Deception for SOC / MSSP

Description

Labyrinth Deception Platform is a cyber threat detection platform that intentionally protects the network from targeted attacks, unknown threats, botnets, 0-day and malicious insiders by detecting and blocking cyber attacks within the corporate network. The solution does not require additional software installation and has an intuitive interface. The platform provides a simple and effective tool for detecting intruders as soon as possible and complete visibility into the development of attacks with event correlation to make correct and quick decisions.

For MSSPs, it is critical to have tools that will allow them to provide services to customers with low hardware costs and minimal time to deploy the necessary components/modules. This is facilitated by multitenancy functionality and a flexible role model for system users. Simply put, multi-tenancy is the ability of different users or even companies to use resources in isolation within a single installation.

Today, multi-tenant architecture is one of the most efficient models for delivering IT services and is one of the ways to save vast amounts of computing resources and disk storage. A single instance of an application running on a single server infrastructure but available to multiple users and businesses simultaneously helps minimise the cost of providing IT services and maximise their quality.

Labyrinth Deception Platform supports multi-tenancy, which allows you to provide isolated environments for different departments or divisions of a company or customers of an MSSP company within the same installation. This means tenants are entirely isolated from each other, i.e., users, alerts, honeynets, etc., are available within a tenant and not in other tenants.

Key benefits to use deception within SOC or MSSP stack:

• Early detection of threats in the network

• Rapid response to an incident

• Disclosure of targeted attacks

• Post-Intrusion Detection

• Reduced dwell time

In case you have more questions contacts us at info@labyrinth.tech