Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Security teams don't need more alerts. They need the ability to detect what others miss. That's why we're excited to announce the general availability of CrowdStrike Signal, a new class of AI-powered detection that surfaces the stealthy threats others often overlook — before they escalate. CrowdStrike Signal represents a fundamental shift in how organizations detect and respond to modern threats.

Corelight has been an innovator and leader in AI and Large Language Model (LLM) adoption for almost 2 years. We introduced our first use of LLMs in our Open NDR platform Investigator in November of 2023. Since then, we have continued to push the boundaries of the possible by working with AI model builders on cybersecurity-specific training and expanding LLM use within Investigator to include data analysis and summaries.

Corelight’s GenAI Accelerator Pack features the industry's first Model Context Protocol (MCP) server, specifically designed to facilitate easier access to detailed network data and alerts for cybersecurity AI agents and enhance the analysis of network security information. The announcement comes at a pivotal moment for cybersecurity.

As a security executive, how do you know if your organization can detect a certain attack? A talented, experienced team armed with advanced tooling can certainly generate confidence — but even then, detections can slip through the cracks if not properly codified.

In today's complex network environments, ensuring complete visibility while optimizing resource utilization is paramount. Duplicate network traffic can overwhelm your monitoring infrastructure, create redundant alerts for SecOps, consume valuable storage, and obscure critical insights, making it harder for Network Detection and Response (NDR) solutions to spot genuine threats or anomalies. Network Packet Brokers often offer deduplication as a feature but it can add complexity and cost.

Security fatigue gets attention for a reason. Phishing emails, authentication prompts, and constant vigilance all take a toll. But alert fatigue is the deeper, more destructive force. It overwhelms analysts, delays response, and creates blind spots that adversaries exploit. Security teams today are buried under noisy alerts and fragmented tooling. False positives waste time. Manual triage eats up valuable analyst hours. Eventually, burnout sets in and threats slip by. It is not a hypothetical risk.

Threat detection and response is the dynamic, ongoing process of monitoring, detecting, investigating, responding to, and remediating cyber threats.