Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Identify patterns in operational data that can forecast deterioration and potential failures long before they occur. By employing accurate failure pattern recognition, you can reduce the frequent occurrence of false positives typically associated with traditional model-based approaches. Utilizing low-touch machine learning, you can swiftly distinguish between normal and abnormal behaviors, ensuring equipment protection starts within weeks rather than extending into months. The integration of Aspen Mtell with Aspen Cloud Connect™ provides connectivity to devices that support OPC UA. This method of recognizing operational patterns not only serves as an initial defense against asset decline but also enhances existing maintenance strategies through the deployment of AI-driven agents across various sites or throughout the entire organization. By focusing on precise failure pattern recognition, the challenge of high false positive rates in model-based solutions is effectively mitigated. Moreover, the rapid identification of operational behaviors facilitates timely equipment protection, ensuring that organizations can respond proactively to potential issues as they arise.
Description
Rather than focusing solely on individual assets or the entire network, these security solutions continuously analyze network traffic to establish a baseline of typical patterns. Once this baseline is set, Network Traffic Analysis (NTA) tools can identify unusual traffic as potential security threats. While various methodologies exist, effective NTA tools must incorporate some level of anomaly analysis to differentiate between benign irregularities and genuine risks. In the realm of network traffic supervision, Network Insight monitors device interactions in real time, consistently gathering and linking evidence through various detection mechanisms to declare an item as "suspected" or "infected." Furthermore, the Case Analyzer, which functions as a context-sensitive network traffic analysis and threat intelligence system, validates any infections, while a series of risk profilers evaluate and rank the infection according to its assessed risk level. This comprehensive approach not only strengthens security measures but also enhances the overall understanding of network behavior dynamics.
API Access
Has API
No
API Access
Has API
No
Integrations
SAP Store
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Aspen Technology
Founded
1981
Country
United States
Website
www.aspentech.com/en/products/apm/aspen-mtell
Vendor Details
Company Name
Core Security (Fortra)
Founded
1996
Country
United States
Website
www.coresecurity.com/products/network-insight
Product Features
Preventive Maintenance
Condition Monitoring
No
Inspection Management
No
Maintenance Scheduling
No
Mobile Access
No
Predictive Maintenance
No
Purchasing
No
Reminders
No
To-Do List
No
Vendor Management
No
Work Order Management
No
Product Features
Network Traffic Analysis (NTA)
Anomalous Behavior Detection
No
High Bandwidth Usage Monitoring
No
Historical Behavior Data
No
Identify High Network Traffic Sources
No
Network Transaction Visibility
No
Stream Data to IDR or Data Lake
No
Traffic Decryption
No