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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Plexe AI offers a no-code/low-code machine learning platform enabling users to easily create, train, and deploy predictive models by simply articulating their needs in straightforward language. Users can either connect their data or upload a dataset and express their goals, for example, by saying “forecast customer churn” or “suggest products based on buying patterns,” while the platform manages all aspects, including preprocessing, feature engineering, model selection, evaluation, and deployment as an API endpoint. With its smooth integration capabilities, support for various LLMs and frameworks irrespective of the provider, and an open-source Python SDK for enhanced control, Plexe AI drastically simplifies the process of transforming raw data into operational ML applications. This robust platform not only caters to early adopters but also aims to make machine learning development accessible to a broader audience, fostering quicker realization of data-driven insights. By streamlining workflows, Plexe AI empowers users to harness the full potential of their data efficiently.

Description

Organizations are increasingly adopting advanced deception-based active defense solutions due to their low-risk nature and their ability to mitigate false positives commonly found in other methods. Acalvio's ShadowPlex has been designed to redefine standards for mitigating advanced persistent threats (APTs), ransomware, and malware by centralizing the entire process. The decoys, which include fake hosts or honeypots, are strategically placed across the enterprise network from a single location, making them appear as legitimate local assets. Additionally, the complexity of a decoy can be adjusted in real-time based on the actions of an attacker, enhancing the effectiveness of the deception. This innovative approach to resource management enables ShadowPlex to provide both extensive scale and a high level of decoy realism, making it a powerful tool for organizations. Furthermore, the system streamlines the configuration and deployment of deception tools through automation. By integrating predefined playbooks with an AI-driven recommendation engine, ShadowPlex can autonomously generate and position the right deception objects where they are needed most. This not only enhances security but also reduces the burden on IT teams, allowing them to focus on more critical tasks.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Active Directory
Cisco Identity Services Engine (ISE)
Cortex XSOAR
IBM QRadar SIEM
Microsoft Entra ID Protection
NetWitness
OpenText Enterprise Security Manager
Python
Securonix Unified Defense SIEM
Splunk Cloud Platform

Integrations

Active Directory
Cisco Identity Services Engine (ISE)
Cortex XSOAR
IBM QRadar SIEM
Microsoft Entra ID Protection
NetWitness
OpenText Enterprise Security Manager
Python
Securonix Unified Defense SIEM
Splunk Cloud Platform

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

Plexe AI

Founded

2025

Country

United Kingdom

Website

www.plexe.ai/

Vendor Details

Company Name

Acalvio Technologies

Country

United States

Website

www.acalvio.com/product/

Product Features

Product Features

Cybersecurity

AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting

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