Secureworks® Hands-on-Keyboard Detector Identifies Malicious Threat Actors

Rhea-AI Summary

Secureworks (NASDAQ: SCWX) has introduced its Hands-on-Keyboard Detector, a patent-pending feature on the Taegis™ platform designed to identify cybercriminals interacting directly with compromised systems. This innovative technology utilizes machine learning and leverages 3.3 trillion events from a 16 petabyte data lake to enhance threat detection capabilities. It aims to catch malicious activities that traditional detection methods, reliant on predefined rules, might miss. The detector is already operational and benefiting existing customers.

Positive

• Introduction of Hands-on-Keyboard Detector enhances detection capabilities.
• Utilizes machine learning trained on 3.3 trillion events, improving threat identification.
• Already providing protection to existing customers against undetected attacks.

Negative

• None.

Patent-pending Taegis™ platform detector uncovers "hands-on" cybercriminal activity even as the actors attempt to evade detection

ATLANTA, March 14, 2022 /PRNewswire/ -- Secureworks^® (NASDAQ: SCWX), a global leader in cybersecurity, today announced the addition of its Hands-on-Keyboard Detector to the Secureworks Taegis platform which helps prevent, detect, and respond to advanced threats with automation, machine learning, and comprehensive threat intelligence by detecting "live" keyboard inputs from malicious  actors rather than scripts. All Secureworks Taegis XDR and Taegis ManagedXDR customers are now protected by this innovative, patent-pending detection capability.

Secureworks' Hands-on-Keyboard Detector detects malicious threat actors who are directly interacting with compromised systems. By using machine learning to aggregate evidence from endpoint telemetry over time, this detector creates high confidence alerts for rapid remediation of malicious activities that would likely go unnoticed with a traditional signature-based detection platform.

"We began developing the Hands-on-Keyboard Detector while researching BRONZE SPIRAL operators of the SUPERNOVA web shell during the SolarWinds Orion compromise of 2020," said Nash Borges, Vice President of Engineering at Secureworks. "Our Detector identifies malicious activity when threat actors are 'living off the land' using system administration tools that may go unnoticed by other endpoint technologies. This adds a new layer of protection to the Secureworks Taegis platform that further enhances its automated threat-detection capabilities and better protects the enterprise. This detector has already protected several customers in the wild who otherwise may not have known that attackers were beginning to exploit their systems. It's using the best combination of Taegis security analytics and human intelligence to find important needles in immense haystacks."

The Hands-on-Keyboard Detector's machine learning technology was trained on 3.3 trillion events from our growing 16 petabyte data lake, creating a detector that scores threat activities by modeling behavioral techniques instead of conventional pre-defined rules. Without the volume and variety of data collected within Taegis, detections like this could not be created.

The Secureworks Hands-on-Keyboard Detector is included in the Taegis platform and is available for Taegis XDR, Taegis ManagedXDR, and Taegis ManagedXDR Elite.

About Secureworks
Secureworks (NASDAQ: SCWX) is a global cybersecurity leader that protects customer progress with Secureworks^® Taegis™, a cloud-native security analytics platform built on 20+ years of real-world threat intelligence and research, improving customers' ability to detect advanced threats, streamline and collaborate on investigations, and automate the right actions.

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SOURCE Secureworks, Inc.

FAQ

What is the Hands-on-Keyboard Detector from Secureworks?

The Hands-on-Keyboard Detector is a new feature in the Taegis platform that identifies cybercriminals by detecting live keyboard inputs on compromised systems.

How does Secureworks' Hands-on-Keyboard Detector enhance security?

It uses machine learning trained on vast data to create high-confidence alerts and detect threats that traditional methods might miss.

When was the Hands-on-Keyboard Detector announced?

The Hands-on-Keyboard Detector was announced on March 14, 2022.

What data was used to train the Hands-on-Keyboard Detector?

The detector was trained on 3.3 trillion events from Secureworks' 16 petabyte data lake.

Is the Hands-on-Keyboard Detector available for all users of Taegis?

Yes, it is included in the Taegis platform and available for Taegis XDR, ManagedXDR, and ManagedXDR Elite customers.