Corelight, a leading network detection and response (NDR) provider, is rolling out category-first agentic AI capabilities designed to dramatically improve security operations center (SOC) efficiency. The launch includes Agentic Triage, a new suite of machine learning models to detect encrypted threats, and integrations across AI-enabled security ecosystems that allow immediate containment of compromised accounts.

“By pairing Corelight’s high-fidelity network telemetry with an expert-governed AI agent, security teams receive evidence they can trust, verify, and act on,” said Vijit Nair, Corelight VP of Product. “Corelight uniquely transforms overwhelming alert queues into verified, defensible investigations, drastically reducing time-to-triage and equipping analysts with definitive answers.”

Accelerating SOC Workflow with Agentic Intelligence

Modern SOCs face relentless pressure as adversaries leverage generative AI to automate attacks, while most triage processes remain manual and repetitive. Corelight’s Agentic Triage automates investigation of the highest-risk entities, consolidating signals into entity-centric investigations and providing single, evidence-backed triage verdicts.

Unlike black-box AI solutions, Corelight exposes every playbook step, query, and piece of evidence used to reach a conclusion. This transparency is critical for enterprises requiring AI to be accountable, reviewable, and defensible during audits and incident response.

“Only Corelight delivers true agentic AI triage in NDR, applying expert playbooks to industry-leading network evidence with AI reasoning,” Nair added.

Connecting and Empowering the AI-Enabled Ecosystem

Once alerts are triaged, SOCs need to act quickly. Corelight now ingests real-time identity data to correlate “who” is involved with “what” is happening on the network. Integrations with Microsoft Azure AD/Entra and CrowdStrike allow one-click actions such as universal logouts or password resets without switching tools. Analysts can also quarantine endpoints or trigger firewall blocks directly from the Corelight platform.

Additionally, Corelight’s new integration with CrowdStrike Charlotte AI enables cross-agent collaboration. Charlotte AI can automatically pull Corelight ground-truth data, validating host behavior against network reality, accelerating evidence-backed response.

“The question for CISOs isn’t whether to adopt AI, but how quickly and comprehensively,” said Andrew Braunberg, principal analyst at Omdia. “Explainability isn’t optional—it’s a requirement, particularly in regulated environments.”

Detecting Multi-Stage Intrusions with Advanced ML

Corelight is also expanding its machine learning and behavioral detections to uncover evasive post-exploitation tactics without decryption. New models detect anomalies in tunneling and VPN usage, credential theft attempts, and unauthorized lateral movement.

By analyzing behavioral metadata and traffic patterns, Corelight can expose covert C2 channels, lateral movement, and brute-force attacks across Kerberos, RDP, SMB, and SSH. This empowers SOCs with high-fidelity visibility even in encrypted or otherwise opaque environments.

With these updates, Corelight positions itself at the forefront of agentic AI in NDR, combining automation, explainability, and advanced detection to help security teams respond faster and more confidently to evolving threats.

Get in touch with our MarTech Experts.