Introduction
What is R2?
R2 is a powerful reverse engineering framework for analyzing binaries. It provides a set of tools to disassemble, decompile, and debug code, making it easier to understand software at a low level. Professionals use R2 to explore and modify executable files, often for security research and vulnerability assessment.
What is CogniVis AI?
CogniVis AI is a platform that enables you to pull data from different
sources and combine them with each other to
create practically useful AI tools. Sources may include
your internal company knowledgebase and a variety of
most popular business apps like GitHub, Jira, Slack,
and more.
This enables you to easily create
AI chatbot assistants (internal),
custom generators and even
embeddable AI chat widgets trained on your data.
How CogniVis AI works with R2?
The R2 Storage Connector integrates with your R2 Storage account to retrieve and manage object storage, allowing efficient data access, retrieval, and organization across cloud environments.
What exact sources are pulled:
- Objects
- Object name
- Object size
- Object type (e.g., images, videos, documents)
- Last modification date
- Creation date
- Object URL
- Buckets
- Bucket name
- Bucket creation date
- Bucket size (total storage used)
- Number of objects in the bucket
- Bucket owner
- Permissions
- User access level (e.g., read, write, delete)
- Sharing settings (public/private links)
Configuration
Generate a API Keys
To connect CogniVis AI with R2, you need to generate an Access Key ID and Secret Access Key in R2. These keys will be used to authenticate the connection between CogniVis AI and R2.
Sign In
Sign into your Cloudflare dashboard .
Generate keys
In the sidenav, select R2 Object Storage, then go to Manage R2 API Tokens.
Click the Create API Tokens button.
Name the token (e.g., CogniVis Connector), select the Object Read Only permission, and then press the Create API Token button.
You’ll be shown your Access Key ID and Secret Access Key on the following screen. Remember to save them immediately, as the Secret Access Key cannot be retrieved later.
You can find your Account ID by visiting the Overview page in your Cloudflare dashboard. Look at the URL, where the Account ID is the last portion.
Add the connector to CogniVis
Navigate to CogniVis Connectors
In CogniVis, go to Admin Panel, then in the sidebar choose Add connector. You will find the R2 connector setup page there.
Open R2 connector setup pageEnter your credentials
Provide your R2 Access Key ID, Secret Access Key and Account ID.
Define access
After entering your Bucket name and deciding if you want to make it public, click the CONNECT button.
Free trial
If you are interested in creating your own automations and workflows with artificial intelligence based on your data, you can request a free trial of our solution. Please book a demo with us to get started.
book a demoOn-premise
Enterprise organizations can choose to deploy this connector on-premise. On-premise deployment provides additional security and privacy, it means that the connector will be hosted on your own servers which you can control and manage.
This option is suitable for organizations that have strict data privacy and security requirements, want to integrate with their existing infrastructure, or need to comply with specific local regulations.
Contact our team & learn about options of deploying this connector on premise.
book a demo learn more about on-premise aiUse cases
Check out potential benefits and use cases for this connector.
Efficient Data Management
AI can automate the organization and categorization of objects based on their names, types, and modification dates. This reduces manual effort and ensures a structured and easily navigable storage system, improving data retrieval and management efficiency.
Advanced Security Monitoring
By analyzing access levels and sharing settings, AI can identify potential security vulnerabilities or breaches. It can notify administrators of suspicious activity, ensuring data integrity and safeguarding sensitive information from unauthorized access.
Storage Optimization
AI can assess bucket sizes, object counts, and usage patterns to recommend storage optimization strategies. This helps in managing costs and improving storage efficiency by identifying unused or redundant files that can be archived or deleted.
Automated Backup Solutions
AI can utilize object and bucket metadata to create automated backup schedules. This ensures that critical data is consistently backed up, minimizing the risk of data loss and providing a reliable disaster recovery strategy.
Intelligent Search and Retrieval
AI can enhance search capabilities by indexing objects based on metadata, enabling quick and accurate retrieval of files. This feature is beneficial for users who need to locate specific documents or media across a vast storage space.
Data Lifecycle Management
AI can automate the lifecycle management of data by setting rules based on creation and modification dates. This ensures that data is retained only as long as necessary, complying with data retention policies and reducing clutter.
Predictive Analytics
By analyzing trends in object creation, modification, and access, AI can provide insights into future storage needs. This helps in planning and allocating resources effectively, ensuring scalable and sustainable storage solutions.
User Access Analytics
AI can monitor user access patterns and provide insights into how data is being utilized across the organization. This helps in understanding user behavior, optimizing access levels, and enhancing user experience.
Enhanced Collaboration
AI can facilitate collaboration by managing sharing settings and permissions, ensuring that the right people have the right access to data. This promotes efficient teamwork and information sharing while maintaining security.
Compliance and Reporting
AI can generate compliance reports by analyzing user access levels and object metadata. This aids in ensuring adherence to organizational policies and regulatory requirements, providing documentation for audits and reviews.