Antivirus vs EDR Are You At Risk

Antivirus limitations.

  • Do you still use antivirus software or maybe haven't worried about it since updating the 30-day pre-installed trial that came with your computer? If you're uncertain now more than ever is a good time to check how well you're protected. You may not be aware, but antivirus software only identifies already known potentially dangerous links, but it does not provide protection after you click them. It is only aware of the reported types of ransomware already in its database, known as a signature. Like a fingerprint, they determine how to detect a known threat and work relatively well but do not protect against new threats they do not know about.

  • Attackers can easily manipulate signatures to bypass previously identified threats while orchestrating variants to breach your network security. This makes protecting against ransomware impossible. More worrisome are the very dangerous zero-day threats (threats that exploit an unknown security vulnerability in real-time) that are impossible to detect and protect against.

  • Antivirus signatures may lag days and sometimes longer before new signatures are updated. This allows new daily threats an opportunity to access your data.

Endpoint Detection & Response (EDR) w/Machine Learning (ML)

  • Endpoint Detection and Response (EDR) monitors your network, detecting, containing, and remediating threats as they occur, in real-time. If ransomware does infiltrate even these initial defenses, you want to be able to remediate it as quickly as possible.

  • Prevents lateral movement Once inside, attackers often begin working laterally by attacking additional endpoints creating more opportunities for themselves and creating more harm. As the number of endpoints increases, it becomes necessary to take more advanced steps to protect the devices and the users themselves. Real-time ML along with Endpoint Detection and Response isolates out of character activity already communicating with other endpoints eliminating and isolating threats and preventing lateral movement among endpoints.

Machine Learning the ability to predict.

  • Machine learning trains the computer to detect abnormal behavior. These methods provide a great way to recognize and stop infections from advancing by isolating them before execution.

  • Over time, ML learns how normal programs act while calculating data points by analyzing interactive debugging or after-known-attacks code analysis. During this comprehensive examination, ML identifies and stops infections and malicious activity in real-time.

Contact us today to discuss our EDR and ML solution. We are happy to evaluate your current cybersecurity at no cost to you.

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