Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Our recent webinar showed how our MCP server enables AI to apply the same technical analysis that expert threat hunters use by providing structured API access to security data and tools. In the demo, Claude identified WinINet.dll loaded in a suspicious process - a discovery that Eric Capuano, founder of Digital Defense Institute, called "a pretty smart move." This moment highlighted how AI can move beyond basic data collection to understand investigative context and connect technical findings to broader threat hypotheses.

Strengthen your organization's security with the KnowBe4 human risk management platform! KnowBe4 helps you manage and reduce cyber risk by focusing on the human layer of security. Traditional security measures often overlook the fact that people are the biggest variable in your defense. KnowBe4's comprehensive platform goes beyond simple training, providing a full suite of tools to build a strong security culture and transform your employees from a potential vulnerability into your strongest line of defense.

Security teams are drowning in a sea of noise. The good news? The solution isn't to work harder, but to work smarter. Breach Risk's threat monitoring capabilities use source-aware Transforms to automatically fan out and detect exposures across the open, deep, and dark web, including platforms notoriously difficult to monitor, such as GitHub and Telegram, and ransomware blogs, forums, and illicit marketplaces.

Brivo Visitor Management, powered by Envoy, empowers customers to improve security standards while keeping employees, guests, and visitors safe. In this video, we'll show you how to configure Brivo Visitor Management. Explore the future of security and smart technology with Brivo. Our content delves into innovative solutions that empower businesses and individuals to create safer, more connected environments.

In this video, we walk through the steps to enable Corelight's Anomaly Detection engine on a Corelight Sensor, and show what a sensor looks like after the baselining (learning) period has completed.