Expert Agents: Native AI Reasoning Across the Falcon Platform
Effective threat triage requires correlating evidence across endpoints, identities, vulnerabilities, and threat intelligence while applying consistent analytical frameworks to thousands of daily detections. Manual analysis cannot maintain this rigor at scale. The same detection evaluated under different operational conditions produces different outcomes. Critical threats slip through when processes cannot keep pace with detection volume.
What distinguishes Charlotte AI expert agents from conventional automation is their reasoning approach. Rather than reacting to single signals, they will construct evidence-backed judgments by simultaneously evaluating process lineage, identity context, environmental indicators, adversary tradecraft, and exposure paths. As correlation capabilities expand through Enterprise Graph, behavioral detections will be enriched by querying Asset Graph for affected systems and associated identities, Intel Graph for adversary intelligence, Threat Graph for process lineage and behavioral patterns, and Risk Graph and Falcon LogScale for environmental factors.
The result is deterministic reasoning at scale. Each agent executes the same correlation logic, threat intelligence enrichment, and evidence evaluation across every detection, eliminating the analytical variance inherent in manual triage. Analysts can operate with consistent, expert-level reasoning backing every decision, 24/7, while focusing their expertise on high-value judgments that require human context and strategic thinking.
Based on aggregated evidence, detections are classified with risk scores assigned to prioritize appropriate response actions. This comprehensive analysis executes in milliseconds across all detections and environments. Charlotte AI expert agents span the entire operational lifecycle including detection triage, investigation, exposure management, malware analysis, threat hunting, detection engineering, and data operations.
Traditional automation frameworks rely on static, rule-bound workflows that trigger based on predefined conditions. Charlotte AI expert agents introduce AI systems designed to reason, decide, and act. Each is instructed to perform specialized tasks, operating as domain-specific inference engines. Because all telemetry, semantics, and state representations reside within a single unified architectural framework, these agents operate with consistent inputs, predictable behavior, and explainable decision paths.
While Enterprise Graph will provide the Falcon platform with a consolidated data fabric and semantic abstraction layer, Charlotte AI expert agents operationalize this intelligence with native, mission-ready capabilities such as Detection Triage, Guided Investigation, Natural Language Search, Malware Analysis, Promptbooks, and Workflow Automation. These agents operate as distributed reasoning processes correlating integrated telemetry, performing cross-domain analysis, and executing policy-enforced actions across endpoint, identity, and cloud systems.
