AI Detect

Specifically designed to identify and contain zero-day ransomware attacks that often bypass conventional perimeter and endpoint security.

Provides continuous, round-the-clock monitoring and proactive measures to prevent cyber threats.

Indicates ease of installation and configuration, allowing for quick deployment.

Aims to deliver effective security by reducing the volume of irrelevant alerts, allowing security teams to focus on actionable threats.

Continuously observes and analyzes network traffic for any signs of malicious activity.

Initiates immediate and effective countermeasures against detected cyberthreats within the network.

Establishes a baseline of typical network activity to accurately identify deviations and anomalies indicating threats.

Conducts thorough and in-depth analysis of network traffic to uncover hidden or complex threats.

Signifies that its operations and potentially data processing are located within the European Union, which can be relevant for data privacy and compliance.

Allows the software to be deployed and function within an organization's private infrastructure without requiring constant internet connectivity.

Enables the system to expand and adapt efficiently to larger and more complex network environments.

Possesses the capability to uncover threats that are specifically designed to evade detection by conventional security measures.

Provides comprehensive visibility and detailed insights into all network activities by seeing and extracting metadata.

Designed to integrate with and enhance an organization's current suite of security tools and solutions.

Offers the ability to see, analyze, and store all network activity without the need for predefined rules, pattern detection, or decryption.

Adapts to the specific characteristics and patterns of an organization's network, encompassing on-premise devices, multi-cloud environments, and IoT infrastructure.

Utilizes artificial intelligence to detect threats, including both well-known attack patterns and previously unknown threats, without relying on static rules.

Automatically discovers all assets within the network and provides a high-level overview of the organization's attack surface and associated risks.

Employs machine learning to accurately distinguish real threats from benign activities, thereby reducing false alerts by over 90%.

Streamlines the threat investigation process for SOC teams by reducing alert overload, allowing them to focus on critical incidents.

Applies advanced analytical techniques and machine learning algorithms for real-time threat detection and neutralization.

The fundamental operational mechanism, continuously observing network traffic for deviations and acting immediately upon detection.

Ensures rapid handling of threats through automated actions and immediate notifications to security personnel.