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Description
Arambh Labs introduces a new era of security operations by leveraging agentic AI to detect, investigate, and remediate threats in real time. Its swarm of security-specialized agents — including Byte the first responder, Rook the strategist, Echo the threat hunter, and Talon the intelligence gatherer — work collaboratively like a digital defense team. The platform unifies visibility across all layers of IT infrastructure, from cloud and endpoints to networks, identity systems, and data environments, delivering context-rich insights that extend far beyond traditional logging tools. Intelligent prioritization reduces noise by analyzing risks in context, allowing security teams to focus on the 1% of alerts that matter most. With autonomous remediation, Arambh Labs executes response playbooks instantly, aligning actions with predefined policies for rapid containment and recovery. This automation has helped customers cut their MTTR by over 85% while strengthening proactive defense postures. Designed for scale, Arambh Labs integrates seamlessly with over 100 security solutions and supports both SaaS and on-prem deployments. By combining deep security expertise with cutting-edge agentic AI, the platform empowers enterprises to stay ahead of evolving threats and operate with confidence.
Description
Root is a cutting-edge supply platform designed to provide autonomous remediation of vulnerabilities within container images and application dependencies, allowing organizations to mitigate security threats seamlessly without interrupting their ongoing workflows. In contrast to conventional security solutions that merely identify or rank vulnerabilities, Root takes a proactive approach by automatically resolving issues in their original locations, ensuring that CVEs are consistently patched across the versions being utilized by teams. This platform seamlessly integrates into existing development pipelines and infrastructure, enabling businesses to safeguard their software stack without the need to rebuild containers, enforce upgrades, or shift registries. With its automated remediation capabilities, Root effectively identifies the images and libraries currently in use, implements precise fixes, and produces secured artifacts that are ready for deployment, all while ensuring compatibility throughout the process. Additionally, the Root Image Catalog offers continuously remediated container images, and the Root Library Catalog efficiently patches open-source dependencies, making it a comprehensive solution for modern security challenges. This innovative approach not only enhances security but also promotes operational efficiency, allowing teams to focus on development rather than security concerns.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
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
Arambh Labs
Founded
2024
Country
United States
Website
arambhlabs.com
Vendor Details
Company Name
Root
Founded
2024
Country
United States
Website
www.root.io
Product Features
Product Features
Container Security
Access Roles / Permissions
Application Performance Tracking
Centralized Policy Management
Container Stack Scanning
Image Vulnerability Detection
Reporting
Testing
View Container Metadata
Vulnerability Management
Asset Discovery
Asset Tagging
Network Scanning
Patch Management
Policy Management
Prioritization
Risk Management
Vulnerability Assessment
Web Scanning