offload repetitive work and accelerate decision-making to operate their SOCs at a pace that matches modern threats. Here, we share how four organizations are putting Charlotte AI to work in production environments.

Accelerating Detection and Triage at Scale

For Blackbaud, a global software provider supporting nonprofits and higher education institutions, detection speed is critical. With a broad attack surface and sensitive data at stake, Blackbaud works to rapidly understand and assess alerts. 

Blackbaud has operationalized Charlotte AI across its SOC and uses it daily for triage, investigation, and threat hunting. Analysts rely on Charlotte AI to summarize detections, generate queries, and guide investigative pivots inside CrowdStrike Falcon® Next-Gen SIEM. 

Rather than replacing analyst judgment, Charlotte AI shortens the time it takes to reach it. The results are measurable: Blackbaud reported a 3x improvement in mean time to resolve (MTTR) after integrating Charlotte AI into daily workflows. 

“We’ve used Charlotte AI over 30,000 times in 30 days,” noted Jake Daniels, Senior Manager of Defensive Cyber Operations at Blackbaud. “It’s helped us detect issues faster and focus our analysts on what matters most.” 

Charlotte AI acts on detections generated by CrowdStrike’s existing AI and analytics, including machine learning, indicators of attack (IOAs), and CrowdStrike Threat Graph®. It does not replace those systems — rather, it reasons over their output to help analysts move from signal to decision faster.

Cutting Investigation Time by 70%

At Universidad Europea de Madrid (UEM), the challenge was scale and visibility. As the university expanded into a multicloud environment across Azure, AWS, and Google Cloud, nearly 70% of its new cloud footprint was invisible to legacy tools.

Security analysts were spending the majority of their time on what leadership described as mechanical analysis. This included manually correlating data, managing spreadsheets, and assembling context before meaningful investigation could even begin.

Charlotte AI now performs much of that initial analysis automatically. By reasoning across endpoint, cloud, and log data within the Falcon platform, it presents prioritized, context-rich investigations instead of raw alerts.

The result is significant: UEM reduced the time spent in the initial phase of a security event by approximately 70%.

“Now the mechanical analysis is finished before my team even starts,” said Daniel Milner Resel, who leads cybersecurity at UEM.

With repetitive investigation work significantly reduced, the team now spends more time analyzing trends, validating risk assumptions, and preparing for emerging threats. That level of forward-looking focus was not possible before.

Scaling Security Operations Without Expanding Headcount

For Straumann Group, a global healthcare and medtech organization, scale and regulation demand efficiency. The security team operates across thousands of users, multiple regions, and highly sensitive patient data, with little room for error. 

Straumann uses Charlotte AI as part of an automation-first strategy the team describes as “security as code.” Rather than treating AI as a conversational assistant, the team uses Charlotte AI to identify gaps, recommend automation paths, and support scalable operations across the SOC. 

“We’re using AI to support automation and scalability,” said Carlos Valderrama, Global Head of Security Operations at Straumann Group. “That’s how we can operate at this scale without continuously growing the team.” 

Because Charlotte AI is trained on the decisions of CrowdStrike Falcon® Complete Next-Gen MDR analysts, its recommendations reflect real frontline experience. Straumann’s team can inspect that reasoning, learn from it, and decide when and how to act. This human-AI partnership allows the organization to scale security operations while maintaining trust and control.

Strengthening Audit Readiness and Investigation Workflows

At Addition Financial, a regional credit union operating in a highly regulated environment, compliance and operational efficiency go hand in hand.

Within Falcon Next-Gen SIEM, Charlotte AI has become a key part of the security engineer’s workflow. It helps generate complex queries quickly, reducing the need to manually construct searches or master underlying syntax.

During a recent audit, Charlotte AI was used to build precise queries that demonstrated evidence of privileged actions across the environment. The result was rapid evidence generation and zero audit findings.

“This year, I used Charlotte AI to build the exact query I needed,” said Paul Colon, Addition Financial’s dedicated security engineer. “We showed evidence of every privileged action in just minutes.”

By lowering the barrier to extracting value from telemetry, Charlotte AI allows the team to focus on risk reduction and security outcomes rather than tool management.

Charlotte AI and the Agentic SOC

Across these customer stories, a clear pattern emerges: Charlotte AI is the brain of their agentic SOC, powering the fleets of agents that reason, act, and adapt alongside human defenders.

By triaging alerts, accelerating investigations, and supporting controlled automation, Charlotte AI helps SOC teams operate at machine speed without sacrificing oversight. Every action is grounded in inspectable data, guided by analyst-defined guardrails, and informed by the experience of CrowdStrike’s industry-leading experts.

This is the foundation of the agentic SOC, where mission-ready agents execute repetitive work at scale and humans focus on judgment, strategy, and impact. For organizations facing growing threats and limited resources, these real-world customer experiences show what’s possible when AI is built into security operations from the start.

Additional Resources

• Learn more about Charlotte AI, the brain of the agentic SOC.
• Explore more CrowdStrike customer stories and videos.