CData Connect AI Features

Supports for managing different types of databases and integration methods.

Gives admistrators control over data-related privilages and accessability

Allows users to secure access to data. Provides additional support for security practices like IP whitelisting, attack mitigation, and data encryption.

Access work applications remotely, for when working away from the office and/or traveling

Track revisions and updates made to files and navigate between different versions

Remotely monitor and manage client networks, endpoints, systems, and devices via locally installed applications

Monitor service demand and performance to plan for adequate resources that meet business needs

Identify component attributes like servers, hardware, software, and manage relationships across all services

Create, save, and store files

Track and manage adherence to policies for any service, product, process, or supplier

Set and monitor service level agreements to ensure timely response and resolution

Prevent naming collisions across files, folders and systems

Define levels of authorization for access to specific files or systems

Creates integrations and allows management of connected contains.

Allows administrators to organize components of the database to maintain instance efficiency.

Allows admisistrators to manage and organize storage, networks, and datacenters.

Application Programming Interface Specification for how the application communicates with other software. APIs typically enable integration of data, logic, objects, etc. with other software applications.

Create new VMs on physical host servers and allocate resources

Application programming interface that allows for integration with other systems/databases

Set up connections to third-party platforms to improve business processes

Processes data and represents interpretations in a variety of graphic formats.

Functions when integrated with multiple forms of external applications.

Tools to (re)structure data in a manner that allows extracting insights quickly and accurately.

Generates reports to demonstrate AI compliance with local and international frameworks.

Helps AI systems to comply with the regulations.

Maintains detailed logs of activities and changes to AI models.

Evaluates legal, operational and ethical risks posed by AI systems.

Monitors AI models for anomalies continuously.

Automates retraining, version updates and decomissioning when the models are outdated.

Restricts access to AI models and sensitive data to authorized users.

Helps sharing AI models and best practices.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Enforces strict request and token quotas per user, tenant, or application to prevent system overloads and manage API budget limits.

Caches responses for identical or semantically similar prompts to significantly reduce API latency and eliminate redundant token costs.

Routes API requests to various LLM providers via a single unified API and automatically fails over to backup models if downtime occurs.

Intercepts traffic to detect and mask Personally Identifiable Information (PII) or block malicious prompt injections before the request reaches the external model.

Provides granular dashboards to monitor token consumption and calculate exact monetary costs broken down by application, team, or specific model.

Securely vaults and manages external LLM API keys within the gateway so developers do not need to hardcode credentials into their applications.

Active reporting of data and metrics

Active monitoring of systems, applications, or networks

Extra layer of security that requires not only a password and username but also something specific to that user

Encrypts all information within a virtual machine including data, files, OS and software programs.

Create backups and provide methods to recover deleted/lost data

Move files across different systems or networks

Continuously scan servers on a designated network to monitor health and search for any irregularities or failures

Securely stores data to prevent data loss or breaches

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Move from one database to another, or upgrade the version of database software being used

Track and manage virtual machines (VMs) running on physical host machines

Process of distributing a set of tasks over a set of resources, with the aim of making their overall processing more efficient

Deploy updates or install new software remotely

Moving and separately storing data that is not actively used or continuous storage of data for compliance purposes

Interact with data visualization elements, such as charts and graphs, to drill down into data

Create images of a virtual machine at a specific point in time as a state to revert to if needed

Set & manage permission levels based on user roles and restrict access to only authorized individuals

Compliant with HIPAA, which sets standards for sensitive patient data protection

Monitoring and measurement of relevant metrics to assess the performance of IT resources

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Platform to achieve application and desktop virtualization

A chronological record of actions or occurrences within a network, software, or process

Allow users to access multiple services after entering their login credentials once

Use AI to generate content in the form of text, images, videos, etc.

Plan and implement business continuity measures in case of unforeseen events

System alerts about the need to escalate an issue or request

Data is backed up automatically to prevent data loss

View and track pertinent metrics to find patterns and gain insights from data

Provide specialized, emerging, or cross-functional capabilities that enhance processes, workflows, or decision-making

Have features and use cases that do not fit into existing AI software categories

Address unique or niche requirements not covered by mainstream software solutions

Software program that continuously adjusts its behavior based on observed data

Tools that provide relevant information at specific times to support judgments and courses of action

Provides a channel for team members to share AI models, media files, communicate, and work together

Define levels of authorization for access to specific files or systems

Create, manage and track all task activities and progression

Active monitoring of systems, applications, or networks

Process and analyze human language in text or audio form

Automatically map and compare AI governance policies with actual development and deployment practices

Identify and prioritize AI risks using advanced algorithms, prevent critical vulnerabilities, and mitigate risks when required

Measure AI systems' ethical alignment to ensure compliance, fairness, transparency, and security

A record of all activities within the system, including user access, changes made, etc.

Embed/link applications into third party software so it can be accessed within a third party system

Manage and track all stages of a product lifecycle, from its conception, design, development, and deployment

Anticipates needs and offers suggestions without prompting