A New Cloud enabled AI Engine for Threat Detection is Launched

Cybersecurity company, eSentire announced the launch of esINSIDER, an Artificial Intelligence (AI) enabled Software-as-a-Service (SaaS) application for insider and persistent threat detection.

Founded in 2001, Ontario based eSentire is global Managed Detection and Response (MDR), provider. The company has raised around $86.2M in funding over 5 rounds according to CrunchBase.
The newly launched offering esINSIDER is backed by 400-plus security engineers paired to deliver unparalleled detection and disruption of insider and persistent threats. The solution protects cloud, on-premises and hybrid cloud environments. 

In the era of IoT and smart devices, the number of connected devices is estimated to exceed 26.7 billion worldwide in 2019, according to Statista. This may result in bypassing endpoint controls by insider threats and persistent, sophisticated adversaries.

Executive Opinion

Chief Product Officer, eSentire, Ashley Fidler, said, "Traditional security approaches have long struggled with detecting insider and ongoing threat campaigns as they overemphasize prevention of initial access. They also often process events and alerts as discrete incidents, leaving threats to go unnoticed for long periods of time. By applying our AI engine to surface unavoidable adversary behaviors, we can detect hidden threats that exist in networks and provide our security experts with the information needed to disrupt these sophisticated threats before they impact our customers' businesses."

MDR and esINSIDER offering

Managed Detection and Response (MDR) provides deeper threat detection as compared to traditional managed security services providers (MSSPs). These MSSPs rely on rules and signature and might not be enough in modern security and threat landscape. For faster detection and response, generally, MDR uses artificial intelligence (AI) and machine learning to investigate, automatically contain identified threats, and further orchestrating the response.


According to the announcement, esINSIDER methodology extends eSentire’s MDR capabilities by using AI technology to enhance the detection of lateral movement of threat actors in networks allowing eSentire experts to act as an extension of its customers’ teams to take best possible action to contain the threat.  The offering also provides contextual and narrative user experience by delivering the findings in plain language reports with visualizations tracing the adversary’s activities.