For many enterprises, the biggest risks to their data and intellectual property come from trusted insiders such as employees, partners, and contractors. Unfortunately, the risks posed by insider threats can be some of the most challenging to address. Organizations must be able to address the risks from malicious insiders who intentionally steal sensitive data for personal reasons as well as users who can accidentally expose information due to negligence or simple mistakes.
Luckily, there are a variety of tools and strategies that organizations can use to rein in their insider risk and prevent threats, and we have summarized some of the top players below:
Insider Threat Software Products Overview
Cyberhaven delivered the first data-aware insider threat prevention solution. Prevention is key because many insider threat products only detect incidents and funnel them to a SOC team, usually delivering so many false positives that the real threats go uninvestigated. Cyberhaven combines intelligence about the data (e.g. is it a recorded all-hands meeting or a video of cat on a skateboard) with user behavior to more accurately detect real threats. With unmatched detection accuracy, you can confidently enable real-time user coaching messages and even blocking to stop insider risks before they turn into insider threats.
Aware is a security startup that provides a variety of data security capabilities specifically focused on collaborative messaging applications such as Slack and Microsoft Teams. Aware offers a variety of services targeted to these services, including user monitoring, data governance, data loss prevention (DLP), and more.
Exabeam is a mature security vendor that offers a variety of solutions based on its security information and event management (SIEM) and (extended detection and response) XDR products. Exabeam leverages a powerful analytics platform that can analyze logs within its own SIEM or data ingested from external sources via integrations. This can include data from network-based solutions, Active Directory, DLP endpoints, and more. Exabeam seeks to analyze the collected data for anomalies and more specific signs of threats. This information is designed to then help security operations teams streamline their detection, investigation, and response efforts.
Gurucul consists of a broad security analytics platform that combines SIEM, UEBA, and XDR components. Insider threat is a key area of focus for Gurucul, and the solution has the ability to baseline user behavior as well as that of peer groups in order to identify anomalous or suspicious behavior. The solution also can analyze a user’s social media and website visits as a way to infer user sentiment that could contribute to their risk.
- IBM QRadar
IBM’s QRadar product line is one of the industry’s longstanding SIEM and data analytics platforms. Defined today as an XDR platform, the QRadar suite includes several key components, including the QRadar SIEM, QRadar NDR, and QRadar SOAR. The SIEM and NDR components allow QRadar to perform analysis of logs and network traffic patterns to identify anomalies that could be indicative of an insider threat, while the SOAR component integrates with other enterprise tools to help collect additional information or trigger responses related to a suspicious event.
LogRhythm is another well-established provider of data analytics solutions aimed at improving the detection and response of enterprise security operations centers. LogRhythm offers SIEM, NDR, and UEBA products as part of their suite. LogRhythm leverages its UEBA product to identify signs of insider threats. This approach uses machine learning to baseline the normal behavior of an organization’s users and then identify deviations or anomalies in behavior that could indicate a potential threat.
Securonix is a security analytics and operations management platform. Like many analytics platforms, Securonix brings together SIEM, UEBA, and SOAR. While the company focuses on the detection and response of advanced threats, the solution can also apply to insider threats. The platform uses data analytics to find anomalous or suspicious user behavior, which can then be investigated by analysts or trigger an orchestrated response via its SOAR capabilities.