Company strengthens cloud detection and response to prevent unexpected cloud costs
LAS VEGAS–(BUSINESS WIRE)–BLACK HAT (Booth #1760) — Sysdig, the unified container and cloud security leader, today announced machine learning-powered cloud detection and response (CDR) to combat cryptojacking. The company’s threat engine and detection algorithms block cryptojacking in the cloud with 99% precision.
Cryptojacking is the unauthorized use of someone else’s compute resources to mine cryptocurrency. According to the Google Cloud Threat Horizons Report, 86% of compromised Google Cloud instances were used for cryptocurrency mining. Cryptojackers use low-and-slow attack techniques to mask what they are doing so those impacted do not realize until they receive their cloud bill. The longer cryptojacking goes undetected, the greater the financial impact. While the average increase in a monthly bill varies by report, it is not uncommon for cryptojackers to run up a $100,000 – $500,000 bill in a single month. Time is of the essence.
While the cloud and on-premises security challenges seem similar, the attack patterns and detection techniques are fundamentally different and require different approaches. Traditional tools lack the visibility into container environments and breadth of coverage needed to identify threats and anomalies at runtime. A multi-layered approach that includes curated rules and machine learning is better suited to address the complex threats in cloud environments. To detect threats like cryptojacking, teams need machine learning algorithms that are trained and tuned to recognize cryptocurrency mining patterns immediately to avoid unexpected cloud fees, which can have a significant financial impact.
Read “Cryptominer detection: a machine learning approach” to learn how Sysdig trained its machine learning detection model.
Sysdig Machine Learning-Powered Cloud Detection and Response
“Machine learning is not a silver bullet for detecting threats. Many vendors throw around ‘ML’ quite loosely for solutions that are not true machine learning,” said Omer Azaria, Vice President of Engineering at Sysdig. “Cryptojacking is a specific use case where machine learning provides effective detection. Sysdig developed an ML algorithm that is specifically tuned to detect cryptojacking before your cloud bill skyrockets.”
Availability
Sysdig Secure customers have access to the machine learning-powered threat detection now and for new customers, it is included in Sysdig Secure at no additional cost.
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About Sysdig
Sysdig is driving the standard for cloud and container security. The company pioneered cloud-native runtime threat detection and response by creating Falco and Sysdig as open source standards and key building blocks of the Sysdig platform. With the platform, teams can find and prioritize software vulnerabilities, detect and respond to threats, and manage cloud configurations, permissions, and compliance. From containers and Kubernetes to cloud services, teams get a single view of risk from source to run, with no blind spots, no guesswork, no black boxes. The largest and most innovative companies around the world rely on Sysdig.
Media Contact
Amanda McKinney Smith
amanda.smith@Sysdig.com
703-473-4051
Sysdig announced machine learning-based cloud detection and response (CDR) that blocks cryptojacking with 99% precision.
Media Contact
Amanda McKinney Smith
amanda.smith@Sysdig.com
703-473-4051