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What is Spyderbat?
Safeguard your cloud-native runtime environments from external threats, configuration errors, and insider vulnerabilities. Utilizing eBPF technology, Spyderbat creates an extensive map that captures activities within cloud systems and containers, revealing their interconnections. This CausalContext map allows Spyderbat to discern workload behaviors, implement security measures, and thwart attacks without dependence on traditional signatures, while also providing immediate insights into underlying issues. The A3C Engine from Spyderbat adeptly transforms data into a visual format that emphasizes these causal relationships, aiding both real-time evaluations and archival references. Additionally, it autonomously generates behavioral fingerprints of workloads, converting them into practical policies that can notify or even prevent irregular activities, thereby fortifying security protocols. This forward-thinking strategy enhances overall cloud security and equips organizations with the necessary tools to adeptly tackle evolving threats as they arise. Furthermore, the combination of real-time monitoring and historical analysis ensures a comprehensive defense against a wide range of risks.
What is Causality Engine?
Numerous attribution tools can show which advertisements a customer engaged with before completing a purchase, highlighting correlation. However, Causality Engine goes a step further by revealing how much your revenue would have been affected if those advertisements had not been executed, thereby proving causation.
By employing causal inference—akin to the statistical methods used in clinical drug studies—we evaluate the actual additional revenue produced by each marketing channel. This methodology guarantees that the outcomes are purely the result of marketing initiatives without any external influences or alterations.
The calculations can be easily understood: for example, if Meta indicates a 4.2x ROAS, yet your total revenue remains the same after a 30% reduction in spending, it suggests those conversions would have occurred anyway. Causality Engine accurately quantifies this phenomenon.
By integrating your GA4 and Shopify data, you can obtain your preliminary causal analysis in under five minutes. There’s no requirement for tracking pixels, cookies, or complex integrations—just upload your data to identify which channels are genuinely facilitating growth versus those that only take credit for existing gains.
The service provides a one-time analysis for $99, and ongoing insights are offered for $299 each month, enabling businesses to continuously monitor their marketing performance and revenue contributions. This approach fosters a deeper understanding of marketing effectiveness over time, allowing for more informed decision-making.
Media
No images available
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$99/month
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
Spyderbat
Date Founded
2020
Company Location
United States
Company Website
www.spyderbat.com/the-spyderbat-platform/
Company Facts
Organization Name
Causality Engine
Date Founded
2023
Company Location
Netherlands
Company Website
causalityengine.ai
Categories and Features
Cloud Security
Antivirus
Application Security
Behavioral Analytics
Encryption
Endpoint Management
Incident Management
Intrusion Detection System
Threat Intelligence
Two-Factor Authentication
Vulnerability Management
Container Security
Access Roles / Permissions
Application Performance Tracking
Centralized Policy Management
Container Stack Scanning
Image Vulnerability Detection
Reporting
Testing
View Container Metadata
Categories and Features
Marketing Attribution
Attribution Modeling
Audience Segmentation
Conversion Tracking
Cross-Channel Attribution
Customer Journey Mapping
Multi-Touch Attribution
Predictive Analytics
ROI Tracking