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What is Zero Incident Framework?

ZIF revolutionizes IT Operations by transitioning from a reactive stance to a proactive methodology, which streamlines IT processes effectively. It offers a centralized command interface that gathers data from a wide array of monitoring tools and devices, enhanced by more than 100 plugins. This configuration provides actionable insights into events, significantly reducing infrastructure noise by correlating incidents and minimizing false alarms. Moreover, it assists in quickly pinpointing root causes through the use of infrastructure and application heat maps, thereby expediting issue detection. By leveraging predictive analytics, potential disruptions are anticipated before they escalate into major problems, utilizing both supervised and unsupervised machine learning approaches. The system also records incidents within the IT Service Management (ITSM) tool and ensures that the relevant personnel receive notifications via the Virtual Supervisor. Additionally, it automates repetitive and intricate workflows, which further boosts overall efficiency. The advantages include extensive visibility throughout the enterprise, enhanced operational efficiency due to noise reduction, and the capacity to proactively identify risks based on emerging patterns without needing a Configuration Management Database (CMDB). As a result, organizations can achieve a faster Mean-Time-To-Repair (MTTR) while fortifying their IT infrastructure against potential vulnerabilities. This proactive approach ultimately leads to a more resilient IT environment, allowing for greater adaptability in a rapidly changing technological landscape.

What is Scalarr?

Scalarr presents an innovative solution for detecting mobile ad fraud by leveraging state-of-the-art Machine Learning technology. To address the most pressing issues in mobile advertising, Scalarr implements a dual-layered strategy featuring next-generation algorithms that boast an outstanding accuracy rate of up to 97% in recognizing various types of in-app fraud. Users can take advantage of Scalarr’s offerings by delving into its capabilities to monitor, assess, and prevent mobile app install ad fraud through its unsupervised machine learning functionalities before any damage occurs. The platform effectively employs both unsupervised and semi-supervised machine learning methods to autonomously identify and comprehend fraud patterns within extensive datasets. By analyzing numerous clicks, installs, and post-install event variables, Scalarr greatly reduces the occurrence of both false positives and false negatives in its detection framework. With a sophisticated model designed to prioritize accuracy and thoroughness, Scalarr emerges as a powerful tool that delivers actionable insights at the individual conversion level, enabling advertisers to make well-informed decisions about their ad campaigns. This holistic methodology not only fortifies the integrity of mobile advertising efforts but also empowers marketers to optimize their strategies for better performance and outcomes. Ultimately, Scalarr’s commitment to innovation ensures a safer advertising environment for all stakeholders involved.

Media

Media

Integrations Supported

Adjust
Apica
AppsFlyer
Branch
Cherwell Software
Connect
Dynatrace
Kochava
ManageEngine ServiceDesk Plus
Microsoft Azure
Microsoft Outlook
New Relic
OTRS
ServiceNow
Singular
SolarWinds Service Desk
SysAid
Tenjin
Workplace from Meta
mParticle

Integrations Supported

Adjust
Apica
AppsFlyer
Branch
Cherwell Software
Connect
Dynatrace
Kochava
ManageEngine ServiceDesk Plus
Microsoft Azure
Microsoft Outlook
New Relic
OTRS
ServiceNow
Singular
SolarWinds Service Desk
SysAid
Tenjin
Workplace from Meta
mParticle

API Availability

Has API

API Availability

Has API

Pricing Information

$5 per user, per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

GAVS Technologies

Date Founded

1998

Company Location

United States

Company Website

zif.ai

Company Facts

Organization Name

Scalarr

Date Founded

2016

Company Location

United States

Company Website

scalarr.io

Categories and Features

Application Performance Monitoring (APM)

Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Incident Management

Audit Trail
Corrective Actions (CAPA)
Disaster Recovery
IT Incident Management
Incident Reporting
OSHA Compliance
Root-Cause Diagnosis
Safety Management
Task Management
Ticket Management

Categories and Features

Click Fraud

Account Alerts
Activity Monitoring
IP Address Monitoring
IP Blocking
Keyword Tracking
Refund Management
Risk Assessment
Time on Site Tracking

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