Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Provably better data

Every security vendor says their data is better. Corelight decided to test that claim directly. Using real nation-state attack scenarios, including Salt Typhoon-related activity, the same AI model was evaluated against multiple security data sources to measure investigation accuracy, threat visibility, and incident response coverage. The only variable was the data.

Bridging the gap: How Corelight and Crowdstrike Charlotte AI are redefining SOC investigations

For years, SOC analysts have lived in a world of swivel-chair analysis. When an alert fires in an endpoint tool, the next step is almost always a manual pivot to a network console to see if the network reality matches the host behavior. This manual back-and-forth isn't just tiring; it’s a window of opportunity for attackers. Corelight is excited to highlight a new integration with CrowdStrike Charlotte AI.

5 Mindset Shifts for Security Teams with Gal Yosef

In this episode, Gal Yosef, Head of Product Management at AlgoSec, explores the five critical mindset shifts security teams must make to successfully secure today’s hybrid and multi-cloud environments. As organizations expand across AWS, Azure, GCP, and on-premises infrastructure, traditional security approaches often create silos, visibility gaps, and operational complexity.

Corelight Brings Network Data to Cisco Cloud Control | Corelight

Corelight, a leader in fueling the AI SOC, today announced that it is providing industry-leading data to power AI investigations of emerging threats through an integration of Corelight Open NDR into Cloud Control Studio. Cloud Control Studio is the design space within Cisco Cloud Control, Cisco’s unified platform for agentic IT operations, where customers can build AI agents and connect them to non-Cisco tools.