Splunk and Mindflow have partnered to enable users to automate their incident management and better protect their information systems.

Splunk Enterprise Security Overview

Splunk Enterprise Security is an analytics-driven SIEM, and UBA cloud-based tool, managed from a web browser. It collects, analyzes, and correlates high volumes of network and other machine data in real-time. Splunk provides security teams with the relevant and actionable intelligence they need to answer threats more efficiently and preserve a security posture at scale.

Let’s have a look at the services Splunk provides:

Splunk Security Monitoring continuously monitors all network resources and activity to detect anomalous behavior before it poses a serious threat to the organization. Using the information Splunk provides, security teams can get a detailed, data-driven view of the network’s performance, health, and vulnerabilities at any time. Malicious or high-risk activity detected by Splunk automatically alerts the appropriate parties with complete contextual information detailing the threat.

• Automated event alerts
• Automated event log collection for all devices, applications, and user activity
• Data-rich, graphical user dashboards
• Pre-defined and customizable correlation parameters
• Gather critical data to maintain audit preparedness

Advanced Threat Detection offers intelligent monitoring of your infrastructure, applications, users, and other network resources across environments. It allows you to catch and contextualize active threats or abnormal behavior in real-time. Splunk cross-correlates event logs to decipher indicators of compromise or malicious relationships so security teams can immediately engage with potential threats before any significant damage can be caused to the network.

• End-to-end network visibility and analytics
• Intelligent threat classification
• Event log correlation across devices and environments
• Kill chain methodology to identify advanced threats
• User behavior analytics (UBA) to detect behavioral and/or statistical anomalies

User Behavior Analytics (UBA) leverages machine learning algorithms. Splunk baselines network behavior and correlates user behavior across data sources and environments to catch advanced security threats. Deviations from baselined activity automatically alert the designated security teams so they can quickly mitigate the threats and/or conduct multi-step forensic investigations as necessary.

• Automated early breach detection
• Automated continuous threat monitoring
• Detect compromised accounts, insider threats, lateral movement, etc.
• Event log correlation across multiple data sources
• User risk scoring

Incident Response allows security teams to quickly respond with a higher degree of confidence than with legacy SIEM. Splunk’s Adaptive Response Framework contextualizes event data across environments and automates response workflows so analysts can easily confirm, prioritize, and engage the threats with the relevant information they need.

• Event alerts with threat prioritization
• Automatically pull relevant threat information across devices and environments
• Response workflow automation
• Data-rich dashboards and graphical displays

Incident Forensics allows your teams to monitor and log data sets of security information gleaned from different network sources. Security teams can use this data to conduct forensic investigations into the origins of a breach or validate emerging threats to gain deeper Insight into the performance of their security efforts.

• Alert triage to identify high-priority incidents automatically
• Data searchable across devices, users, applications, time frames, etc.
• Customizable visualizations and reports
• Ability to map out event and activity sequences

Benefits

• Reduce Time to Detect by ingesting machine data from multi-cloud and on-premises deployments to detect malicious threats quickly
• Streamline Investigations to investigate and correlate activities across multi-cloud and on-premises in one unified view to identify a potential security incident quickly
• Intelligent Insight by automatically collecting, storing, and correlating network and user activity to provide security teams with relevant and actionable security data to enhance security operations
• Granular Insight into the performances and activity of the network across devices, applications, users, geolocations, and more