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SOCRadar Extended Threat IntelligenceSOCRadar Extended Threat Intelligence is an all-encompassing platform built to proactively identify and evaluate cyber threats, offering actionable insights that are contextually relevant. As organizations strive for improved visibility into their publicly available assets and the vulnerabilities linked to them, relying only on External Attack Surface Management (EASM) solutions proves insufficient for effectively managing cyber risks; these technologies should be integrated within a broader enterprise vulnerability management strategy. Businesses are increasingly focused on safeguarding their digital assets from every conceivable risk factor. The traditional emphasis on monitoring social media and the dark web is no longer adequate, as threat actors continually adapt and innovate their attack strategies. Thus, comprehensive monitoring across various environments, including cloud storage and the dark web, is vital for empowering security teams to respond effectively. Furthermore, a robust approach to Digital Risk Protection necessitates the inclusion of services such as site takedown and automated remediation processes. By adopting this multifaceted approach, organizations can significantly enhance their resilience in the face of an ever-evolving cyber threat landscape, ensuring they can respond proactively to emerging risks. This continuous adaptation is crucial for maintaining a strong security posture in today's digital environment.
What is Noodle.ai?
Noodle Enterprise AI® effectively tackles risks in your digital supply chain, enabling you to eliminate hidden waste and increase profitability. Even the most advanced supply chain systems can struggle with unexpected disruptions, and this is exactly where Noodle.ai provides valuable support. Our software proactively identifies financial risks tied to upcoming executions and offers strategic recommendations aimed at boosting profits through waste reduction. By leveraging sophisticated AI engines, we uncover complex patterns in your data, predict possible outcomes, and quantify the Value-at-Risk (VAR) associated with your near-term execution of the base plan. This insight grants planners and operators a thorough understanding of their financial exposure. Organizations can significantly reduce previously overlooked financial risks by applying prioritized AI-driven suggestions. Furthermore, the VAR dashboard visualizes the overall financial implications of all decisions made, giving executives a clear view of the waste that has been successfully mitigated. This all-encompassing strategy not only optimizes operations but also empowers decision-makers to make more informed and strategic choices, ultimately leading to sustained organizational growth. In an ever-changing market landscape, having this level of clarity and control is essential for long-term success.
What is BoxLens?
The BoxLens platform provides an all-encompassing solution that merges hardware, software, analytics, and actionable insights, granting users full visibility into vital supply chain metrics. By utilizing a combination of artificial intelligence and established business rules, it offers various recommendations for users to consider. The system updates subsequent actions automatically based on user engagement, adapting responsively to the constantly changing supply chain environment. Every decision made is thoroughly documented for further analysis and to enhance algorithmic performance. A concise dashboard presents crucial key performance indicators (KPIs) that pertain to the supply chain. In addition, real-time telemetry data is integrated with the client's ERP system for a holistic view. The platform includes alerts to inform users of any anomalies or unwelcome events, with notifications transmitted through various channels such as dashboards, SMS, emails, voice calls, or WhatsApp. Moreover, it carries out diagnostic evaluations of supply chain metrics in conjunction with ERP data and operational standards, enabling timely insights. It also offers real-time predictions regarding possible supply chain disruptions. By employing machine learning models that draw from past data, the platform improves its forecasting abilities for the future. This sophisticated system not only aids in planning at the source but also presents interventions throughout the operational process. Furthermore, it comes equipped with standardized templates for operations, quality control, and management reporting, thereby optimizing processes for greater efficiency and transparency. Ultimately, the BoxLens platform equips organizations with the tools needed to maneuver through their supply chains with increased effectiveness. This empowers businesses to respond proactively to challenges and seize opportunities as they arise.
Integrations Supported
APERIO DataWise
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Noodle.ai
Date Founded
2016
Company Location
United States
Company Website
noodle.ai/
Company Facts
Organization Name
Tagbox Solutions
Date Founded
2016
Company Location
Singapore
Company Website
www.tagbox.co/boxlenstm/
Categories and Features
Demand Planning
Capacity Planning
Data Visualization
Historical Reporting
Inventory Optimization
Planned vs Actual Tracking
Product Introduction Planning
Promotions Management
Replenishment Management
Sales Forecasting
Supply Forecasting
Categories and Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization