Real Time Network Analysis and Pattern Detection
Time doesn’t slow down for collection and analysis. EmcienScout Conversations keeps you up to speed with real-time analysis of text documents and streaming social data to provide Summary Overviews, Key Conversations, Topical Breakdowns, and Key Influencers.
Patterns are language and data-agnostic. So is EmcienScout.
EmcienScout finds patterns in all kinds of data.
Load your data or pull from forums and social media via API and get results regardless of language or data type. Even patterns in slang and coded language are detected.
Explore data over a broad geographic area or down to a city block
Use the EmcienScout dashboard to target a specific neighborhood or broaden your results to include a large geographic area. The interactive dashboard allows users to target only the information they need in real time.
Receive alerts and record posts as patterns change through time
EmcienScout gives users the ability to see patterns changing through time. Your team can use EmcienScout to display changes in sentiment or peaks in recurrence to understand how these trends fluctuate or alert users to shifting activities.
Ranked list of alerts and threats
EmcienScout analyzes high volumes of streaming machine data, connecting data together to identify the common elements and their patterns, revealing outliers and anomalies. Analysts are shown a list of pressing items ranked in order of importance.
Patterns of unusual activity detected through time
While other solutions require predetermined rules, suspicious signatures, or curated blacklists to identify potential malware, EmcienScout identifies suspicious activity by how elements connect within streaming data. Monitoring every transaction through time allows EmcienScout to determine if events, actions, and actors are unusual, highlighting them for user review.[/column]
Automatically reveal unknown and surprising activity
Other machine data analysis tools reveal threats and failures by querying streaming data and scanning for known signatures, but miss previously unseen malfunctions and novel attacks. EmcienScout connects data elements together and monitors their activity over time to identify clusters of unusual activity that would be missed by other solutions.
Integrate any number of data elements
The engine that powers EmcienScout is data agnostic. It has no understanding of the individual elements, only the patterns of how those elements connect and change over time. This allows EmcienScout to incorporate additional elements in its analysis, including geo-location, weather, time, or other relevant metrics.
No rules, no models, no queries
EmcienScout doesn’t require preconfigured rules, signatures, data models, or even user queries. It analyzes the patterns in raw, unstructured streaming data to reveal the threats that other solutions miss. EmcienScout can then present the ranked results for human review or APIs can direct the alerts to another downstream system.
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