Skip to content Managed Detection
and Response (MDR)
AI-Powered threat detection,
response, and proactive defense
AI-Powered Threat Detection, Response, and Proactive Defense
Organizational digital assets need continuous monitoring and protection against changing security threats. The way forward is a Modern Security Operations Center (SOC) with advanced threat detection and response. NuSummit Cybersecurity’s MDR services, powered by agentic AI, deliver advanced threat detection and response.
Our system is fully autonomous, built on LLMs, planning modules, memory graphs, toolchains, and action policies. These services combine artificial intelligence, machine learning, and expert human analysis to detect, investigate, and respond to cyber threats in real time. Our expert team works closely with threat hunters to ensure rapid threat identification and response. We continuously evolve security use cases for anomaly detection and follow the NIST framework for incident response and recovery.
Cyber Defense Center
Comprehensive 24*7*365 Managed SOC services through our Next-Gen Cyber Defense Center (CDC) capabilities.
700 +
Custom use cases library
350 +
Custom parsers developed to integrate niche log sources
2.7 Billion/day
events analyzed from our next-gen CDC
100 +
Threat hunting models
02 Global CDCs
ISO 27001 certified global CDCs in India: Mumbai, Bangalore | Planned: Riyadh, Dallas
200 +
Security-certified professionals
Use Cases
Fully Automated Alert Triage and Investigation
AI agents are designed to conduct initial triage of incidents and carry out investigations autonomously. These agents can analyze incoming alerts, correlate events from various sources, classify the severity of incidents, and gather diagnostic information to inform effective responses. This functionality significantly reduces human-level effort and improves the MTTR/MTTD for Security Operations Centers (SOCs).
Real-Time Threat Detection
AI models analyze vast amounts of telemetry data from endpoints, networks, and cloud environments. Behavioral analytics and anomaly detection help identify threats that traditional signature-based tools might miss.
Automated Response Playbook
Predefined workflows are triggered automatically for common threats (e.g., isolating infected endpoints, blocking IPs, disabling compromised accounts). These playbooks are continuously updated using threat intelligence feeds and machine learning.
Proactive Threat Hunting
Incorporates MITRE ATT&CK Framework-Based Hunting, leveraging the MITRE ATT&CK Matrix to develop and execute both customized manual and automated hunting queries. Utilizing Threat Intelligence-Driven Hunting ensures comprehensive coverage by integrating insights from both commercial and open-source threat intelligence feeds. This enables industry-specific proactive hunting, allowing security teams to anticipate and identify emerging threats relevant to their sector.
Continuous Learning and Adaptation
Machine learning models improve over time by learning from past incidents and analyst feedback. This leads to more accurate detection and faster response.
Dashboard and Reporting
Customized dashboards, including CISO dashboards, providing actionable insights and a comprehensive overview of security metrics to support informed decision-making. Automate and continuously update dashboards with live data.
