Threat Detection & Analytics

MULTI-LAYERED DETECTIONS

Corelight delivers a comprehensive suite of network security analytics that help organizations identify more than 100 adversarial TTPs across the MITRE ATT&CK® spectrum. Corelight collects and analyzes contextual data and applies a multi-layered detection strategy that combines AI and machine learning, behavioral analytics, curated signatures, along with threat intelligence to deliver prioritized aggregated alerts based on risk.

AI for threat detection

Only Corelight data—which is rooted in open-source—is compatible with all LLM models out-of-the-box.

Leveraging the industry’s most comprehensive evidence, Corelight’s AI/ML-powered, multi-layered threat detection engine employs a variety of supervised and unsupervised machine learning models to uncover advanced, evasive, and novel threats. Our threat detection capabilities can be customized to suit your organization’s environment, and our ML models are never trained using customer data.

CORELIGHT'S AI POWERED SOC

Move from alert to action—faster

EDR EVASION AND ENCRYPTED TRAFFIC COVERAGE

Detect post-exploitation behavior and threats that evade endpoint controls—such as credential access, DNS tunneling, or anomalous SMB usage. See and detect across east-west traffic, unmanaged devices, and encrypted sessions, where EDR often has blind spots.

HIGH-FIDELITY, LOW NOISE ALERTS

Targeted detections for high-value threat behaviors like lateral movement, C2 communication, encrypted traffic misuse, and exfiltration that are precise and context-aware - dramatically reducing false positives.

FASTER TRIAGE, QUICKER RESPONSE

Corelight enriches detections with AI-driven automations - providing evidence-backed summaries, guided triage, and analyst-ready workflows to accelerate investigations. See the "why" behind every threat, so you can validate and investigate faster.

The Corelight difference

Backed by forensic-grade network telemetry, enabling complete visibility into attacker behavior
Targeted detections for high-value threat behaviors like lateral movement, C2 communication, encrypted traffic misuse, and exfiltration
Built on open frameworks so you can create or extend detection logic
Supported by curated community-contributed behavioral detections used by the world’s leading SOC teams

SEE THE DIFFERENCE

Top 5 reasons why modern SOCs need multi-layered detections

Faced with increasing attacks, a complex threat landscape, a larger attack surface, and pressure to optimize resources, modern SOCs need multi-layered detections as part of their network security.

Read the top 5 reasons why a multi-layered detection is needed in your framework.