End Point Security (EDR & XDR)

Endpoint Detection and Response (EDR), also referred to as endpoint detection and threat response (EDTR), is an endpoint security solution that continuously monitors end-user devices to detect and respond to cyber threats like ransomware and malware.

Coined by Gartner’s Anton Chuvakin, EDR is defined as a solution that “records and stores endpoint-system-level behaviors, uses various data analytics techniques to detect suspicious system behavior, provides contextual information, blocks malicious activity, and provides remediation suggestions to restore affected systems.”

XDR security platform provides security teams with full context and scope of relationship an adversary is having across an entire infrastructure. It fuses events a from existing and other telemetry sources into relationship graphs, and continuously monitors billions of these relationships to detect suspicious behavior.

Once detected, Kognos uses an AI-powered inquiry engine to ask thousands of forensic questions per second mining these relationships to autonomously track malicious users or external actors throughout the network and present the findings as visual stories, allowing the analyst to respond in real-time.

The platform is easily accessible and plugs into existing infrastructure with the below functionalities.

 

  • Autonomous Alert Investigations : Eliminate Alert Fatigue
  • Autonomous Threat Hunting : No more Data Mining
  • Identify Attackers in Action : Trace the Attackers Path

 

Most security products have done well at detecting suspicious activities in the past by correlating events and behaviours over time. However, over the years the attackers have evolved, their attacks have become sophisticated, and their activities are harder to detect. The event-centric approach no longer works as the attackers use legitimate operating system tools to evade these simple heuristics to stay under the radar. Instead, we need a solution that looks at the attacker’s behavior holistically and over longer periods of time, across all data sources including EDR, NDR and SIEMs.

Endpoint Detection and Response (EDR), also referred to as endpoint detec
tion and threat response (EDTR), is an endpoint security solution that continuously monitors end-user devices to detect and respond to cyber threats like ransomware and malware.

Coined by Gartner’s Anton Chuvakin, EDR is defined as a solution that “records and stores endpoint-system-level behaviors, uses various data analytics techniques to detect suspicious system behavior, provides contextual information, blocks malicious activity, and provides remediation suggestions to restore affected systems.”

XDR security platform provides security teams with full context and scope of relationship an adversary is having across an entire infrastructure. It fuses events a from existing and other telemetry sources into relationship graphs, and continuously monitors billions of these relationships to detect suspicious behavior.

Once detected, Kognos uses an AI-powered inquiry engine to ask thousands of forensic questions per second mining these relationships to autonomously track malicious users or external actors throughout the network and present the findings as visual stories, allowing the analyst to respond in real-time. The platform is easily accessible and plugs into existing infrastructure with the below functionalities.

  • Autonomous Alert Investigations : Eliminate Alert Fatigue
  • Autonomous Threat Hunting : No more Data Mining
  • Identify Attackers in Action : Trace the Attackers Path

Most security products have done well at detecting suspicious activities in the past by correlating events and behaviours over time. However, over the years the attackers have evolved, their attacks have become sophisticated, and their activities are harder to detect. The event-centric approach no longer works as the attackers use legitimate operating system tools to evade these simple heuristics to stay under the radar. Instead, we need a solution that looks at the attacker’s behavior holistically and over longer periods of time, across all data sources including EDR, NDR and SIEMs.