Faddom Features
Automation (4)
Metadata Management
Indexes metadata descriptions for easier searching and enhanced insights
Artificial Intelligence & Machine Learning
Facilitates Artificial Intelligence (AI) or Machine Learning (ML) to enable data ingestion, performance suggestions, and traffic analysis.
Response Automation
Reduces time spent remedying issues manually. Resolves common network security incidents quickly.
Continuous Analysis
Constantly monitors traffic and activity. Detects anomalies in functionality, user accessibility, traffic flows, and tampering.
Functionality (8)
Multi-Network Capability
Provides monitoring capabilities for multiple networks at once.
Anomaly Detection
Constantly monitors activity related to user behavior and compares activity to benchmarked patterns.
Network Visibility
Provides all-encompassing display and analysis of environments, resources, traffic, and activity across networks.
Scalability
Provides features to allow scaling for large organizations.
Data Migration
Migrate data from on-premises or cloud solutions to a separate cloud environment or solution.
Data Variety
Be compatible with a variety of data types for migration.
Alerts and Logging
Send alerts for migration failures, and log migration processes to show possible root causes for failures.
Data Replication
Copy and store the same data in multiple locations.
Incident Management (3)
Incident Logs
Information on each incident is stored in databases for user reference and analytics.
Incident Alerts
Gives alerts when incidents arise. Some responses may be automated, but users will still be informed.
Incident Reporting
Produces reports detailing trends and vulnerabilities related to their network and infrastructure.
Management (8)
Backup and Recovery
Offer backup and/or recovery options for data being migrated to the cloud.
Integration Variety
Integrates with a variety of sources and/or migration targets.
Access and Security
Maintain user access and security features associated with pre-migrated data in the post-migration environment.
Real time Monitoring
Real-time view and status of every component in the cloud environment.
Central Dashboard
Provide immediate insights, information, and updates on IT assets from a central dashboard.
Asset Policy Management
Design and implement custom or pre-built policies for asset management, onboarding, and maintenance.
Risk Management
Implement risk management policies, and push policy updates to various assets across a business network.
Integrations
Integrate with other software solutions, such as spend management and software asset management.
Asset Inventory (5)
Hardware Asset Inventory
Create an inventory of a company's hardware assets.
Software Asset Inventory
Create an inventory of a company's software assets.
Cloud Asset Inventory
Create an inventory of a company's cloud assets.
Mobile Asset Inventory
Create an inventory of a company's mobile assets.
Asset Discovery
Detect new assets as they enter a network and add them to asset inventory.
Security (1)
Data Protection
Transform or encode data before being moved to the cloud.
Assessment (3)
IT Infrastructure
Assess the existing physical and virtual servers and compile it
Cost Benefit
Evaluate cost savings with TCO analysis
Applications
Allows mapping with on-premises applications and identify dependencies
Performance Management (3)
Workflow Automation
Automates all the key operations of a datacenter infrastructure.
Change Management
Captures changes in hardware configurations, software installation, or virtual machines.
Real Time Reporting
Tracks power, cooling, CPU usage, servers etc in real time and trigger alarms
Monitoring (3)
Server Performance
Monitors CPU usage, disk activity and memory usage
Energy Consumption
Tracks and monitor building meters, UPSs , floor and rack PDU’s and environment sensor to notify unusual events
Space Planning
Tracks and manage rack, equipment, tray space to better utilize the capacity
Administration (3)
Policy Enforcement
Allows administrators to set policies for security and governance.
Dependency Mapping
Facilitates the discovery, allocation, and mapping of application dependencies across servers, networks, and cloud environments.
Network Mapping
Allows visual display of networks segmented components and their connected resources.
Enforcement (5)
Identity-Based Policy Management
Accelerates policy change workflows using identity attributes to manage microsegmentation policies.
Workflow Automation
Completely automates end-to-end policy enforcement workflows across hybrid- and multi-cloud environments.
Network Segmentation
Allows administrative control over network components, mapping, and segmentation.
Intelligent Segmentation
Automates segmentation and provides AI-based improvement suggestions.
Workload Protection
Protects computing resources across a network. Prompts additional authentication for suspicious users.
Visibility (3)
Breach Detection
Provides incident alerts for leaks or breaches and provides capabilities to inform administrators of attacks.
Observability
Generate insights across IT systems utilizing event metrics, logging, traces, and metadata.
Application Discovery
Detect new assets and applications as they enter a cloud environments and networks to add to asset inventory.
Generative AI (2)
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Generation
Allows users to generate text based on a text prompt.
Agentic AI - Cloud Migration (3)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - IT Asset Management (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Enterprise Architecture Tools (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives



