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Re: FlipFlopopotamus post# 65580

Saturday, 01/01/2022 11:48:39 AM

Saturday, January 01, 2022 11:48:39 AM

Post# of 65835
Visium's TruContext platform includes the following features:

TruContext ingests ANY data in its raw and native format, including PCAP, Netflow, Nessus, Splunk data, Crowdstrike, etc., making it easier for users to see machine data and find new insights - Users can now leverage TruContext to understand cyber threat data in real-time, enabling decisions to be made with confidence.

TruContext provides understanding of context, enabling the user to quickly determine system level dependencies and impacts of cyber vulnerabilities and exploits. Now a client can see and understand how a compromise on a single asset can specifically impact other connected assets and domains throughout a system.

TruContext uses the MITRE Att&ck framework as an overlay to ingested data for mapping and pinpointing vulnerabilities, exploits, and mitigations.

TruContext is able to geolocate attack vectors based on Internet Protocol (IP) prefixes.
TruContext accelerates root cause determination - analysts can focus on analysis and the mission of securing the enterprise because TruContext frees up human capital from the days, weeks, or more which is typically spent on manipulating and preparing data for analysis. No more spending most of an analyst's time trying to make sense of raw data and joining the dots between the thousands of daily logs and alerts, many of which are false positives, before even getting to the task of solving problems.

TruContext delivers a composite source of valuable data made available through Visium Analytics' data overlays and enrichments - by which, organizations can now also overlay new sources of valuable correlated machine data through dashboard level integration within the Splunk Enterprise Application ecosystem. This capability complements Splunk by delivering real-time context across large data sets in Splunk Enterprise.

TruContext accelerates Machine Learning (ML)- Visium's platform adds velocity to the ML process by delivering already connected data-sets to ML models, enabling the ability to predict attacks before they occur.

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