Trellix ATLAS vs. ATLAS Intelligence Feed (AIF)

Customers obtain a unique insight into the various malicious files, domains, and IP addresses detected globally. The Advanced Threat Landscape Analysis System (ATLAS) aggregates information from numerous Trellix sources to provide the latest worldwide threats, enriched with data regarding industry sectors and geographic locations. By linking these threats with campaign information and integrating findings from Trellix’s Advanced Research Center (ARC) and Threat Intelligence Group (TIG), alongside publicly available resources, ATLAS delivers a concentrated view of campaigns that includes elements such as events, timelines, threat actors, and indicators of compromise (IOCs). This innovative system equips users with an exceptional global perspective on malicious threats identified by Trellix, offering geospatial situational awareness. It effectively leverages telemetry data collected from various regions to underline both present and future threats, emphasizing those that stand out based on diverse criteria like type, industry sector, and geographic area. Additionally, this thorough methodology guarantees that clients stay updated on the dynamic threat landscape, thereby enhancing their ability to safeguard against potential cyber threats. As a result, users can make more informed decisions regarding their cybersecurity strategies.

By leveraging ATLAS, ASERT, and the ATLAS Intelligence Feed, Arbor delivers unparalleled insights into the fundamental networks that form the backbone of the Internet, extending to local enterprise systems. Service providers can utilize ATLAS intelligence to make proactive, informed decisions regarding network security, service innovations, market evaluations, capacity planning, application trends, transit and peering agreements, as well as potential partnerships with content providers. Furthermore, enterprise security teams benefit from the broad global threat intelligence that ATLAS data offers, enabling them to stay ahead of advanced threats while significantly minimizing the time required for manual updates of attack detection signatures. This unique intelligence feed includes not just geo-location data, but also automates the identification of attacks aimed at infrastructure and services from well-known botnets and malware. Additionally, it ensures that updates for new threats are delivered smoothly without necessitating software upgrades, thus allowing organizations to sustain effective security measures with ease. In conclusion, Arbor’s all-encompassing strategy empowers both service providers and enterprises to fortify their security stance while navigating the continuously changing environment of network threats, ultimately fostering a safer digital ecosystem.