Logpoint NDR is a Network Detection and Response (NDR) software solution that leverages artificial intelligence and machine learning to detect, correlate, and respond to threats in real time across network environments. It is designed to identify both known and unknown attacks, reduce false positives, and streamline incident response by connecting seemingly unrelated security events into actionable attack patterns. The platform operates without requiring endpoint agents, reducing operational overhead for IT teams, and integrates with Logpoint SIEM for enhanced threat detection and automated response.

Key Features

AI/ML-Powered Threat Detection Detects malicious activity, including unknown attacks and insider threats, by analyzing network traffic using artificial intelligence and machine learning.

• Immediate identification of threats as they occur
• Learns network activity patterns for improved accuracy

Noise Reduction and Alert Correlation Reduces alert fatigue by connecting related security events and highlighting real threats instead of overwhelming users with individual alerts.

• Chains together alerts to reveal attack patterns
• Focuses on significant security incidents

Chain of Events Analysis Utilizes AI to correlate alerts over time, identifying evolving attack chains and predicting attackers’ next moves.

• Connects normal events into attack chains
• Proactively predicts and prevents next steps in an attack

Real-Time Response Enables faster incident response and threat containment by providing actionable insights as attacks unfold.

• Cuts incident response time
• Prevents lateral movement of attackers across the network

Seamless SIEM Integration Integrates with Logpoint SIEM for comprehensive security coverage, log aggregation, and automation.

• Enhances detection and containment capabilities
• Streamlines security operations

Benefits

Enhanced Security Posture Improves threat detection accuracy and reduces the risk of breaches by identifying threats that bypass traditional endpoint defenses.

• Detects elusive and unknown attacks
• Protects against network-borne ransomware

Operational Efficiency Reduces the workload on IT and security teams by minimizing false positives and automating threat correlation.

• Fewer alerts to investigate
• Less reliance on manual processes

Proactive Threat Prevention Anticipates attacker behavior and enables organizations to prevent breaches before they occur.

• Predicts attacker’s next move
• Enables proactive defense strategies

Cost Savings Consolidates security tools and reduces operational overhead, leading to more efficient use of IT resources.

• Lowers total cost of ownership
• Streamlines security infrastructure