Cybersecurity Blog

Why ARIA Won 2 Awards for Best Cybersecurity Products?

Written by ARIA Cybersecurity Solutions | Mar 25, 2021 2:53:24 PM

As we’ve previously discussed, traditional threat detection tools and resources can’t reliably identify cyber attacks. This is partly due to how modern cyber-attacks are constantly evolving, making zero-day attacks more frequent and have proven to be the most devastating – SolarWinds and the Microsoft Exchange Server attacks are just two high-profile examples.

Our use of AI and ML in the ARIA ADR solution makes it ideal for finding and stopping all attacks, even zero-day. It leverages behavior-based threat profiles, but it also compares those against all communications, across the entire enterprise. This means that any unusual and suspicious activities can’t hide. The ARIA ADR solution picks them up and identifies and verifies cyber attacks.

The selection committee at the Cyberexcellence Awards factored this in and both solutions received the most votes in their categories. Below are the details on each category and solution.

 

Threat Detection, Intelligence, and Response 
ARIA Advanced Detection and Response (ADR) automatically finds and stops network-borne threats as soon as they cross the network, and most importantly, before harm occurs. The single platform solution provides an AI-driven SOC that provides organizations all the benefits of a traditional security operations center (SOC) at a fraction of the cost. Unlike other solutions, ARIA ADR provides full threat-surface coverage – on-premises, data centers, remote devices, and the cloud – and can be operated anywhere by IT resources with little to no cybersecurity training.

 

Network Traffic Analysis

The ARIA Packet Intelligence (PI) application enables complete visibility into an organization’s network, including typically unmonitored lateral traffic patterns. It watches all communications and generates analytics for every packet. SOCs using security tools such as SIEMs, or the ARIA ADR solution, leverage this enriched data to detect, and then stop, network-borne threats.