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Network Detection & Response (NDR) & Identity Threat Detection & Response (ITDR)

Cyberattacks are evolving with more advanced techniques, such as fileless attacks, identity infiltration, and Advanced Persistent Threats (APT). Without proactive detection, hackers can infiltrate a company’s network undetected for months (high dwell time), stealing data or launching larger attacks.

 

📌 Network Detection & Response (NDR) and Identity Threat Detection & Response (ITDR) are security technologies that enable organizations to monitor, detect, and respond to cyber threats in their network and user identities in real-time.

Without this solution, organizations face the following challenges:

Lateral Movement Attacks
Hackers can move within the network undetected, targeting more sensitive systems.
Identity & Credential-Based Attacks
User accounts can be compromised and used to access sensitive data.
Blind Spots in the Network
Without full visibility, organizations cannot detect suspicious activity within their internal network.
High Dwell Time
The longer a threat remains in the system, the greater the damage it can cause to the business.
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Key Features & Capabilities
NDR & ITDR ensure real-time monitoring, analysis, and response to network anomalies and identity-based threats.
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a. Network Traffic Analysis & Anomaly Detection
  • Analyze Network Traffic Patterns: Analyze network traffic patterns to detect anomalies indicating potential attacks.
  • AI & Machine Learning for Anomaly Detection: Use AI and machine learning to distinguish between normal and suspicious activity in the network.
b. Threat Hunting & Behavioral Analytics
  • Behavior-Based Attack Detection: Detect behavior-based attacks (fileless attacks, zero-day exploits, APT) using deep packet inspection analysis.
  • Device Communication Pattern Evaluation: Evaluate communication patterns between devices in the network to identify intrusion attempts.
c. Identity Threat Monitoring & Compromised Credential Detection
  • Suspicious Account Usage Detection: Detect suspicious account activity, brute force attacks, and credential theft.
  • User & Entity Behavior Analytics (UEBA): Utilize UEBA to detect identity abuse and compromised credentials.
d. Automated Threat Containment & Response
  • Device Isolation for Threat Containment: Isolate infected devices before the threat spreads across the network.
  • Automated Policy-Based Security Actions: Block suspicious activities using automated security policies integrated with SOAR systems.
e. Deep Packet Inspection & Encrypted Traffic Analysis
  • Encrypted Traffic Inspection: Inspect encrypted traffic without affecting network performance.
  • Malware & Ransomware Command & Control Detection: Identify Command & Control (C2C) communications from malware or ransomware attacks.
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Business Benefits
NDR & ITDR enhance security by detecting threats and ensuring network and identity protection.
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a. Stopping Cyber Attacks Before They Happen
  • Detect credential theft, lateral activity, and network exploits with AI behavior-based detection.
  • Prevent ransomware & insider threats with identity-based analytics.
b. Reducing SOC Team Burden & Increasing Efficiency
  • Reduce the number of false positives by up to 80%, allowing the SOC to focus on priority threats.
  • Automate incident triage, saving investigation time up to 50% faster.
c. Ensuring Compliance with Security Regulations
  • Compliant with ISO 27001, NIST, PCI DSS, GDPR, and PDP Act standards with automatic documentation for compliance.
  • Provides comprehensive audit logs to support forensics & incident investigations.
d. Reduce the Cost & Complexity of Security Operations
  • Reduce the need for manual analysis with AI-powered detection & response.
  • Improve operational efficiency with Zero Trust & identity-based detection model.
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Use Cases
NDR & ITDR offer continuous threat monitoring and protection across industries.
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a. Banking & Finance
  • Detect attacks on core banking systems attempting to breach the bank's internal network.
  • Block hacking attempts on customer accounts and prevent administrator credential misuse.
b. Health Services
  • Protect electronic medical records (EMR) from patient identity theft.
  • Secure hospital networks from ransomware attacks spreading through the network.
c. E-Commerce & Retail
  • Prevent customer data theft through identity-based attacks.
  • Monitor API traffic to detect data scraping or malicious bot attacks.
d. Manufacturing & Supply Chain
  • Identify malware in manufacturing IoT networks before it disrupts production systems.
  • Secure employee access identities to ERP and SCM systems from credential theft.
e. Government & Critical Infrastructure
  • Protect national data from network-based attacks and APT threats.
  • Identify unauthorized intrusions into government communication networks.
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How It Works
How NDR and ITDR detect, respond, and mitigate network and identity threats:
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a. Network Visibility & Threat Analysis
  • The system monitors all network traffic and user activities in real-time.
  • AI & Machine Learning are used to detect suspicious anomaly patterns.
b. Threat Correlation & Attack Detection
  • Data from endpoints, networks, and user identities are correlated to understand ongoing attacks.
  • If suspicious activity is detected, the system automatically sends alerts to the security team.
c. Automated Incident Response & Remediation
  • If an attack is detected, the system can automatically isolate infected devices.
  • It activates Zero Trust-based protection to restrict access for suspicious users.
d. Continuous Monitoring & Compliance Reporting
  • The system continuously monitors user and network activity to detect further attacks.
  • Audit logs are provided for incident investigation and regulatory compliance.
Contact our experts for further information