NopalCyber’s Managed Extended Detection and Response (MXDR) platform is a state-of-the-art full-stack cybersecurity platform designed to achieve simplified deployment and accelerated ROI.
Because it is cloud-native your organization is freed from having to invest in – or manage –security infrastructure to supplement or benefit from NopalCyber cybersecurity services. From threat assessment and hunting, to monitoring, detection, and remediation, our platform and services are deployed from NopalCyber Security Operations Centers (SOCs).
The NopalCyber cloud-native platform is natively integrated with:
MXDR
Managed Extended Detection & Response
SIEM
Security Information and Event Management
UEBA
User Entity and Behavior Analytics
NTA
Network Traffic Analysis
EDR
Endpoint Detection and Response
BAS
Breach Attack Simulation
SOAR
Security Orchestration, Automation, and Response
Threat Intelligence
NopalCyber Beacon
Our platform is managed by expert investigation and response teams who perform proactive threat hunting, threat detection, and incident response. This cloud-native platform enables NopalCyber’s NextGen 24/7/365 ready-to-go MXDR white-glove service and delivers industry-leading mean time to respond and remediate threats (MTTR).
How it works
In order to effectively monitor our clients’ environment and infrastructure, the NopalCyber platform gathers data from logs, signals, and metrics, from across all threat vectors: desktops, laptops, and mobile devices; servers and network devices; security platforms, applications, and cloud. The data is ingested and goes through multiple processes to generate actionable insights:
- Filtering: Logs generated by systems and devices are filtered to remove irrelevant data.
- Normalization: Event logs which have differing fields of information and data formats are normalized for processing and analysis
- Enrichment: The Log messages are then enriched with various data sources – such as user directories, system inventories, and threat intelligence data – to develop useful security indicators.
- Correlation: Logs and their enriched data are grouped and sequenced to extract insights across their varied sources to understand user behaviors.
- Machine Learning Enhancements: ML observes activity to develop models of normal behavior which enables automated detection of unusual behavior that may indicate a threat
These processes are used to create the data analytics that inform our activities, feed into the portal dashboard for monitoring and reporting, and ultimately trigger the alerts to NopalCyber security engineers monitoring client environments for security threats.
Importantly, the information you see – whether logging on through the portal or utilizing our mobile app Beacon – is the same information our analysts see. You can login anytime (and with Beacon, anywhere) to review your security status, what we are working on, and the progress being made.
The NopalCyber Ecosystem
NopalCyber Managed Detection and Response Platform
