Secops

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🛡️ Complete ServiceNow Security Operations (SecOps) Course — Beginner to Advanced with AI Integration

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🔰 MODULE 1: Introduction to ServiceNow SecOps

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🔎 What is SecOps?

Security Operations (SecOps) is the collaboration between IT security and IT operations teams to detect, respond to, and resolve cybersecurity threats faster and more efficiently. It leverages the ServiceNow platform to automate, integrate, and orchestrate security workflows.

🧠 Why Use SecOps in ServiceNow?

• Centralizes security operations

• Links vulnerabilities/incidents to CI items in CMDB

• Speeds up detection and remediation using automation

• AI improves decision-making, triage, and prioritization

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🔐 MODULE 2: Core Components of SecOps

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2.1 🔸 Security Incident Response (SIR)

🔹 Definition:

Handles and investigates security-related incidents, integrating with SIEMs (Splunk, QRadar) to receive alerts, categorize them, and assign tasks.

🔹 Lifecycle:

1. Detection – Alert received from SIEM

2. Analysis – Indicators extracted (malicious IPs, files)

3. Triage – Severity and impact assessed

4. Response – Mitigation actions taken

5. Closure – Review, documentation, and learning

🔹 Key Tables:

Table Name	Purpose
sn_si_incident	Main security incident record
sn_si_indicator	Tracks observables (IP, hashes)
task	Shared base table for all incidents
cmdb_ci	Links to affected CI or asset

🔹 AI Use Cases:

• Predictive Intelligence: Classifies new incidents (e.g., Malware, Phishing)

• Smart Assignment: AI routes incident to best team based on historical success

• NLP: Understands summary of logs and detects threat context

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2.2 🔸 Vulnerability Response (VR)

🔹 Definition:

Manages detection, analysis, and remediation of system vulnerabilities using data from tools like Tenable, Qualys, or Rapid7.

🔹 Lifecycle:

1. Ingest CVEs

2. Analyze affected assets (via CMDB)

3. Prioritize risks

4. Generate remediation tasks

5. Verify resolution

🔹 Key Tables:

Table Name	Purpose
sn_vul_vulnerability	Tracks CVE entries
sn_vul_plugin_result	Raw data from scanners
sn_vul_remediation_task	Tracks remediation actions
cmdb_ci	Identifies affected assets

🔹 AI Use Cases:

• Auto-risk scoring: CVSS + Asset importance

• Intelligent grouping: AI groups vulnerabilities by similarity

• Auto-remediation: Uses Flow Designer or Orchestration

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2.3 🔸 Threat Intelligence (TI)

🔹 Definition:

Connects threat feeds (STIX/TAXII) to your environment to enrich incidents with contextual information (IP reputation, malware behavior).

🔹 Key Tables:

Table Name	Purpose
sn_ti_indicator	Stores threat indicators
sn_ti_observable	Specific objects like IPs, URLs
sn_ti_context	Additional info: severity, confidence

🔹 AI Use Cases:

• Suggests actions based on historical matches

• Auto-enriches incidents with threat data using NLP summary

• Predicts related threats based on behavior patterns

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2.4 🔸 Configuration Compliance (CC)

🔹 Definition:

Checks compliance of systems against defined security policies. It compares the current state of configurations to baseline policies.

🔹 Key Tables:

Table Name	Purpose
sn_compliance_policy	Stores policies (CIS, NIST)
sn_compliance_result	Result of config checks

🔹 AI Use Cases:

• Suggest policies based on historical system type

• Detect recurring policy violations

• Predict compliance risk

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2.5 🔸 MITRE ATT&CK Integration

🔹 Definition:

MITRE framework maps threats to techniques and tactics used by attackers. ServiceNow supports visual mapping to incident types.

🔹 Tables:

Table Name	Purpose
sn_attack_matrix	Stores MITRE techniques
sn_attack_mapping	Maps incidents to techniques

🔹 AI Use Cases:

• Suggest matching TTPs based on log content

• Build threat behavior profiles using clustering

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🤖 MODULE 3: AI + Automation in SecOps

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3.1 🔸 Predictive Intelligence

• Trains ML models using historical data

• Used to classify, assign, or prioritize records

• Example: “Phishing” vs “Malware” based on subject, source, body

3.2 🔸 Virtual Agent for SecOps

• Use NLU (Natural Language Understanding) to:

  • Report security issue

  • Ask for vulnerability status

  • Run simple remediations (disable access, isolate host)

3.3 🔸 Flow Designer

• Build response playbooks (no code)

• Example: “If malware → isolate host → notify team”

3.4 🔸 Auto Remediation

• Uses Orchestration, PowerShell, or REST APIs to run:

  • Quarantine machines

  • Reset passwords

  • Patch systems

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🔄 MODULE 4: Integrations and Automation

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SIEM Tools:

Tool	Purpose
Splunk	Logs, alerts
QRadar	Detects threats

Vulnerability Scanners:

Tool	Purpose
Tenable	CVE detection
Qualys	Vulnerability scanning
Rapid7	Asset exposure scanning

Threat Feeds:

Platform	Integration
TAXII	Pull threat indicators
Recorded Future	Context enrichment

Endpoint Protection:

• CrowdStrike

• Carbon Black

CMDB Integration:

• Pulls CI relationships

• Impact analysis (business criticality)

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📊 MODULE 5: Dashboards, KPIs, and Reporting

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Dashboards:

• Executive SecOps dashboard

• Security posture overview

• Vulnerability heatmaps

KPIs:

KPI	Description
MTTR	Mean time to resolve
MTTD	Mean time to detect
SLA Breaches	Missed remediation deadlines

AI Reports:

• Predict risk exposure over next 30 days

• Suggested remediation forecasts

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💼 MODULE 6: Real Projects and Use Cases

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Project 1: Malware Incident Auto-Triage

• Input: Splunk Alert

• Flow: Auto-create SIR → Enrich IP → AI-based classification

Project 2: AI-Driven Vulnerability Remediation

• Input: CVE feed from Tenable

• Flow: Auto-risk scoring → Prioritize based on criticality → Assign to team

Project 3: Predictive Assignment of Incidents

• Trains ML on past 1 year data

• Output: Smart Assignment to best team

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🏆 MODULE 7: Certification Prep & Interview

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Certifications:

• Certified Implementation Specialist – Security Operations

  • Covers SIR, VR, TI, Compliance, Orchestration

Interview Topics:

• How to integrate with Splunk

• Explain AI usage in Security Incident Assignment

• Use cases for Flow Designer in SecOps

• AI vs Rule-based automation

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✅ Conclusion

By finishing this course, you will:

• Be capable of implementing and managing full SecOps in ServiceNow

• Integrate with leading security tools

• Use AI to drive intelligent SecOps workflows

• Be ready for job roles like: Security Automation Engineer, SecOps Consultant, Cybersecurity Analyst (ServiceNow).