DGSense : Observability & Diagnostics

DGSense is an AI-driven Intelligent SIEM and Observability platform that automates threat detection and IT incident management across applications, networks, and endpoints. It reduces alert fatigue, accelerates incident resolution, ensures continuous compliance, and provides unified visibility, enabling proactive security and scalable, resilient IT operations across high-volume enterprise environments. 

 
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Intelligence That Transforms Security and IT Operations

DGSense enables organizations to move beyond reactive monitoring with AI-powered intelligence that automates threat detection, investigation, and response at scale. By reducing noise, accelerating root cause analysis, and ensuring continuous compliance, it empowers SecOps and IT teams to operate faster and smarter while maintaining resilience, security, and control across complex digital ecosystems.

Key Highlights of DGSense

DGSense is an AI-driven Intelligent SIEM and Observability platform that automates threat detection and IT incident management across applications, networks, and endpoints. It reduces alert fatigue, accelerates incident resolution, ensures continuous compliance, and provides unified visibility, enabling proactive security and scalable, resilient IT operations across high-volume enterprise environments. 

 
 
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Smart Ticket Analyzer & RCA

Analyzes IT incidents and security alerts with AI-driven root cause suggestions. Supports ML-based ticket classification and automated resolution playbooks. 

 
Unified Threat Detection & SIEM

Correlates logs across infrastructure and applications using built-in SIEM. Enables behavior-based anomaly detection via UEBA capabilities. 

 
 
Automated Response & SOAR

Orchestrates alerts and incident workflows for faster remediation. Automates alert triage to reduce manual effort for SOC teams.

 
 
 
360° Observability & APM

Syncs logs, metrics, and traces across core systems. Enables detailed service maps and real-time monitoring of application health.

 
 

Multiple Use Cases

Covers diverse enterprise use cases including SOC monitoring, APM telemetry, smart IT service management, and compliance auditing, enabling automated, accurate, and scalable threat detection and resolution across complex IT workflows.

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Smart IT Incident Management

Problem Area

Manual ticket analysis causes delays, poor root cause identification, and SLA breaches in IT operations. 

 
 
Solution

AI-powered extraction of ITSM data ensures faster ticket classification and automated root cause suggestions. 

 
 
Value Proposition

Accelerates resolution, reduces operational noise, improves SLA adherence, and enhances overall IT efficiency. 

 

Application Performance Monitoring (APM)

Problem Area

Lack of visibility across complex applications increases downtime and delays troubleshooting workflows. 

 
Solution

Integrates logs, traces, and metrics to provide unified observability and real-time service maps. 

 
 
Value Proposition

Improves system reliability, reduces downtime risks, speeds up RCA, and enables resilient digital ecosystems. 

 
 
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Security & SLA Compliance Auditing

Problem Area

Disconnected logs and manual reporting create inconsistencies and audit risks in regulatory adherence. 

Solution

Centralizes log retention and automates historical SLA trend analysis for governance reviews.

Value Proposition

Ensures compliance confidence, reduces audit risks, improves reporting consistency, and enables regulatory adherence. 

Next-Gen SOC Monitoring

Problem Area

Growing attack surfaces and low fidelity detections cause alert fatigue and missed threats.

 
Solution

Automates threat detection and correlation using AI/ML-driven SIEM and threat intelligence feeds.

 
Value Proposition

Improved threat visibility, reduced risk, and scalable compliance-driven security operations for the enterprise.

 
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Business Impact

A Telecom Service Provider in India transformed its SOC operations using DGSense’s intelligent analytics. It minimized manual threat hunting, improved anomaly detection, and ensured regulatory compliance. The result was continuous monitoring and proactive risk mitigation. 

 
 
 
 
 
 
78%

Faster Incident Response

 
 
85%

Threat Detection Accuracy 

 
 
 
90%

Reduction in Alert Noise 

 
 
 
2x

SecOps Productivity Increase

 
 
 
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Built to accelerate and simplify your security and IT operations workflows.

Intelligent Correlation

Correlate events across multiple systems to reduce noise and detect advanced attacks.

 
 
Compliance Management

Track SLAs and security regulations with automated data retention and audit logging.

 
 
 
Behavioral Analytics

Automatically identify insider threats and behavioral anomalies using AI/ML models (UEBA). 

 
 
 
Observability & APM

Monitor logs, metrics, and traces to ensure application performance and health.

 
 
 
Proactive Threat Hunting

Identify security risks early through continuous data streaming and threat intelligence.

 
 
 
SOAR Automation

Automate incident response workflows and playbooks to enhance speed and scalability.

 
 
 

Frequently Asked Questions

Ready to scale your business? 
Let’s talk about your current setup and see how DGSense can simplify your operations.

 
 
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What types of data can DGSense process?

DGSense ingests logs, metrics, traces, and events from ITSM platforms, firewalls, network devices, endpoints, and core banking applications.

How does DGSense ensure accurate threat detection?

It combines Elastic SIEM, ML-driven User and Entity Behavior Analytics (UEBA), and intelligent event correlation to filter noise and identify genuine anomalies.  

Can DGSense integrate with existing enterprise systems?

Yes, it features seamless native integrations with existing ITSM tools, EDR solutions, and external threat intelligence feeds via robust APIs.  

How does it support regulatory compliance requirements?

It ensures data retention, generates audit-ready logs, and monitors real-time SLA breaches, fulfilling strict financial industry and local governance standards.

What business benefits does DGSense deliver?

It accelerates incident response, minimizes operational noise, strengthens cybersecurity posture, improves IT observability, and drives efficient, scalable automated workflows. 

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