Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Wireless networks have traditionally been a weak point in corporate cybersecurity. However, what was once a localized risk, limited to an office space, has now evolved into a more sophisticated threat, making detection more difficult.

Massive volumes of network traffic flow across your environment every second, and traditional security tools can only catch known malware signatures or endpoint alerts—leaving unseen tactics, encrypted threats, and novel malware undetected. When malware hides in encrypted traffic, uses legitimate protocols, or moves laterally within your network, signature-based tools can miss it entirely.

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.

Cybercriminals have changed tactics. Credential phishing has overtaken ransomware as the most common way to breach enterprise networks. What started as amateur email scams is now an industrial operation with nation-state precision. Phishing campaigns today mimic real user behavior so well that even trained employees fall for fake login pages, social engineering calls, and credential traps. If attackers get credentials, they skip the noise and walk right through the digital front door.