RESTON, VA – March 9, 2020 – MantisNet, a network detection and response software company that simplifies the process to access and extract actionable intelligence in real-time and at wire-speeds, today announced the MantisNet Network Stream Processor^SM App for Splunk to help customers apply data science processes, algorithms and systems to extract knowledge and insights from network using metadata from MantisNet network sensors, structured as serialized key-value pairs to more accurately and efficiently feed Splunk® to power analysis, AI/ML models and automated or orchestrated responses.

The Network Stream Processor App for Splunk helps users of Splunk gain deep insights into network traffic communications that are critical to continuous network security monitoring and threat hunting. The Network Stream Processor App for Splunk extracts far more, detailed, intelligence from the vast array of nested or optional fields for various protocols, beyond the least common denominator approach of merely interrogating common CIM parameters. Structured as metadata for high performance, efficient consumption into Splunk can help identify anomalous or malicious activities in a format that is streaming-native and able to feed automated or orchestrated responses.

Download the community version of the MantisNet Network Stream Processor App for Splunk on Splunkbase that includes a trial offer of our Programmable Packet Engine (PPE) network sensor and discover the power of data-in-motion and MantisNet metadata. The app comes pre-configured with visualizations and reports for DNS traffic metadata produced by MantisNet’s PPE network sensor. Premium version customers can access additional capabilities and ingest virtually any known network protocol, as well as the ability to detect and dynamically process any new or previously unknown type of network traffic.

Organizations on the forefront of adopting streaming analytics, event-based architectures, orchestration and (AI / ML enabled) automation will derive the greatest benefits due to MantisNet’s advanced forms of ultra-reliable, ultra-efficient, ultra-accurate, high resolution, real-time streaming metadata making network traffic more observable and actionable. We think this is an important step towards better identifying anomalies, combatting threats and managing the exponentially increasing volumes of data that flow through network and security tools that formally required require manual or offline storage and forensic, asynchronous analysis.

“Providing access to continuously streaming network metadata, in real-time, provides critical intelligence feeds into the analytic workflows, and orchestration systems that are crucial to helping to manage the problems of growth and data-decisioning,” said Peter Dougherty, CEO of Mantis Networks. “What got us to where we are today in network management and security will not get us to where we need to go for tomorrow’s network and cybersecurity challenges and the launch of our Network Stream Processor App for Splunk can help organizations turn the corner to better harness critical data-in-motion.”

Download the community version of the MantisNet Network Stream Processor App for Splunk on Splunkbase that includes a trial offer of our PPE network sensor

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