Automated Threat
Response Eco-System
AI-based threat detection, investigation, and automated response.
Infocentric Driving Business Innovation
Centralized Threat Management
Centralized management to receive data from multiple sources, Prioritize according to the customized scoring, use intelligence for hunting.
Alert Management
Rapid alerts and notification for all types of attack attempts on various levels are detected for fastest alerts to exploitation and infiltration attempts.
Vulnerability Management
Manage and focus on resources where the risk is high and prioritize vulnerabilities with details about how they are being exploited.
Threat Detection
Detect threats which are collected by a broad range of network, security data, 3rd party solutions to have complete monitoring.
Threat Hunting
Empowering organization teams to perform comprehensive impact analysis on malicious attack and track the point of breach.
Automated Threat Response
End-to-end automated response on malicious attacks, and threat mitigation on the basis of criticality of the business assets.
Security made simple
Detect, Mitigate and Stop Threats using AI
Applying machine learning and analytical techniques to collect, manage and share the threat intelligence to the relevant stakeholders to enable a unified response to any kind of threat way before the attack happens.
Advanced AI Solution to Uncover Threats
AI-driven platform, designed with threat intelligence, deep learning, sandboxing, and botnet detection.
Customized Scoring
Security teams can change scoring ranges for greater granularity and automatically recalculate and reprioritize intelligence as new data, and events are added.
Integrations
Bidirectional integrations with all the security technologies in an organization’s ecosystem which allows analysts to make significantly faster and better decisions.
Orchestration
Granular control and automation of integration and orchestration of a variety of systems and devices in organization’s security infrastructure.
Asset Discovery
Possibility to make active and custom identification of organization’s digital assets including endpoints, servers and other devices in LAN.
Real-Time Vulnerability Analysis
Active vulnerability analysis of digital assets, security infrastructure, and network traffic for proactive attack detection and prevention.
Correlation Analysis of Threats
Correlation on attack scenarios to complete effective attack detection and detection of vulnerabilities being used, to track the source of attacks and other information.
Log Collections
Log collection from different data streams are used to process and processed logs allow for easier, better, and more accurate log analysis.
Detailed Visualizations
Attack situation visualization can show geographical distribution of attacks and outbound connection, as well as the ranking of various attacks.
Reporting Dashboard
Security risk status, logical relationship network and abnormal access activity, path and influence range of suspicious attacks of the whole network at a glance.
Threat protection
Real-time Analysis
Real-time graphic correlation analysis, in order to restore the whole attack scenario and reach the point of attack, provides with better understanding and facilitates analysis and evidence collection of the whole attack incident.
Network-Wide Attack Monitoring
n-depth monitoring of network-wide attacks can help the security teams reduce the risk of service being compromised through the geolocation of attackers and their own service and user characteristics.
Risk Monitoring on Outbound Connection
Visual risk monitoring of external connections can show service applications initiating outbound connection, connection destination, application, connection time, and connection frequency.
Investigation Connections
Visualization of asset configuration details can identify IP addresses, operating systems, open ports, and transmission and usage protocols and applications of LAN server assets.
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