Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Some of you may remember the early days of security, when setting up a firewall or antivirus felt like enough. It was simple and gave us a sense of control. But over time, we learned that security is a moving target. What once felt sufficient quickly became just the starting point. In today’s agentic AI era, many treat their Model Context Protocol (MCP) setups the same way. If it’s running and returning results, it feels good enough. But the AI landscape is evolving rapidly.

AWS DocumentDB by default is securely isolated within a VPC, unreachable from the public internet, what could be more secure? This security architecture can create unexpected challenges and complexity. The root cause? The very VPC isolation designed to protect DocumentDB can introduce a complex web of networking requirements, operational considerations, and architectural decisions that require careful management to maintain security.

You’re an IT professional whose teams manage network and security. They face millions of alerts each day, from threat detections to access anomalies and from connection failures to latency spikes. Your costs are high: it’s been hard to scale your team to cope with the growing volume of events. But the stakes are also high. Miss the wrong operational alert and your network team gets swamped with tickets. Miss the wrong security alert and your whole business is exposed.

For many network and security teams, operational efficiency isn’t just desirable—it’s essential. Unfortunately, outdated CLI-based workflows often hinder teams from achieving agility, scalability, and accuracy. Enter Forward Networks’ NQE. This powerful tool enables operators to automate routine checks, streamline data extraction, and access actionable insights across the entire network. It’s not just a time-saver—it’s a transformation.

Imagine financial analysts watching stock prices suddenly drop. Dashboards show misaligned data, market confidence disappears, and trading screens across the NASDAQ turn red. But this time, the disruption isn’t caused by politics or economic shifts. It starts with a cyberattack. We reveal how a simple and overlooked flaw in Streamlit’s file upload feature, part of a widely used open-source framework for building stock market dashboards, could be used to cause this kind of financial chaos.

Having a dependable internet connection is necessary in today's connected world. However, what can one do if he experiences the following: video call freezing, online game lagging, and file transfers stalling? The probable cause is packet loss, which everyone must learn to enjoy uninterrupted, high-performance internet.

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.