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Cybereason + Arm: Securing The Core of IoT
Securing IoT

The Deep Behavioral Intelligence Engine Difference

Behaviors that look like known malware and malicious tools: processes that behave like known bad processes

Process injections and remote executions: potentially malicious activities like remote execution of code or process injections

User impersonation: log-on sessions and signs of user impersonation, such as “pass the hash” or “pass the ticket”

Unusual files, processes or behaviors: characteristics, processes, and activities identifying unsigned or unvalidated executables

Known bad and unusual network connections: communication with known bad IP addresses, unusually large data transfers, or unusual network traffic patterns

Intelligence Engine

The Deep Behavioral Intelligence Engine does not simply store collected data. It uses preconfigured detection models to hunt for malicious activities and tools, tactics and procedures (TTPs) attackers use while executing their hacking campaigns.

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The Deep Behavioral Intelligence Engine Advantage

  • Protect against unknown threats. Behavioral analysis enables you to detect never-before-seen threats because it focuses on the attackers’ actions, not the tools they are using.
  • Reduce time to remediation. Automated correlation means you don’t have to spend excess time pulling together the full attack story and you can quickly detect and respond to threats.
  • Go beyond automation. Perform behavioral analysis on activities within your environment at a scale far beyond what even the most sophisticated security analysts/team can do.

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