Corelight’s Agentic Triage Turns SOC Alerts Into Evidence-Backed Investigations

Why It Matters

By automating high‑volume triage while providing full explainability, Corelight boosts analyst productivity and satisfies regulatory demands, strengthening defenses against AI‑augmented threats.

Key Takeaways

• Agentic Triage cuts triage time up to tenfold
• AI agent reveals every playbook step for auditability
• New ML models detect encrypted tunneling and VPN anomalies
• One‑click containment via Azure AD and CrowdStrike integrations
• Transparent AI meets compliance in regulated environments

Pulse Analysis

Security operations centers face mounting pressure as threat actors weaponize generative AI to accelerate attacks, yet most triage processes remain manual and noisy. Corelight’s Agentic Triage tackles this gap by pairing high‑fidelity network telemetry with a governance‑layered GenAI agent. The system automatically aggregates alerts around high‑risk entities, runs expert‑crafted investigative playbooks, and produces a single, evidence‑backed verdict that analysts can inspect. This "show‑your‑work" approach not only slashes investigation time but also satisfies audit requirements in regulated industries, where explainable AI is becoming a compliance prerequisite.

Beyond workflow automation, Corelight expands its detection arsenal with statistical machine‑learning models that scrutinize the shape and metadata of encrypted traffic. By interpreting behavioral patterns rather than payload content, the models uncover covert command‑and‑control channels, anomalous tunneling, and unauthorized VPN usage—capabilities traditionally hidden behind encryption. The suite also flags credential‑theft techniques such as DCSync and NTDS.dit dumps, and correlates low‑and‑slow brute‑force attempts across Kerberos, RDP, SMB, and SSH. This breadth of coverage provides SOCs with high‑fidelity visibility into post‑exploitation activity without decrypting traffic, reducing blind spots that attackers routinely exploit.

Integration is a cornerstone of Corelight’s strategy. Real‑time identity enrichment links network events to Azure AD/Entra and CrowdStrike identities, enabling one‑click actions like universal logout, password resets, endpoint quarantine, and firewall blocks directly from the investigation view. The new CrowdStrike Charlotte AI collaboration pulls Corelight’s ground‑truth data into Fusion workflows, creating a feedback loop that strengthens detection across the security stack. Together, these capabilities position Corelight as a pivotal enabler for AI‑first SOCs, accelerating response times while maintaining the transparency regulators demand, and setting a benchmark for future network‑centric AI solutions.