Network Intrusion and Detection System(NIDS)
It is an active response solution which is designed to alter the flow of network traffic based on threat detection. It has been designed to monitor network traffic for suspicious or malicious activities and to prevent unauthorized access, attacks, and intrusions on a computer network.
About NIDS
Network Intrusion Detection System
The system has been designed in such a way that it harnesses and augment the potentials of the signature-based technologies with new technologies such as Machine Learning and Artificial Intelligence on live traffic making it one of the fastest threat detection and remediation platform in the world. It has the provision to integrate with various commercial and opensource SOAR to take remedial action. WhizHack has been collecting real-time attack data for the past one year by deploying their Honeynet Sensors on the public internet. The training datasets thus collected from our won sources and other have been used to train various ML and DL models.
Key-Benefits
Threat Identification and Alert System
Swiftly detects and alerts organizations to various threats, empowering proactive threat detection.
Incident Response Empowerment
Generates actionable alerts upon detecting security incidents, facilitating thorough incident response actions.
Continuous Real-Time Monitoring
Provides uninterrupted real-time monitoring for prompt threat identification and response, crucial for safeguarding organizational integrity.
Signature-Based Threat Detection
Utilizes signature-based detection to proficiently identify known attack patterns and malware signatures, enhancing threat detection.
Anomaly-Based Detection for Advanced Threats
Employs anomaly-based detection to uncover unknown threats and zero-day vulnerabilities, complementing signature-based methods.
Mitigating Downtime and Data Loss
Mitigates downtime and data loss by swiftly detecting and responding to security threats, preserving organizational continuity.
Enhancing Security Posture and Informed Decision-Making
Enhances overall security posture by providing clarity on the network's security status, aiding informed decision-making and strategic imperatives.
Use-Cases
Traffic Monitoring and Live Attack Visualization
Employs DPI for real-time traffic monitoring and features a live attack map for immediate threat insights
Triple-Layer Threat Detection Engine
Uses Signature-based, ML, and DL algorithms to detect known and zero-day threats, minimizing false positives
Behavioral Analysis for Anomaly Detection
Utilizes behavioral analysis to detect abnormal activities, enhancing threat detection
Real-Time Response Capability
Enables real-time response to security incidents, with features like IP blocking and packet dropping
Integration with Third-Party Solutions
Integrates with third-party security software for enhanced threat intelligence and APT detection
Comprehensive Log Analysis
Ensures compliance with regulations through continuous monitoring and auditing of network activity
Instant Alerts and Notification
Provides real-time alerts and customizable dashboards for prompt response to security incidents
Customizable Reporting for Actionable Insights
Offers customizable reporting for in-depth analysis of security events, aiding strategic decision-making
USPs
Multi-layer Network Threat Detection Engine
Uses Triple layer Engines of Signature with highly optimized ML and DL based models
Deep Packet Inspection (DPI)
Uses DPI which examines a larger range of metadata and data connected with each packet the device interfaces with
Zero Day Attack Detection
Potential to detect Zero Day Attacks. It can presently detect more than 23 Classes of Zero Day Attacks
Self-Healing and Auto-Updating Sensors
Threat catching sensors that are not only effective in detecting network threats but also self-healing and auto-updating. This ensures that the ZeroHack - NIDS stays current with the latest threat intelligence and can adapt to new threats automatically, reducing the need for manual intervention