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Description
AppProfileSafe is a robust Windows solution designed for enterprises, facilitating the backup and restoration of application-specific Registry data, files, and NTFS ACLs. In contrast to USMT, which has been deprecated since Windows 11 24H2, this tool functions on an application-by-application basis utilizing XML-based App Definitions, ensuring that only the necessary components for each application are backed up. Among its features is a dry run simulation capability that generates differential reports, outlining all Registry keys, files, and ACLs that will be modified prior to execution. Additionally, it includes a tamper-evident HMAC hash-chained audit trail that maintains a record of every operation with verification of integrity. The path mapping engine is adept at rewriting Registry and file paths to accommodate variations in usernames or drive letters between the source and destination locations. Users can access the Community Edition for free indefinitely, which includes a full graphical interface, unrestricted application backups, simulation, mapping, and audit logging, all without the need for registration or time constraints. For those requiring more advanced features, the Enterprise version introduces command-line interface automation, integration with Security Information and Event Management (SIEM) systems (supporting formats like CEF, LEEF, JSON, and Syslog), compliance reporting, and a redaction engine. Built on the .NET 8 framework, AppProfileSafe is compatible with Windows 10/11 and Server versions from 2016 to 2025, making it a versatile choice for organizations.
Description
KitOps serves as a robust system for packaging, versioning, and sharing AI/ML projects, leveraging open standards to seamlessly integrate with existing AI/ML, development, and DevOps tools, while also being compatible with your enterprise container registry. It has become the go-to choice for platform engineering teams in the AI/ML domain seeking a secure method for packaging and managing their assets.
With KitOps, you can create a comprehensive ModelKit for your AI/ML projects, encapsulating all elements necessary for local reproduction or production deployment. Additionally, the ability to selectively unpack a ModelKit allows team members to optimize their workflow by only accessing the components pertinent to their specific tasks, thereby conserving both time and storage resources. Given that ModelKits are immutable, can be signed, and reside within your established container registry, they provide organizations with an efficient means of tracking, controlling, and auditing their projects, ensuring a streamlined workflow. This innovative approach not only enhances collaborative efforts but also fosters consistency and reliability across AI/ML initiatives.
API Access
Has API
API Access
Has API
Screenshots View All
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Screenshots View All
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Integrations
No details available.
Integrations
No details available.
Pricing Details
€8/month/user
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
IT-Consulting Kinner
Founded
2014
Country
Germany
Website
www.appprofilesafe.com
Vendor Details
Company Name
KitOps
Founded
2024
Country
Canada
Website
kitops.ml
Product Features
Product Features
DevOps
Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization