Sherlocked Security – SIEM-Backed MDR

Comprehensive Managed Detection and Response (MDR) powered by SIEM (Security Information and Event Management) systems to provide advanced threat detection, real-time monitoring, and rapid incident response.

1. Statement of Work (SOW)

Service Name: SIEM-Backed MDR
Client Type: Organizations needing enhanced threat detection and incident response via a SIEM-driven approach
Service Model: Managed service leveraging SIEM platforms to provide continuous monitoring, detection, and automated incident response
Compliance Alignment: ISO 27001, SOC 2, PCI-DSS, HIPAA, GDPR, NIST CSF

Scope Includes:

Deployment and configuration of SIEM solutions (Splunk, QRadar, LogRhythm, etc.)
24×7 monitoring of logs and security events
Real-time detection of suspicious activities and threats
Automated and manual incident response triggered through SIEM alerts
Regular updates and fine-tuning of detection rules and correlation models
Continuous threat intelligence feeds integration
Incident analysis, investigation, and reporting

2. Our Approach

[SIEM Integration] → [Continuous Monitoring] → [Threat Detection] → [Incident Response] → [Reporting & Improvement]

SIEM Integration: We integrate your existing SIEM solution with advanced detection and response capabilities
Continuous Monitoring: Constant 24×7 surveillance of network activity, endpoints, and servers
Threat Detection: Real-time identification of anomalous behavior, indicators of compromise (IOCs), and advanced persistent threats (APTs)
Incident Response: Automated playbooks or manual intervention to mitigate and resolve detected incidents
Reporting & Improvement: Post-incident reporting and continuous optimization of detection capabilities and response workflows

3. Methodology

SIEM Configuration: We begin with configuring your SIEM to collect, normalize, and analyze log data from critical security systems, networks, and endpoints.
Custom Detection Rules: We design and implement custom detection rules in your SIEM to address your specific threat landscape and business needs.
Threat Intelligence Integration: External threat intelligence feeds (e.g., MISP, IBM X-Force) are integrated to enhance detection capabilities and stay ahead of emerging threats.
Real-Time Monitoring & Correlation: Continuous analysis of event logs and network traffic to identify unusual patterns and correlate events across different sources.
Incident Response & Automation: When a potential threat is identified, automated playbooks or manual response procedures are triggered to mitigate the incident and contain the threat.
Optimization & Tuning: Regular optimization of rules and response playbooks to reduce false positives and enhance detection accuracy.
Reporting & Metrics: Providing actionable insights on incidents, response times, and the effectiveness of the MDR service.

4. Deliverables

SIEM Configuration & Integration: Configured and fully integrated SIEM with your IT infrastructure and security tools (e.g., EDR, IDS/IPS, firewalls).
Custom Detection Rules: Tailored detection rules in your SIEM that are designed to identify specific threats relevant to your organization.
Incident Response Playbooks: Automated or manual incident response workflows to guide the team through threat containment, investigation, and resolution.
Continuous Monitoring & Alerts: 24×7 monitoring and real-time alerts for security incidents and potential threats.
Reporting: Detailed reports on incidents, detection accuracy, false positives, and recommendations for future optimization.
Optimization: Continuous tuning and refinement of rules, alerts, and playbooks to adapt to new threats and improve response times.

5. Client Requirements

Existing SIEM Solution: A pre-existing SIEM platform (e.g., Splunk, QRadar, LogRhythm) or the willingness to implement one
Access to Security Data: Logs from network devices, endpoints, applications, servers, and other critical infrastructure
Security Policies: Defined incident response and security policies to guide rule and playbook creation
Threat Intelligence Feeds: Access to current threat intelligence data to improve detection capabilities
Collaboration with SOC: Collaboration between the client’s internal security team and the managed security provider for incident escalation and resolution
Incident Data: Historical incident data to help identify recurring threats and optimize detection rules

6. Tooling Stack

SIEM Platforms: Splunk, QRadar, LogRhythm, Sumo Logic, ELK
Endpoint Detection & Response (EDR): CrowdStrike, SentinelOne, Carbon Black
Security Orchestration, Automation, and Response (SOAR): Cortex XSOAR, D3 Security, Swimlane
Threat Intelligence Feeds: MISP, IBM X-Force, ThreatConnect
Network Detection & Response (NDR): Darktrace, Vectra AI, ExtraHop

7. Engagement Lifecycle

Discovery & Planning: Understanding your current infrastructure, threat landscape, and business goals.
SIEM Integration: Setting up and integrating your SIEM platform with relevant data sources.
Detection Rule Customization: Tailoring detection rules to meet the specific needs of your environment.
Incident Response Playbook Design: Creating automated playbooks to streamline incident response and containment.
Testing & Validation: Ensuring that rules and playbooks are functioning as expected in a real-world environment.
Ongoing Monitoring & Optimization: Continuous monitoring, tuning of detection rules, and optimization of response workflows.
Reporting & Review: Regular reporting and reviews to assess the effectiveness of the MDR service.

8. Why Sherlocked Security?

Feature	Sherlocked Advantage
SIEM-Backed Detection	Leverage your existing SIEM platform to enhance threat detection and visibility
24×7 Managed Monitoring	Around-the-clock monitoring to identify and respond to security incidents instantly
Custom Rule Development	Tailored detection rules to address your specific environment and threat vectors
Automated Incident Response	Response playbooks that automatically initiate actions to mitigate threats
Comprehensive Reporting	Detailed incident reports and actionable insights to improve security posture
Scalable & Flexible	Our solutions scale with your business needs, ensuring flexibility and effectiveness
Continuous Optimization	Ongoing improvement of detection capabilities and response processes to stay ahead of emerging threats

9. Use Cases

Use Case 1: Advanced Persistent Threat (APT) Detection

Alert: A suspicious external connection is detected from a known IP address associated with threat actor activity.
Custom Rule: A custom rule in the SIEM identifies any outbound connections to this IP address and flags it as suspicious.
Playbook: An automated playbook is triggered, isolating the affected systems, alerting the SOC, and initiating a detailed investigation.
Escalation: The SOC team escalates the investigation, looking for signs of deeper compromise and lateral movement.
Resolution: The threat is identified as an APT, and containment measures are enacted to remove the threat from the network.
Reporting: Incident report provides a detailed overview of the attack, the response actions, and recommendations for enhancing detection capabilities.

Use Case 2: Insider Threat Detection

Alert: Unusual login times and access to sensitive data by an employee are detected via the SIEM system.
Custom Rule: A rule in the SIEM flags abnormal behavior patterns based on employee role, access rights, and time of access.
Playbook: The playbook automatically alerts the SOC, locks the user account, and initiates an investigation into the suspicious activity.
Escalation: Upon confirming the incident, the SOC team initiates a deeper forensic investigation to determine intent and impact.
Resolution: The threat is neutralized, and user access rights are reviewed and updated.
Reporting: Detailed report highlights the detection process, response actions, and future prevention strategies.

10. SIEM-Backed MDR Readiness & Ops Checklist

SIEM Integration

[ ] Ensure the SIEM system is correctly configured to ingest logs from critical network, endpoint, and server systems.
[ ] Integrate threat intelligence feeds for real-time detection of new attack vectors.
[ ] Configure and fine-tune SIEM rules and correlation models to reflect the organization’s risk profile.

Custom Detection Rules

[ ] Develop tailored detection rules based on the specific attack vectors, assets, and data critical to the organization.
[ ] Test and validate the custom rules in a controlled environment to ensure they function correctly without generating false positives.
[ ] Continuously refine and optimize detection rules to adapt to evolving threats and attack techniques.

Incident Response Playbooks

[ ] Create automated response playbooks for common security incidents (e.g., malware outbreaks, DDoS attacks, unauthorized access).
[ ] Ensure playbooks include clear escalation procedures, containment actions, and remediation steps.
[ ] Regularly review and update playbooks to reflect new threats and response strategies.

Continuous Monitoring

[ ] Monitor security alerts in real-time and ensure quick investigation and response to suspicious activities.
[ ] Maintain 24×7 security operations coverage to detect and respond to incidents promptly.
[ ] Provide periodic analysis and reporting on rule performance, detection accuracy, and incident response efficiency.

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SIEM-Backed MDR