Frequently Asked Questions

1. Does AttackFence NDR offer an appliance-based hardware solution?

Yes, AttackFence NDR provides hardware-based appliances, ensuring that all components are integrated into a single solution for optimal performance and reliability.

2. Do the proposed NDR systems have dual redundant power supplies?

Yes, all systems/subsystems of the proposed NDR systems come equipped with dual redundant, hot-swappable internal power supplies, ensuring high availability and fault tolerance.

3. Does AttackFence NDR have inbuilt storage for data retention?

Yes, AttackFence NDR is equipped with adequate inbuilt storage to retain a minimum of 30 days' worth of data from day 1, ensuring compliance with data retention requirements.

4. Is the NDR solution sized according to the RFP inventory details?

Yes, the solution is sized according to the inventory details provided in the RFP, considering a 30% escalation from day 1.

5. Does the solution include hardware and software components with OEM certification?

Yes, AttackFence NDR includes hardware appliances such as compute, memory, storage, operating systems, databases, and corresponding licenses. The sizing is certified by the prospective OEM, and the certificate is submitted along with the bid.

6. How does AttackFence NDR provide internal network visibility and actionable insights?

AttackFence NDR integrates user information with network traffic statistics to deliver detailed intelligence into user activity, helping to quickly identify potential threats anywhere across the network.

7. Does the NDR solution provide flexibility to drill down into user activity and other host statistics?

Yes, AttackFence NDR offers the flexibility to drill down into various statistics like user activity, MAC addresses, interface utilization, and more, using anomaly detection methods to identify potential threats.

8. Can AttackFence NDR detect malware on both encrypted and non-encrypted payloads?

Yes, the solution is capable of detecting malware in both encrypted and non-encrypted payloads, providing comprehensive security across all forms of traffic.

9. How does AttackFence NDR provide a full audit trail of network transactions?

By collecting, analyzing, and storing log information from various sources, AttackFence NDR provides a full audit trail of all network transactions, which helps in detecting anomalous traffic and performing effective forensic investigations.

10. Does the solution offer real-time monitoring and visibility into network traffic?

Yes, AttackFence NDR provides real-time monitoring and visibility into all network traffic, utilizing machine learning, context-aware analysis, and on-premise threat detection and analytics.

11. Does the solution provide meaningful analytics data to quantify network usage?

Yes, AttackFence NDR provides meaningful analytics data, including charts and tables, that quantify exactly how the network is being used, by whom, and for what purpose.

12. Does the solution use machine learning to detect anomalies?

Yes, the solution employs unsupervised and supervised machine learning, along with probabilistic mathematics, to detect significant anomalies in user, device, or network activities that signal an attack.

13. Does AttackFence NDR provide contextual network-wide visibility?

Yes, AttackFence NDR provides contextual network-wide visibility via an agentless approach, offering complete insight into the network traffic and activities.

14. Can the solution analyze traffic flow across the existing network without disruption?

Yes, AttackFence NDR can analyze traffic flow across the existing network without being disruptive, leveraging the existing network environment as a sensor grid.

15. Does the solution have an automated discovery function to identify network devices?

Yes, the solution automatically identifies network devices and captures information such as IP address, OS, services provided, and other connected hosts, ensuring comprehensive network visibility.

16. Can the solution identify the source of an attack without blocking legitimate users?

Yes, AttackFence NDR is designed to identify the source of an attack while ensuring that legitimate users are not blocked, allowing for effective threat response.

17. Does the solution support analysis by grouping network segments?

Yes, AttackFence NDR allows analysis by grouping network segments such as user VLANs, management VLANs, and server farms, providing detailed insights into network activity.

18. Can the system monitor flow data between various VLANs?

Yes, the system can monitor flow data between various VLANs, enabling comprehensive visibility across network boundaries.

19. Does the solution support application profiling and custom applications?

Yes, AttackFence NDR supports application profiling and can also handle custom applications, ensuring visibility into all applications present or acquired by the end user.

20. Can the solution enrich flow records with additional fields for analysis?

Yes, AttackFence NDR can enrich flow records with additional fields, such as source and destination IPs, MAC addresses, TCP/UDP ports, number of packets, bytes transmitted, timestamps, NAT translations, etc., and use these enriched fields for advanced analytical algorithms.

21. Does the solution track user activity across local and remote network sites?

Yes, the solution can track user activity across local and remote network sites, providing a complete picture of usage behavior across the entire network.

22. Does the solution support various flow formats, such as NetFlow and IPFIX?

Yes, AttackFence NDR supports all forms of flow data, including NetFlow, IPFIX, sFlow, JFlow, cFlowd, and NSEL, ensuring compatibility with various network devices.

23. Can the solution stitch flow records from different network devices?

Yes, the solution can combine and stitch flow records from different network devices like routers, switches, and firewalls into a single bi-directional flow record, providing a unified view of network conversations.

24. Can the solution stitch flows even when traffic is NATed by firewalls?

Yes, AttackFence NDR can stitch flows into conversations even when traffic is NATed by firewalls, clearly showing the original and translated IP addresses.

25. Does the solution provide application bandwidth utilization graphs?

Yes, the solution provides detailed bandwidth utilization graphs for various applications, including bandwidth consumption for top hosts and trends on network bandwidth utilization.

26. Does the solution minimize the impact on network performance during probing?

Yes, AttackFence NDR probes the network in a manner that minimizes its impact on network performance, ensuring smooth operation during monitoring.

27. Is the solution out-of-band from the primary data path?

Yes, AttackFence NDR is an out-of-band analytics engine, meaning it operates independently from the primary data path to avoid disrupting network traffic.

28. Does the system automatically identify devices, servers, and subnets within the network?

Yes, the system provides detailed visibility to automatically identify devices, servers, and subnets within the network, ensuring comprehensive monitoring.

29. Does the solution support behavioral analysis based on network asset relationships?

Yes, the solution provides the capability for behavioral analysis based on user-defined relationships between network assets, such as services, protocols, and tolerances.

30. Does the solution assign risk and credibility ratings to alerts and hosts?

Yes, AttackFence NDR assigns risk and credibility ratings to alerts and hosts, prioritizing high-fidelity alerts based on threat severity and contextual information displayed on the dashboard.

31. Can the solution identify the usage of insecure, legacy encryption algorithms?

Yes, AttackFence NDR includes use cases to identify insecure, legacy, and deprecated encryption algorithms being used by servers on the network.

32. Can the solution define custom policies to evaluate flow attributes?

Yes, the solution allows users to define custom policies to evaluate flow attributes such as byte ratios, services, processes, names, and more, providing flexible configuration options.

33. Does the tool support interactive event identification and business logic creation for threat detection?

Yes, AttackFence NDR supports interactive event identification and the creation of business logic and policies for custom threat detection.

34. Can the solution detect traffic from high-risk applications like file sharing and peer-to-peer communication?

Yes, the solution can identify network traffic from high-risk applications such as file sharing and peer-to-peer communications, helping mitigate potential security threats.

35. Does the solution provide enterprise-wide network visibility and apply advanced security analytics?

Yes, AttackFence NDR provides enterprise-wide network visibility and applies advanced security analytics to detect and respond to threats in real time, including reconnaissance, data exfiltration, DDoS attacks, and insider threats.

36. Does the solution use behavioral technology, machine learning, and advanced entity modeling?

Yes, AttackFence NDR uses behavioral technology, machine learning, and advanced entity modeling to reduce false positives. It effectively detects significant anomalies and behavioral drifts that may signal an attack.

37. Can the solution use mathematical modeling to detect ongoing attacks?

Yes, AttackFence NDR employs mathematical modeling to create statistically significant views of user, device, and network behaviors, enabling the detection of attacks already present within the enterprise.

38. Does the solution provide a comprehensive 360-degree view of network activity?

Yes, AttackFence NDR detects in-progress attacks as they evolve, offering a true 360-degree view of network activity to reveal who and what is using the network's data or facilities.

39. Can the solution assess weak links within the network to predict target threats?

Yes, AttackFence NDR assesses weak links, such as insider users, within the network to act as an early indicator for potential target threats.

40. Does the solution automatically learn and detect subtle threats within the network?

Yes, AttackFence NDR automatically learns normal patterns of life for every user, device, and network. This capability allows it to detect even the most subtle cyber threats, including insider threats.

41. Can the solution detect anomalous data transfers to, from, or within the corporate network?

Yes, AttackFence NDR detects anomalous data transfers to, from, and within the corporate network, enabling quick identification and response to potential data breaches or misuse.

42. Can the solution identify unusual or unauthorized behavior within the network?

Yes, AttackFence NDR detects unusual and unauthorized behaviors within the network, such as:
  • Unusual RDP sessions
  • Port scanning activities
  • Unauthorized devices plugged into the network
  • Unauthorized use of access credentials to internal resources

43. Can the system automatically identify devices, servers, and subnet information within a network?

Yes, AttackFence NDR provides detailed visibility by automatically identifying devices, servers, and subnet information within the network for efficient asset management.

44. Does the system monitor traffic passively and provide real-time alerts?

Yes, AttackFence NDR monitors network traffic passively without being invasive and has the ability to send real-time alerts when threats or anomalies are detected.

45. Can the system track malicious activity historically?

Yes, AttackFence NDR tracks malicious activity historically, providing details such as the location, first/last seen dates, and a summary of the associated activity for thorough investigations.

46. Does the system assess and model breaches with mathematical algorithms?

Yes, AttackFence NDR uses advanced mathematical algorithms to assess and model breaches. Alerts are raised based on anomaly ratings on a percentile basis, ensuring precise threat identification.

47. Can the solution analyze network data up to Layer 7 for application visibility?

Yes, AttackFence NDR performs deep analysis up to Layer 7, providing complete visibility into applications and ensuring a detailed understanding of network activity.

48. Can the solution detect command and control (C2) and bot communications?

Yes, AttackFence NDR detects command and control (C2) and bot communications by analyzing the domains/URLs users attempt to access.

49. Does the solution have DNS Threat Analytics capability?

Yes, AttackFence NDR includes DNS Threat Analytics, which can detect threats present in DNS traffic, providing an additional layer of security for domain-based attacks.

50. Can the solution detect vertical and horizontal scans within the environment?

Yes, AttackFence NDR is capable of detecting both vertical and horizontal scans within the network, helping identify potential reconnaissance activities or intrusion attempts.

51. Can the solution identify weak ciphers used by hosts or applications on the network?

Yes, AttackFence NDR identifies and highlights weak ciphers used by hosts or applications on the network. It searches, monitors, and reports on the cipher suites in use to ensure compliance with security best practices.

52. Can the solution detect high-volume attacks and abnormal traffic patterns?

Yes, AttackFence NDR analyzes network traffic to detect high-volume attacks and abnormal patterns, enabling prompt mitigation of potential threats.

53. Does the solution support ransomware detection and malware profiling?

Yes, AttackFence NDR is equipped to detect ransomware and perform profiling of malware for early identification and response to malicious activity.

54. Can the solution detect private and anonymous VPN tunnels beyond organizational VPNs?

Yes, AttackFence NDR supports VPN tunnel detection for private and anonymous VPNs (e.g., personal privacy VPNs) in addition to organization-specific VPNs, helping identify attempts to evade network monitoring.

55. Does the solution support port-agnostic protocol detection?

Yes, AttackFence NDR is port-agnostic, capable of detecting protocols and applications even when they use non-standard TCP/UDP ports, ensuring comprehensive visibility.

56. Can the solution establish normal traffic baselines and detect deviations?

Yes, AttackFence NDR provides a full-featured Network Threat Analyzer that establishes “normal” traffic baselines using flow analysis techniques and detects deviations indicative of threats originating inside the network.

57. Can the solution detect DoS/DDoS attacks and botnet activity?

Yes, AttackFence NDR detects denial-of-service (DoS) and distributed denial-of-service (DDoS) attacks, including ICMP, UDP, TCP SYN, and IP NULL floods. It also identifies botnet activity and detects long-lived connections that may indicate data exfiltration.

58. Can the solution identify lateral movement, malware, and resource misuse?

Yes, AttackFence NDR employs anomaly detection methods to identify attacks such as self-propagating malware, worms, lateral movement, resource misuse, and misconfigurations within the network.

59. Does the solution support NTP server time synchronization?

Yes, AttackFence NDR supports NTP server time synchronization to ensure accurate and consistent timestamps across the platform.

60. Can the solution interoperate with different network environments for end-to-end visibility?

Yes, AttackFence NDR interoperates seamlessly with Data Center, Core, and Campus networks to track endpoints and provide comprehensive end-to-end visibility and control.

61. Does the solution integrate with existing security solutions like SIEM, NGFW, and others?

Yes, AttackFence NDR seamlessly integrates with existing security solutions such as SIEM, Next-Generation Firewalls (NGFW), Routers, Switches, Network Access Control (NAC), SOAR platforms, Proxy, Web Application Firewalls (WAF), and mail gateways. All necessary licenses for integration are provided from day one to ensure smooth interoperability.

62. Can the solution integrate with Open LDAP, Microsoft Active Directory, RADIUS, and DHCP for user identity mapping?

Yes, AttackFence NDR integrates with Open LDAP, Microsoft Active Directory, RADIUS, and DHCP to provide user identity information in addition to IP address data. It allows for grouping based on Identity or Active Directory workgroups and maintains historical mapping of usernames to IP address logins in a searchable format.

63. Does the solution have built-in reports and customizable reporting options?

Yes, AttackFence NDR includes a range of built-in reports and allows users to create custom reports, such as Executive reports, Detection Lifecycle reports, and Health reports, among others.

64. Can the solution generate reports in various formats, and can they be scheduled for automatic delivery?

Yes, AttackFence NDR can generate reports in multiple formats, including HTML, Excel, CSV, and PDF. Reports are available in real-time on demand and can be automatically generated and scheduled for delivery via email.

65. Are reports predefined and customizable based on security roles?

Yes, the solution comes with predefined reports and supports the creation of custom reports. It also provides the ability to run specific reports based on the user’s security role.

66. Does the system track historical malicious activity and provide a summary?

Yes, AttackFence NDR tracks historical data on malicious activity, including the dates first/last seen and provides a summary of such events, assisting with forensic investigations and threat response.

67. Does the solution have centralized management with role-based administration?

Yes, AttackFence NDR includes a Centralized Management system with support for role-based administration, enabling efficient and secure management of the solution.

68. Can the solution be deployed in a centralized mode with management and reporting from a single dashboard?

Yes, the solution can be deployed in a centralized mode with all management and reporting accessible through a single, unified dashboard for the entire deployment, ensuring ease of use and centralized control.

69. Does the solution allow administrators to centrally configure settings?

Yes, administrators can centrally configure settings within AttackFence NDR, streamlining the configuration process and maintaining control over the entire deployment.

70. Does the solution support backup and recovery of policies and configurations?

Yes, AttackFence NDR supports the backup and recovery of policies and configurations, ensuring that the system can be quickly restored in the event of a failure or error.

71. Can the solution alert admins and take mitigation actions like quarantining or blocking endpoints?

Yes, AttackFence NDR can alert administrators and provide mitigation actions, such as quarantining or blocking endpoints, or executing custom scripts like ACL pushes to block the further spread of malware or worms.

72. Does the solution adhere to industry standards for technical and functional specifications?

Yes, AttackFence NDR adheres to industry standards to meet the required technical and functional specifications, ensuring that it complies with the best practices and regulatory requirements for network detection and response solutions.

73. Does the solution support active scanning of enterprise assets in addition to passive profiling?

Yes, the solution supports both active and passive scanning. While passive profiling helps in continuously monitoring assets without network disruptions, active scanning can be initiated for specific enterprise assets to detect vulnerabilities, misconfigurations, and unauthorized devices.

74. Can the solution extract payloads from network traffic for deeper analysis?

Yes, the solution is capable of extracting payloads from network traffic. This allows for forensic analysis, threat hunting, and malware detection, ensuring a comprehensive approach to network security.

75. Does the solution support policy and pattern-based violation detection?

Yes, the solution detects policy and pattern violations to identify potential security threats. It continuously analyzes network behavior to detect anomalies that may indicate malicious activity or policy breaches.

76. Can the policy/pattern violation detection rules be modified to include Layer 7 details?

Absolutely. The detection rules are fully customizable and can incorporate Layer 7 traffic details, ensuring deep visibility and improved accuracy in identifying threats.

77. Does the system provide statistical visualization for policy/pattern violations?

Yes, the solution includes statistics-based visualization for better understanding of policy violations. This helps security teams quickly interpret data and respond to threats efficiently.

78. Can the system aggregate analysis for policy/pattern violations and forensic investigation?

Yes, the system supports aggregated analysis, allowing security teams to correlate violations over time, track threat trends, and conduct forensic investigations efficiently.

79. Can the system consume external lists of known bad IPs?

Yes, the system can integrate external threat intelligence feeds and automatically alert security teams when connections to known malicious IP addresses are detected.

80. Does the solution support integration with external threat feeds?

Yes, the solution is capable of integrating with multiple external threat intelligence feeds to enhance detection accuracy and provide real-time threat context.

81. Can the system forward security events to SMTP, SYSLOG, and SNMP for high-risk issues?

Yes, the system supports event forwarding to SMTP, SYSLOG, and SNMP, ensuring seamless integration with existing security infrastructures.

82. Does the solution have native integration with CERT CMTX & NCIIPC Threat Feeds?

Yes, the solution natively integrates with CERT CMTX and NCIIPC threat feeds to provide actionable intelligence and strengthen the organization's threat detection capabilities.

83. Does the solution is capable to receive data from end points and application?

Yes, the solution is capable of receive data from endpoint and application with any agent on endpoints or application.

84. Does the solution transform raw data into key-value pairs?

Yes, the solution transform raw network traffic into enriched telemetry for better investigation.

85. Does the solution is capable of sending data to centralized location for data processing?

Yes, the solution is capable to sending data to centralized location or it can be integrated with direct attached storage in network.

86. Does the solution support deep packet inspection and encrypted communication?

Yes, the solution supports deep packet inspection (DPI) and encrypted communication.

87. Does the solution managed using web-based and LAN based user interface.

Yes, the solution managed via secure web based interface and SSH, and also supports multiples user with role-specific access to systems.

88. Does solution stored user PII information?

No, solution doesn't store any PII information about user it only store information which is necessary to detect real-time threat.

89. Does solution generate alerts for misconfigure parameter?

Yes, The solution includes and permits creation of threshold based rules that alert/notify upon any threshold breach

90. What is AttackFence NDR and why does my organization need it?

AttackFence NDR (Network Detection and Response) is a next-generation cybersecurity solution that continuously monitors network traffic (north-south and east-west) to detect, analyze, and respond to advanced threats that bypass traditional defenses like firewalls and antivirus. Organizations need it because:
  • Advanced Threat Visibility: Attackers increasingly use stealthy techniques like lateral movement, encrypted traffic, and insider misuse, which NDR detects.
  • Reduced Dwell Time: Faster detection and response minimize business disruption and financial impact.
  • Compliance & Governance: Meets regulatory requirements for continuous monitoring, threat detection, and incident response.

91 . How is NDR different from traditional security solutions like firewalls, IDS/IPS, or SIEM?

  • Firewalls/IDS/IPS stop or flag known threats at the perimeter, but they miss insider threats and sophisticated attackers.
  • SIEM aggregates logs, but its effectiveness depends on log quality and coverage.
  • NDR complements both by analyzing live network traffic in real time, detecting behavioral anomalies, and providing deep visibility across all network segments.
  • Together, NDR + SIEM + EDR form a holistic threat detection ecosystem.

92 . What types of threats can AttackFence NDR detect?

AttackFence NDR detects:
  • Advanced persistent threats (APTs).
  • Insider threats & compromised accounts.
  • Lateral movement within the network.
  • Data exfiltration attempts.
  • Malware, ransomware, and botnet communication.
  • Encrypted traffic anomalies (SSL/TLS inspection supported).
  • Misuse of privileged accounts.
  • Command & Control (C2) beaconing.

93. How does AttackFence NDR integrate with existing security tools (SIEM, SOAR, EDR, Firewall, etc.)?

AttackFence NDR integrates seamlessly with:
  • SIEM: Sends enriched threat alerts for correlation.
  • SOAR: Automates incident response playbooks.
  • EDR/XDR: Shares IOCs for endpoint containment.
  • Firewalls/NGFW: Auto-block malicious traffic.
  • Ticketing Systems: Creates incidents for IT/security teams.

94. Can AttackFence NDR monitor encrypted traffic?

Yes. AttackFence NDR can analyze encrypted traffic (TLS/SSL) using metadata analysis, JA3/JA3S fingerprinting, and selective decryption (if enabled) without compromising privacy.
This ensures threats hidden in encrypted channels are detected.

95. How much network bandwidth/throughput can AttackFence NDR handle?

AttackFence NDR is highly scalable. Licensing and appliances are available to monitor up to 40+ Gbps.

96. Does AttackFence NDR provide real-time threat detection or post-event analysis?

Both.
  • Real-time detection: Identifies suspicious behavior and malicious activity as they occur.
  • Forensics & Post-event analysis: Stores metadata, packet capture, and session logs for historical investigation.

97. How does AttackFence NDR help in reducing false positives?

  • AI/ML-driven detection models continuously learn normal behavior and adapt.
  • Threat intelligence integration enriches alerts with context.
  • Correlation across multiple detections reduces noise.
  • SOC-tuned playbooks & baselining ensure only high-confidence alerts are escalated.

98. Can AttackFence NDR help with regulatory compliance (e.g., RBI, ISO, GDPR, HIPAA, PCI-DSS)?

Yes.
  • AttackFence NDR supports compliance by providing continuous monitoring & log retention, detecting and alerting on data exfiltration attempts, and supporting network segmentation validation.
  • It is aligned with frameworks like NIST CSF, RBI Cybersecurity Guidelines, PCI DSS v4.0, and ISO 27001.

99. What deployment options are available (on-premises, cloud, hybrid)?

  • On-Premises Appliance: Physical or virtual appliance for enterprise networks.
  • Cloud Deployment: SaaS-based NDR for cloud-native workloads (AWS, Azure, GCP).
  • Hybrid Model: Unified visibility across data center + cloud + remote offices.

100. How long does it take to deploy AttackFence NDR in a typical enterprise environment?

Deployment depends on environment complexity.
  • POC/Pilot: 1–2 weeks.
  • Full Deployment: 4–6 weeks (including tuning & integrations).
A structured onboarding methodology covers design, implementation, baselining, and SOC enablement.

101. Does AttackFence NDR provide automated response or is it detection-only?

AttackFence NDR supports both detection-only and automated response modes.
  • Detection-only mode (alerting and investigation).
  • Automated Response mode (through SOAR or direct firewall/EDR integration): quarantine host/IP, block malicious traffic, disable user account, trigger ticket/incident in ITSM.

102. How scalable is the AttackFence NDR solution?

  • Supports from SMBs to large enterprises.
  • Modular licensing (per Gbps, per sensor).
  • Multi-site & multi-cloud monitoring from a single centralized dashboard.
  • Horizontal scaling for higher throughput.

103. What kind of visibility does AttackFence NDR provide?

  • Full network visibility: North-South + East-West.
  • Application layer (L7) insights: Detects anomalies in HTTP, DNS, FTP, SMTP, etc.
  • User & Device identification: Maps activity to users, devices, and assets.
  • Network Map & Asset Discovery: Identifies unmanaged/rogue devices.

104. What is the licensing model for AttackFence NDR?

Licensing is based on network throughput monitored, number of sensors/locations, and optional add-ons for advanced analytics, threat intelligence feeds, and long-term data storage/packet capture.

105. What kind of support and training is provided post-deployment?

  • 24x7 Support (Phone/Email/Portal).
  • Onsite/Remote SOC enablement training.
  • Detailed Runbooks & Knowledge Transfer sessions.
  • Quarterly health checks & threat hunting workshops.
  • Customer Success Manager assigned for ongoing adoption.

106. Can AttackFence NDR be used in OT/IoT environments?

Yes.
  • IT + OT visibility (Industrial protocols like Modbus, DNP3, BACnet).
  • IoT device profiling and anomaly detection.
  • Passive monitoring ensures no disruption to critical OT systems.

107. Does AttackFence NDR support AI/ML-based detection?

Yes.
  • Supervised ML (signature + behavior).
  • Unsupervised ML (anomaly detection).
  • Deep Learning for encrypted traffic analysis.
  • Continuous adaptive learning models reduce false positives.

108. Can the solution perform forensic investigation and packet capture?

Yes.
  • Full packet capture (PCAP) and session replay.
  • Metadata storage for months.
  • Timeline-based forensic investigation.
  • Integration with SIEM/SOAR for case management.

109. What differentiates AttackFence NDR from other NDR solutions in the market?

  • Local threat intelligence aligned to Indian regulatory ecosystem (RBI, CERT-In).
  • Cloud + On-prem unified dashboard for hybrid enterprises.
  • Optimized licensing (cost-effective compared to global vendors).
  • Faster deployment & local support with regional expertise.
  • Integration-ready with major EDR, SIEM, SOAR, and NGFW platforms.

110. What industries benefit most from AttackFence NDR?

  • AttackFence NDR benefits all industries where sensitive data, compliance, and uptime are critical.
  • Industries with high attack frequency and regulatory obligations gain the most, including Banking & Financial Services, Healthcare, Manufacturing, IT & Telecom, and Government & Defense.

111. Can AttackFence NDR detect encrypted traffic threats?

Yes.
  • AttackFence NDR can analyze encrypted traffic (TLS/SSL) using metadata analysis, JA3/JA3S fingerprinting, and behavioral profiling, plus decryption support where compliance allows.
  • Methods include flow analysis, TLS fingerprinting, and optional decryption via inline TLS termination or mirrored traffic with private keys.

112. How does AttackFence NDR handle zero-day attacks?

  • AttackFence NDR detects zero-days through behavior-based detection and ML anomaly models, not just signature-based rules.
  • It identifies unusual patterns such as data exfiltration, lateral movement, and beaconing, with AI-driven baselining to detect deviations and integrated threat intelligence for emerging exploits.

113. Does AttackFence NDR integrate with SIEM solutions?

Yes. It supports Syslog, CEF, JSON, STIX/TAXII, bi-directional APIs to enrich SIEM events with NDR context, and automated alert forwarding and correlation with endpoint & log data.

114. What is the deployment architecture for AttackFence NDR?

Deployment can be flexible: On-Premise Appliance/VM for data centers & regulated industries, Cloud-Native scalable sensors in VPCs, Hybrid Mode for branches/HQ/multi-cloud, and Tap/Port Mirroring for passive collection.

115. How does AttackFence NDR reduce false positives?

False positives are minimized using AI-driven baselining, adaptive thresholds, contextual enrichment (threat intel, geo-IP, identity), feedback loops for model tuning, and multi-layer correlation.

116. Can AttackFence NDR detect insider threats?

Yes. It monitors lateral movement, unusual data access and exfiltration attempts, detects privilege misuse, identifies policy violations, and uses behavioral analytics baselines to trigger alerts on deviations.

117. What is the average implementation time for AttackFence NDR?

  • Implementation depends on environment size.
  • Small/Mid-sized Enterprises: 1–2 weeks.
  • Large Enterprises: 4–6 weeks.
  • Phased rollout: start monitoring in 1–2 days, with full optimization in 4–6 weeks.

118. How does AttackFence NDR support threat hunting?

Threat hunting is enabled with raw packet and flow-level data, a powerful query interface, MITRE ATT&CK mapping, visualization dashboards, and custom playbooks to automate recurring workflows.

119. What are the licensing models available?

Flexible options include throughput-based, node/device-based, hybrid, and subscription (SaaS) for cloud-native deployments.

120. How does AttackFence NDR handle cloud-native environments?

Supports multi-cloud and containerized environments with VPC Traffic Mirroring, Kubernetes & Docker visibility for east-west detection, API monitoring for SaaS, and scalable auto-scaling cloud sensors.

121. What makes AttackFence NDR unique compared to other vendors?

Key differentiators include an AI-native detection engine, agentless deployment, integrated threat hunting with MITRE ATT&CK mapping, rapid deployment, and strong compliance alignment.

122. Can AttackFence NDR work with existing firewalls and EDRs?

Yes, it complements existing tools by analyzing what bypasses perimeter defenses, adding visibility into unmanaged/IoT/OT devices, automating workflows with SOAR, and enriching context for higher accuracy.

123. Does AttackFence NDR require agents?

No. It is agentless, using network taps, port mirroring, and sensors, with optional API-based integration to endpoint tools if needed.

124. How scalable is AttackFence NDR?

Highly scalable for multi-10Gbps to 40Gbps+ monitoring, elastic architecture with add-on sensors, cloud auto-scaling, and centralized management for global deployments.

125. Can AttackFence NDR support compliance requirements (e.g., PCI-DSS, HIPAA)?

Yes. It helps meet PCI-DSS, HIPAA, GDPR, SOX, RBI, ISO 27001 by monitoring sensitive environments, detecting PHI leaks and unauthorized access, identifying exfiltration, and providing logs and audit trails.

126. How does AttackFence NDR assist with incident response?

It accelerates IR with forensic packet data, real-time alerts, pre-built playbooks, SOAR integration for automated actions, and root-cause analysis along the kill chain.

127. Can AttackFence NDR detect lateral movement?

Yes. It detects abnormal east-west traffic, identifies pass-the-hash, Kerberos abuse, and RDP misuse, monitors internal privilege escalation, and maps to MITRE ATT&CK TTPs.

128. What kind of analytics dashboards does AttackFence NDR provide?

Dashboards are customizable and role-based for executives, SOC, threat intel, and forensics, covering risk posture, real-time alerts, global IOCs, and historical packet captures.

129. How often does AttackFence NDR update its threat intelligence feeds?

Updates are continuous and automatic with daily global threat intel, instant zero-day intelligence sharing, and integration with STIX/TAXII, ISAC/ISAO, and third-party providers.

130. How is data encrypted at rest and in transit in AttackFence NDR?

  • In transit, data uses TLS 1.2/1.3 with AES-256 between sensors, collectors, and management.
  • At rest, databases, indices, and logs are encrypted with AES-256 and securely managed keys.

131. Does AttackFence NDR support threat hunting capabilities?

Yes, with raw network metadata and full PCAP search, pre-built and custom hunting queries (YARA-L, Sigma, MITRE ATT&CK), AI-powered anomaly surfacing, and pivots across IPs, users, domains, and hashes.

132. How does AttackFence NDR handle compliance requirements (PCI-DSS, HIPAA, GDPR, RBI guidelines, etc.)?

Data minimization and masking align to GDPR/HIPAA, audit logs capture all user activity, encryption/segmentation/retention settings meet PCI-DSS and RBI mandates, and regular compliance updates are provided.

133. What kind of dashboards and reports does AttackFence NDR provide?

Executive dashboards for summarized risk and KPIs, operational dashboards for detections and traffic breakdowns, threat intelligence reports for IOCs and campaigns, and custom reports by business unit/geography/severity.

134. Is multi-tenancy supported for MSSPs or large enterprises?

Yes. Each tenant gets logically isolated dashboards, policies, and logs with role-based delegation, enabling MSSPs to manage multiple clients from a single pane of glass.

135. How scalable is AttackFence NDR?

Horizontal scaling with additional sensors/collectors, elastic data pipelines for ingestion/processing/storage, multi-Gbps support without packet loss, and cloud-native growth for enterprise and MSSP use cases.

136. What kind of machine learning models are used in AttackFence NDR?

Supervised ML for known behaviors, unsupervised ML for anomalies, behavioral ML for user/device/workload patterns, and reinforcement learning to improve accuracy with analyst feedback.

137. How does AttackFence NDR ensure high availability and redundancy?

Clustered management and collectors, active-active failover with automatic traffic rerouting, geo-redundancy across data centers, and continuous health monitoring with auto-restart.

138. Can AttackFence NDR detect encrypted traffic attacks (e.g., HTTPS, SSL/TLS traffic)?

Yes, via JA3/JA3S fingerprinting, header and certificate analysis, metadata-based detection for encrypted tunnels, and SSL decryption integration with firewalls for DPI.

139. How does AttackFence NDR integrate with Security Orchestration, Automation, and Response (SOAR)?

It supports out-of-the-box playbooks (block IP, isolate host, disable account), REST APIs for custom workflows, pre-built connectors, and automation for triage, enrichment, and closure.

140. What is the learning curve for SOC analysts using AttackFence NDR?

An intuitive UI with guided workflows, MITRE ATT&CK mapping, pre-built playbooks, training material, sandbox labs, and certifications result in typical 2–3 week onboarding for Tier-1 analysts.

141. What’s the difference between NDR and IDS/IPS?

  • IDS/IPS is signature-based, perimeter-focused, and alerts or blocks traffic, while NDR is AI-driven, analyzes east-west and north-south traffic, provides context, and detects unknown/zero-day threats.
  • NDR complements IDS/IPS by hunting stealthy, post-compromise activity.

142. How are policies and detection rules updated in AttackFence NDR?

Daily threat intelligence feeds, automatic ML model updates, custom rule authoring, and analyst-driven tuning/overrides are supported.

143. Does AttackFence NDR support Zero Trust initiatives?

Yes. It enhances Zero Trust with continuous lateral movement monitoring, device/user behavior profiling, integration with ZTNA for adaptive access, and detection of anomalous traffic inside “trusted” zones.

144. Can it detect insider threats?

Yes, via User Behavior Analytics that baselines logins, file transfers, and access patterns, alerts on anomalous privilege escalations, mass exfiltration, and policy violations, and integrates with HR/IAM for enriched context.

145. How long is data retained in AttackFence NDR?

Configurable from 30 days to multiple years for metadata/logs, with raw packet captures typically 30–90 days and options for 1–7 years retention depending on storage and external archival/SIEM integration.

146. What is the typical time to detect and respond to a threat with AttackFence NDR?

AI-driven detections flag threats in near-real time (seconds to minutes), automated SOAR actions reduce MTTR to minutes, and with analyst validation most threats are contained within under 1 hour.

147. How does AttackFence NDR align with the MITRE ATT&CK framework?

Every detection maps to relevant TTPs, analysts can pivot investigations by tactics/techniques, dashboards reveal coverage gaps, and it supports adversary emulation with MITRE D3FEND.

148. Can AttackFence NDR provide packet capture (PCAP) for forensic investigations?

Yes, including full PCAPs with retention typically 30–60 days, both session metadata and payload-level captures, and secure export for offline analysis.

149. What kind of customer support and SLAs are offered?

24/7 global support with severity-based SLAs, a dedicated Customer Success Manager, and response targets such as 15 minutes for critical, 1 hour for high, and 4–8 hours for standard issues, plus knowledge base, trainings, and advisory services.

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