Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Selector’s software-as-a-service leverages machine learning and natural language processing to deliver self-service analytics that facilitate immediate access to actionable insights, significantly decreasing mean time to resolution (MTTR) by as much as 90%. This innovative Selector Analytics platform harnesses artificial intelligence and machine learning to perform three critical functions, equipping network, cloud, and application operators with valuable insights. It gathers a wide array of data—including configurations, alerts, metrics, events, and logs—from diverse and disparate data sources. For instance, Selector Analytics can extract data from router logs, device performance metrics, or configurations of devices within the network. Upon gathering this information, the system normalizes, filters, clusters, and correlates the data using predefined workflows to generate actionable insights. Subsequently, Selector Analytics employs machine learning-driven data analytics to evaluate metrics and events, enabling automated detection of anomalies. In doing so, it ensures that operators can swiftly identify and address issues, enhancing overall operational efficiency. This comprehensive approach not only streamlines data processing but also empowers organizations to make informed decisions based on real-time analytics.
Description
Zimperium’s zDefend enables mobile apps to detect and protect themselves proactively against runtime threats and attacks. With this runtime protection capability, mobile apps can assess device risk posture in real-time and dynamically prevent access or disable high-risk functionality to minimize fraud and theft attempts on end-user devices proactively. The security policy and associated mitigations reside in-app allowing the actions can be taken even in the absence of any network connectivity, making the protections extremely difficult to circumvent.
The ability to detect threats and attacks on-device across the install base provides Security Operations (SOC) teams with real-time threat telemetry. Detailed threat forensics help isolate and automate downstream mitigation activities across other enterprise. In-app security policies are set and managed centrally via the console but are communicated in real-time to the entire install base without needing to publish a new version. This practical and scalable approach allows Enterprises to react promptly to new threats and vulnerabilities discovered. Zimperium’s unique approach to runtime defense also protects against advanced
on-device compromise and exploitation techniques.
API Access
Has API
API Access
Has API
Integrations
Amazon CloudWatch
Apache Kafka
Dynatrace
Elastic Cloud
GitHub
GitLab
Google Cloud Platform
Grafana Cloud
Humio
Microsoft Azure
Integrations
Amazon CloudWatch
Apache Kafka
Dynatrace
Elastic Cloud
GitHub
GitLab
Google Cloud Platform
Grafana Cloud
Humio
Microsoft Azure
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Selector
Country
United States
Website
www.selector.ai/product/
Vendor Details
Company Name
ZIMPERIUM
Founded
2010
Country
United States
Website
www.zimperium.com/zdefend/
Product Features
Network Monitoring
Bandwidth Monitoring
Baseline Manager
Diagnostic Tools
IP Address Monitoring
Internet Usage Monitoring
Real Time Analytics
Resource Management
SLA Monitoring
Server Monitoring
Uptime Monitoring
Web Traffic Reporting