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What is causaLens?

An innovative no-code AI platform tailored for enterprises converts unrefined data into valuable business insights. While sifting through vast data lakes for actionable information, organizations often face the risk of misleading correlations that can distort their findings and lead to unreliable signals. CausaLake adeptly selects the most pertinent data customized for specific applications, distinguishing itself as the only technology capable of going beyond mere correlated indicators in similar datasets to identify causal elements. Causal AI models depict the mechanisms of various systems, including economies, business operations, and biological processes. They provide a significant degree of trust and transparency, integrating human expertise with the capabilities of artificial intelligence. CausaLab is the forefront technology in discovering causal models. The core purpose of AI extends beyond simply forecasting future events; it strives to actively shape outcomes. For AI to enhance decision-making quality, it must understand the human context, alongside the objectives and constraints of each organization. To tackle this complex issue, we have developed decisionOS, which seamlessly links predictive insights with actionable strategies, thereby enabling organizations to refine their operational approaches. This integration of predictive analytics with decision-making processes represents a significant leap forward in leveraging AI for organizational success.

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.

Media

Media

Integrations Supported

Integrations Supported

OneShot

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Online Training

Company Facts

Organization Name

causaLens

Company Location

United Kingdom

Company Website

www.causalens.com/causal-decision-making-ai-platform/

Company Facts

Organization Name

Spyderbat

Date Founded

2020

Company Location

United States

Company Website

www.spyderbat.com/the-spyderbat-platform/

Categories and Features

Decision Support

Not specified

Categories and Features

Cloud Security

Not specified

Container Security

Not specified

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