Endpoint Threat Detection
and Management
Endpoint threat detection, AI-driven threat hunting, and structured forensic investigation for enterprise environments.
Incidents Are Inevitable.
Chaos Isn't.
Playbooks, triage protocols, and forensic response—ready before alerts fire.
Responding to Threats in an Environment Built for Speed, Not Resilience
Most organizations have a detection gap not because they lack security tools, but because those tools are not actively monitored and their response plans have never been tested. Threats today, be it ransomware, advanced persistent threats, insider incidents are designed to dwell undetected, and by the time they surface, containment is significantly harder. Regulatory obligations under GDPR, NCA, UAE NESA, and SAMA CSF then impose strict timelines for notification and remediation that organizations without structured response capability consistently struggle to meet.
Hangul’s Approach to Incident Response
Hangul’s Incident Response Services combine continuous managed detection, AI-driven threat hunting, and structured forensic investigation is delivered through SentinelOne Singularity EDR and covers the full incident lifecycle from preparedness through active response, containment, and post-incident improvement. Whether the need is a fully managed detection service, specialist forensic investigation, or preparedness support, Hangul provides the capability to respond effectively.
Comprehensive Incident Response Services
1
Endpoint Detection & Response (EDR)
Continuous endpoint monitoring and response, delivered around the clock.
- Endpoint threat detection and protection
- Powered by SentinelOne Singularity EDR — one of the leading endpoint detection platforms
- Continuous visibility across endpoints, workloads, and cloud environments
- Rapid containment and automated response to active threats
- Regular threat reporting and security posture updates
- Continual enhancements
2
Advanced Threat
Hunting
- Proactive hunting for known and unknown threats across the environment
- Behavioral AI technology to detect anomalous activity and attacker techniques
- Identification of indicators of compromise (IOCs) and tactics, techniques, and procedures (TTPs)
- Malware reverse-engineering to understand attack scope and origin
- Threat intelligence integration from real-world engagement data
3
AI-Driven Threat Detection & Automation
- AI-powered detection enhanced by intelligence from thousands of real-world engagements
- Hundreds of custom detection rules operating autonomously within seconds of trigger
- Automated kill, quarantine, and rollback for zero-day attacks
- Reduction in mean time to detect (MTTD) and mean time to respond (MTTR)
- Continuous tuning of detection models based on emerging threat patterns
4
Digital Forensics &
Incident Response (DFIR)
- Rapid remote and on-site investigation and containment capabilities
- AI-driven forensics to identify attack vectors, scope, and impact
- Evidence preservation and chain-of-custody management
- Post-incident root cause analysis and improvement recommendations
- Support for regulatory notification and reporting obligations
5
Cloud-Ready & Locally
Hosted Deployment
- Support for hybrid and cloud environments across AWS, Azure, and Google Cloud
- SentinelOne on GCP Cloud with KSA-hosted deployment for data residency compliance
- Flexible deployment models for on-premise, cloud, and mixed environments
- Compliance with regional data sovereignty and security requirements
- Scalable architecture designed to grow with the organization
6
Incident Preparedness
& Retainer Services
- Incident response retainer agreements for priority access during active incidents
- Tabletop exercises and breach simulation to test response readiness
- Incident response plan development and review
- Playbook design for common attack scenarios
- Post-exercise gap analysis and remediation recommendations
Continuous endpoint monitoring and response, delivered around the clock.
- Endpoint threat detection and protection
- Powered by SentinelOne Singularity EDR — one of the leading endpoint detection platforms
- Continuous visibility across endpoints, workloads, and cloud environments
- Rapid containment and automated response to active threats
- Regular threat reporting and security posture updates
- Continual enhancements
Proactive identification of threats that have not yet triggered an alert.
- Proactive hunting for known and unknown threats across the environment
- Behavioral AI technology to detect anomalous activity and attacker techniques
- Identification of indicators of compromise (IOCs) and tactics, techniques, and procedures (TTPs)
- Malware reverse-engineering to understand attack scope and origin
- Threat intelligence integration from real-world engagement data
Accelerating detection and response through intelligent automation.
- AI-powered detection enhanced by intelligence from thousands of real-world engagements
- Hundreds of custom detection rules operating autonomously within seconds of trigger
- Automated kill, quarantine, and rollback for zero-day attacks
- Reduction in mean time to detect (MTTD) and mean time to respond (MTTR)
- Continuous tuning of detection models based on emerging threat patterns
Structured investigation and recovery when an incident has already occurred.
- Rapid remote and on-site investigation and containment capabilities
- AI-driven forensics to identify attack vectors, scope, and impact
- Evidence preservation and chain-of-custody management
- Post-incident root cause analysis and improvement recommendations
- Support for regulatory notification and reporting obligations
Deployment models designed for hybrid environments and data residency requirements.
- Support for hybrid and cloud environments across AWS, Azure, and Google Cloud
- SentinelOne on GCP Cloud with KSA-hosted deployment for data residency compliance
- Flexible deployment models for on-premise, cloud, and mixed environments
- Compliance with regional data sovereignty and security requirements
- Scalable architecture designed to grow with the organization
Building response capability before it is needed.
- Incident response retainer agreements for priority access during active incidents
- Tabletop exercises and breach simulation to test response readiness
- Incident response plan development and review
- Playbook design for common attack scenarios
- Post-exercise gap analysis and remediation recommendations
What Effective Incident
Response Delivers
Continuous Protection
Endpoint threat detection and active coverage across the environment at all times.
Faster Detection and Response
AI-driven detection and automated containment reduce the time between compromise and control, limiting operational and financial impact.
Reduced Incident Impact
Structured investigation, rapid containment, and tested recovery processes minimize business disruption when incidents occur.
Compliance-Ready Operations
Locally hosted deployment options, audit trails, and regulatory reporting support help organizations meet data residency and incident notification requirements.
A Structured Response Capability
Across the Full Incident Lifecycle
- DISCOVER
- DESIGN
- IMPLEMENT
- OPERATE & OPTIMIZE
Build Response Readiness Before an Incident Occurs
We work with organizations to establish the detection capabilities, plans, and playbooks that determine how quickly and effectively they respond when something goes wrong.
- Current-state detection and response capability assessment
- Incident response plan development and gap review
- Playbook design for ransomware, data breach, insider threat, and other high-priority scenarios
- SentinelOne MDR deployment and configuration
- Tabletop exercises and response readiness testing
Identify Threats Rapidly Across the Environment
Continuous monitoring, behavioral AI, and active threat hunting work together to identify threats, including those that bypass traditional signature-based detection.
- 24/7/365 endpoint monitoring through SentinelOne Singularity EDR
- Behavioral AI detection of known and unknown threat patterns
- Active threat hunting across endpoints, cloud workloads, and identity systems
- Custom detection rules aligned to the organization’s environment and risk profile
- Real-time alerting with automated triage and prioritization
Contain, Investigate, and Recover
Hangul’s response capability combines automated containment with expert-led investigation to minimize disruption and business impact.
- Automated kill, quarantine, and rollback for active threats
- Rapid remote and on-site DFIR investigation and containment
- Evidence preservation and forensic analysis of attack scope and origin
- Coordination with internal teams, legal counsel, and regulatory bodies as required
- Restoration of affected systems and verification of environment integrity
Strengthen Defences Based on What Was Learned
Every incident and every near-miss carries information about gaps in detection, controls, and response processes. Hangul supports post-incident analysis and systematic improvement.
- Post-incident root cause analysis and lessons learned review
- Control gap identification and remediation planning
- Detection rule and playbook updates based on incident findings
- Regulatory reporting support where notification obligations applY
- Ongoing governance reporting on security posture and incident trends
Build the Response Capability
Your Environment Requires
Connect with Hangul to assess your current detection and response capability, identify gaps in coverage and preparedness, and design a managed service model that provides the protection your organization needs.
FAQs
What is the difference between SentinelOne EDR and traditional endpoint security?
What is SentinelOne Singularity EDR and why is it used for enterprise MDR?
Can managed detection and response services be deployed to meet data residency requirements?
What does a DFIR engagement involve?
What is an incident response retainer and how does it work?
How long does incident response typically take?
FAQs
Traditional endpoint security relies on signature-based detection and automated responses configured at deployment. SentinelOne EDR adds continuous human and AI-driven monitoring, active threat hunting, and managed investigation and response — providing broader coverage across known and unknown threats, with expert oversight rather than purely automated action.
SentinelOne Singularity EDR is a leading enterprise endpoint detection and response platform combining behavioral AI for known and unknown threat detection, automated response actions including kill, quarantine, and rollback, and patented threat hunting technology. Its combination of autonomous detection speed and managed investigation capability makes it a strong foundation for minimizing MTTD and MTTR.
Yes. MDR services can be structured for data residency requirements through locally hosted or on-premises deployment models. For Saudi Arabian requirements, SentinelOne can be deployed on GCP Cloud with KSA-hosted infrastructure — keeping endpoint telemetry within the Kingdom. Hybrid and on-premises models are available for UAE, GCC, and other regional obligations.
A DFIR engagement covers rapid investigation to establish incident scope, origin, and timeline; evidence preservation with chain-of-custody management; containment and recovery support; and post-incident root cause analysis. For organizations with regulatory notification obligations — including GDPR’s 72-hour window and equivalent SAMA CSF and UAE NESA timelines — DFIR engagements include regulatory notification support.
An incident response retainer guarantees priority access to a dedicated response team in the event of a breach. Organizations on retainer receive defined response time commitments, pre-scoped engagement terms, and access to preparedness activities including tabletop exercises. The primary advantage is speed — investigation and containment begins immediately, without scoping or onboarding a new provider.
Initial containment for an active incident can typically begin within hours of engagement. Full investigation and recovery ranges from a few days for contained incidents to several weeks for large-scale breaches or APT scenarios. The single biggest factor affecting timeline is dwell time — incidents detected early are significantly faster to investigate and contain.