Even well-resourced security teams struggle to keep pace with enterprise threats when monitoring their environments without the use of security artificial intelligence (AI).
Nvidia and enterprise consulting company Booz Allen announced that they are collaborating to develop the Morpheus platform, a GPU-accelerated AI cybersecurity processing framework.
So far, Booz Allen has used Morpheus to create Cyber Precog, a GPU-accelerated software platform for building AI models at the network's edge, which offers data ingestion capabilities at 300x the rate of CPUs, and increases AI training by 32x and AI inference by 24x.
The new approach will enable public and private sector organizations to address some of the cybersecurity concerns related to closing the cyberskills gap with AI optimized for using GPUs, allowing for much more processing than if it were relying on CPUs.
With digital fingerprinting, you may be able to detect threats.
Without the help of automation, identifying malicious activity in a network of devices is extremely difficult.
According to study, 51 percent of IT security and SOC decision-makers feel their organization is overwhelmed by the volume of alerts, with 51 percent admitting that they aren't entirely confident in their ability to prioritize and respond to them.
Security AI has the potential to reduce the workload of SOC analysts by automatically recognizing anomalous — or high-risk — activity and blocking it.
The Morpheus software framework allows designers to monitor network traffic in real time and discover anomalies using digital fingerprinting.
"You can get to a very detailed model for every user or every machine in the organization," says Justin Boitano, Nvidia's vice president.
"That should be an event that alerts our security teams when you take a user like myself who uses Office 365 and Outlook every day."
It's a strategy that allows the solution to analyze network traffic for sensitive information, detect phishing emails, and alert security teams with AI processing powered by massive BERT models that couldn't run on CPUs alone.
UEBA, XDR, and EDR are among the companies that have entered the security AI cluster category.
Morpheus is in competition with a wide range of security AI solutions, from user and entity behavior analytics (UEBA) solutions to extended detection and response (XDR) and endpoint detection and response (EDR) solutions designed to detect potential threats.
CrowdStrike Falcon Enterprise, a game that is competing against Nvidia in the realm of threat detection, is a company that combines next-gen antivirus (NGAV), endpoint detection and response, threat hunting, and threat intelligence as part of a single solution to continuously and automatically detect threats in enterprise environments.
CrowdStrike announced that it would generate $431 million in revenue for the 2022 fiscal year.
IBM QRadar is an XDR solution that uses artificial intelligence to detect security threats with automatic root cause analysis and MITRE ATT&CK mapping, while also providing analysts with support in the form of automated triaging and contextual intelligence.
The Morpheus framework, which announced its second quarter earnings of $6.7 billion, is in a unique position to assist organizations in supercharge threat detection.