Modern organizations are often inundated with torrents of data generated by an array of cybersecurity tools. Therefore, security teams spend countless hours sifting through this information, often without uncovering threats until it's too late. Such a delay in discovering major data breaches, often measured in months, is a direct consequence of this overwhelming data management problem.
To effectively combat cyberattacks, organizations must achieve two objectives - visibility and speed. This requires collecting data from all corners of the digital landscape, including endpoints, networks, identity management systems, SaaS applications, cloud environments and vulnerabilities. By aggregating data from these diverse sources, security teams build a holistic picture of their organization's security posture.
However, visibility alone is insufficient. The ability to quickly analyze and respond to threats is equally crucial. Security teams must be equipped with tools and processes that enable them to quickly identify anomalies, investigate incidents and implement countermeasures. This requires advanced analytics, automation and skilled personnel who can make timely decisions under pressure.
To reduce threat detection and response time, Stellar Cyber recently introduced Multi-Layer AI, which incorporates four distinct technologies - machine learning, graph ML, generative AI and hyper automation into a single platform.
Stellar Cyber is a cybersecurity company specializing in Open XDR platforms. They aim to simplify complex security operations by consolidating data from various security tools, automating threat detection and response and providing a unified view of the entire attack surface.
The new approach with Multi-Layer AI means that AI is now used at multiple steps in the detection, correlation and response process to reduce alert volume, prioritize and correlate threats, counsel analysts and respond automatically.
Here’s how Stellar Cyber uses Multi-Layer AI to speed detection and responses:
Initially, its AI scans vast volumes of data to identify common threats. This transforms raw information into manageable alerts. Subsequently, the platform's AI correlates these alerts to construct interconnected cases that highlight potentially affected assets. Analysts’ workloads are reduced.
To further expedite investigations, Stellar Cyber uses GenAI to provide immediate answers to analyst inquiries. The decision-making process is streamlined. The platform's capabilities are also set to expand with hyper-automation AI, which will automate responses to known attack tactics like phishing.
“Stellar Cyber founder and CTO Aimei Wei recognized at the inception of the company that the essential cybersecurity challenge was having to manually process and interpret terabits of data per day,” said Steve Garrison, Senior Vice President of Marketing at Stellar Cyber. “That’s why we baked AI into our SecOps platform from Day One and why we are continuing to leverage it in all forms as we move forward.”
Multi-Layer AI only extends Stellar Cyber’s long-time AI leadership in the cybersecurity solutions market.
Edited by
Alex Passett
