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An Immune System for the Cloud
As organizations increasingly rely on the cloud to streamline operations and enable innovation, the challenge of securing critical data has taken on a new dimension. The cloud in all its various forms is often unfamiliar territory for traditional security teams, and cyber-criminals know this better than anyone.
Darktrace’s Cyber AI defends the cloud by learning the unique ‘pattern of life’ of every user, container, and VM from scratch, and correlating it with the rest of the business. This real-time knowledge of ‘self’ enables Darktrace to detect and respond to subtle threats or misconfigurations in the cloud that other tools miss.
Security professionals in this industry are tasked with fending off a number of threat vectors, including targeted and convincing phishing emails, cloud-based attacks, and ransomware, which has rebounded with new severity in recent years. Sophisticated strains such as Maze and Ryuk are constantly being tweaked, and attackers are increasingly adopting ‘double extortion’ tactics to gain maximum leverage. The devastating repercussions of these attacks have been felt by some of the largest financial organizations around the globe, with threat actors exfiltrating and releasing millions of customers’ data in a single attack.
Rapid digital transformation and supply chains present additional risks. 2020 marked a watershed moment for many as threat actors used a vulnerability in SolarWinds’ software to compromise thousands of organizations, including banks and other financial institutions. The attack had gone unnoticed for several months, and to many this served as a wake up call that an approach based on manual rules and lists of signatures is no longer enough to combat the modern threat landscape.
Native Cloud Security in AWS, Azure & GCP
For organizations with infrastructure in AWS, Azure, and GCP, Darktrace offers native support via AWS VPC Traffic Mirroring, the Azure vTAP, and GCP Packet Mirroring. These systems provide Darktrace with granular, real-time access to cloud traffic without the need for capture agents.
Darktrace AI detects :
O Insider data theft O Compromised credentials
O Social engineering O Critical misconfigurations
O Supply chain attacks O Lateral movement
Unified & Bespoke Protection
Increasingly, threat actors are not limiting their attacks to one technology at a time, and it is essential that organizations unify their defenses across the entire digital business. Something as simple as a compromised password can result in an attack against multiple facilities at once. Being able to see this in real time is critical, as it no longer makes sense to handle security on a per-technology basis.
By learning the unique ‘DNA’ of your entire organization, Darktrace’s self-learning approach is singularly equipped to detect and respond to novel attacks and insider threats in the cloud. The breadcrumbs of an attack may appear benign if considered in isolation, but the bespoke, enterprise-wide context that Darktrace provides can illuminate the presence of even the most subtle attacks
Compromised Credentials in Microsoft 365
In one international organization, Darktrace caught a compromise in a Microsoft 365 account that bypassed Azure Active Directory’s native controls. While the organization had offices in every corner of the globe, Darktrace’s AI identified a login from an IP address that was historically unusual for that user and her peer group and immediately alerted the security team.
Darktrace then alerted to the fact that a new email processing rule, which deletes incoming emails, had been set up on the account. This indicated a clear sign of compromise and the security team was able to lock the account before the attacker could do damage.
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