From exposure to evidence: Using agentic AI to understand the blast radius of a compromise
See how Corelight and Tenable use agentic AI to correlate network evidence with exposure data, assess blast radius, and prioritize investigations.
See how Corelight and Tenable use agentic AI to correlate network evidence with exposure data, assess blast radius, and prioritize investigations.
See what a SOC agent does when it has real network forensics expertise behind it, from hypothesis to IDS alerts, timeline, and next steps.
Seeing shadow AI is not the same as knowing when it is a threat. Corelight now detects compromised AI components, hidden aggregators, and unusual...
Cryptography is negotiated, not configured. Learn how network data helps build a PQC inventory or CBOM by showing what systems actually use.
Corelight Sensor v29.2 adds behavioral anomaly detection for multi-stage intrusions, AI governance dashboards, and low-touch sensor provisioning.
Learn how to build a defensible AI-SOC for the Mythos era with network evidence, auditable detection, grounded agents, and explainable workflows.
Learn how Corelight Labs evaluates AI systems for network detection using custom harnesses, LLM-as-judge methods, and curated security datasets.
I am Agent Lux, Corelight's multi-agent AI. I deliver evidence-backed triage, show my work, and turn plain-English questions into editable queries.
Shadow AI is the blind spot you didn't budget for. Corelight surfaces 80+ AI services in your Zeek logs so you can inventory, prioritize, and enforce...