CrowdStrike Unveils Agentic AI: Introducing Charlotte AI Detection Triage – Intelligent CISO

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CrowdStrike Unveils Charlotte AI Detection Triage: A Game Changer in AI-Driven Security Operations

CrowdStrike, announced the general availability of Charlotte AI Detection Triage, a major breakthrough in agentic AI-driven security operations. Operating with customer-defined bounded autonomy, Charlotte AI triages security detections with over 98% accuracy, eliminating more than 40 hours of manual work per week on average to scale SOC operations and accelerate response times to the most critical threats.

Developed in close collaboration with CrowdStrike Falcon Complete Next-Gen MDR — the gold standard in managed detection and response — Charlotte AI is trained on millions of real-world triage decisions and combines the power of AI with the precision of human expertise to deliver expert-level SOC triage at machine speed.

This agentic AI innovation capitalises on CrowdStrike’s unique cybersecurity data advantage coupled with the power of the Falcon platform, yielding a closed-loop feedback process of constantly improving security outcomes.

Adversaries are weaponizing AI to launch attacks faster than ever, overwhelming security teams with floods of alerts. With breakout times shrinking to minutes, defenders can’t afford to waste time sorting through false positives.

Charlotte AI Detection Triage eliminates this burden by autonomously analysing, prioritising and summarising detections with superior accuracy, instantly distinguishing true positives from false positives so analysts can focus on real threats.

Unlike generic AI models trained on broad repositories, Charlotte AI is built on CrowdStrike’s proprietary data set — years of curated Falcon Complete triage decisions — delivering highly accurate detections based on real adversary tradecraft.

Built with embedded guardrails, Charlotte AI Detection Triage operates within a model of bounded autonomy, ensuring security teams maintain full oversight of AI-driven decisions. Security teams can define when and how AI-driven and automated actions occur — from triage to final response.

Charlotte AI Detection Triage supercharges SOC teams with speed, accuracy and control — freeing analysts from repetitive tasks, improving operational efficiency and delivering trusted AI-powered security.

Charlotte AI Detection Triage revolutionises SOC operations by:

Eliminating Manual Work and Analyst Fatigue

With over 98% accuracy, Charlotte AI responsibly triages detections autonomously, filtering out false positives and closing low-risk alerts — eliminating more than 40 hours of grunt work per week on average. By rapidly identifying high-priority threats, security analysts can focus on the critical threats that matter most.

Accelerating Incident Response and SOC Efficiency

Charlotte AI seamlessly integrates with CrowdStrike Falcon Fusion, automating detection triage and response workflows to reduce mean time to respond, MTTR, ensuring analysts focus on high-fidelity detections.

Proving Responsible AI Adoption with Built-in Control

Charlotte AI operates with customer-defined bounded autonomy, enforcing defined guardrails that give security teams full oversight of AI-driven decisions. Organisations can control when and how automated actions occur, keeping AI-driven automation trusted, accountable and under human agency.

“Charlotte AI Detection Triage represents the next leap forward in agentic AI innovation, uniting the power of AI and the precision of human expertise to define tomorrow’s SOC,” said Elia Zaitsev, Chief Technology Officer, CrowdStrike.

“As attacks grow more sophisticated and faster, security teams need AI-driven solutions that deliver measurable operational impact. Charlotte AI enables defenders to move faster with greater accuracy — while ensuring SOC teams maintain full control. This is the future of AI in cybersecurity — one that accelerates response, enhances productivity and helps organisations stay ahead of evolving threats.”

CrowdStrike Unveils Charlotte AI Detection Triage: A Game Changer in Cybersecurity Operations

In a significant leap for cybersecurity, CrowdStrike has announced the general availability of its groundbreaking Charlotte AI Detection Triage, which utilizes agentic AI to revolutionize security operations. Designed with customer-defined bounded autonomy, Charlotte AI achieves an impressive accuracy rate of over 98%, reducing the manual effort required in Security Operations Centers (SOCs) by an average of 40 hours per week. This innovation not only scales operations but also accelerates response times to critical threats.

Developed in collaboration with CrowdStrike Falcon Complete, the industry leader in managed detection and response, Charlotte AI is trained on millions of real-world triage decisions. It blends AI’s computational power with human expertise, delivering expert-level SOC triage at machine speed. The system autonomously analyzes, prioritizes, and summarizes security detections, allowing analysts to focus on genuine threats and significantly reducing the chaos of false positives.

As adversaries increasingly harness AI to launch rapid attacks, the challenge for security teams has intensified. With alert floods overwhelming resources, Charlotte AI addresses this issue head-on, providing a closed-loop feedback process that continually improves security outcomes based on CrowdStrike’s extensive data advantage.

Charlotte AI Detection Triage goes beyond mere automation; it is built with embedded guardrails to ensure security teams retain control over AI-driven decisions. Organizations can dictate how and when automated actions occur, ensuring a balance between efficiency and oversight.

Elia Zaitsev, Chief Technology Officer at CrowdStrike, emphasizes the significance of Charlotte AI, stating, “This is the future of AI in cybersecurity—one that accelerates response, enhances productivity, and helps organizations stay ahead of evolving threats.” As the urgency for robust cybersecurity solutions grows, Charlotte AI stands poised to lead the charge in safeguarding digital landscapes.

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