
Vulnerability Management Course
Master every phase of vulnerability management, from asset discovery and risk-based prioritisation to remediation coordination and programme governance. This course gives security practitioners the technical depth and strategic skills to build and operate a high-performing VM programme. Whether you're hardening enterprise infrastructure or leading a security team, you'll leave with frameworks you can apply immediately.
What you will learn:
This course covers the complete vulnerability management lifecycle, including network discovery, authenticated scanning, contextual risk analysis, and remediation planning. You will learn how to configure and tune scanners across cloud, OT, and web application environments, then validate and prioritise findings using threat intelligence and exploit data. The curriculum also addresses cross-team remediation coordination, patch management integration, and workflow automation. You will develop executive-ready reporting skills and build governance structures that keep programmes accountable. Advanced modules cover attack path analysis, continuous exposure management, and AI-driven prioritisation techniques.
How you study in practice Vulnerability Management Course
How you practise Vulnerability Management Course
For companies looking to train their team
With Dedika for businesses, the course includes exercises and examples tailored to your own business and the specific needs of your company.
Course content
8 Chapters • 39 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Vulnerability Management
Foundations of Vulnerability Management
Lesson 1 • Regulatory and Compliance Drivers
Explains how data protection mandates, industry security standards, and audit requirements shape VM programmes. Enables practitioners to align technical work with compliance obligations.
Lesson 2 • The Vulnerability Management Lifecycle
Maps the end-to-end VM process from discovery through remediation and verification. Frames every subsequent chapter within a repeatable operational cycle.
Lesson 3 • Threat Landscape and Attack Taxonomy
Surveys current attacker motivations, techniques, and common vulnerability categories. Grounds risk prioritisation decisions in real-world adversary behaviour.
Lesson 4 • Core Concepts and Terminology
Defines vulnerability, threat, risk, and exploit within a unified framework. Provides the vocabulary needed to communicate precisely throughout the entire course.
Lesson 5 • Building the Business Case for VM
Translates technical risk into financial and operational impact language for executive audiences. Equips practitioners to secure budget and organisational support.
Chapter 2HideHide detailsSee detailsAsset Inventory and Discovery
Asset Inventory and Discovery
Lesson 1 • Managing Dynamic and Ephemeral Assets
Addresses containers, serverless functions, and auto-scaled instances that appear and disappear rapidly. Ensures VM coverage keeps pace with modern infrastructure patterns.
Lesson 2 • Network Discovery Techniques
Teaches active and passive methods for identifying hosts, services, and operating systems. Comprehensive discovery prevents blind spots that attackers can exploit.
Lesson 3 • Asset Management Fundamentals
Covers asset classification, ownership assignment, and inventory data models. Accurate asset data directly determines scan coverage and risk context.
Lesson 4 • Asset Inventory Data Quality
Defines processes for deduplication, normalisation, and continuous reconciliation of inventory records. High data quality is a prerequisite for accurate vulnerability correlation.
Chapter 3HideHide detailsSee detailsVulnerability Scanning Techniques
Vulnerability Scanning Techniques
Lesson 1 • Scanning Specialised Environments
Adapts scanning approaches for cloud infrastructure, operational technology, and web applications. Each environment has unique protocols, constraints, and tooling requirements.
Lesson 2 • Interpreting Raw Scanner Output
Teaches how to read scanner reports, understand severity ratings, and identify false positives. Accurate interpretation is the bridge between raw data and actionable findings.
Lesson 3 • Scan Policy Configuration and Tuning
Guides creation of scan templates, plugin selection, and scheduling strategies. Well-tuned policies reduce noise, improve accuracy, and minimise operational disruption.
Lesson 4 • Authenticated vs. Unauthenticated Scanning
Explains credential management, privilege requirements, and the accuracy gap between scan modes. Authenticated scans yield significantly more complete and actionable findings.
Lesson 5 • Scanning Architecture and Deployment
Covers scanner placement, agent vs. agentless models, and network segmentation considerations. Proper architecture ensures complete coverage without disrupting production systems.
Chapter 4HideHide detailsSee detailsVulnerability Assessment and Analysis
Vulnerability Assessment and Analysis
Lesson 1 • Exploit Intelligence and Threat Context
Integrates threat intelligence feeds, exploit databases, and active exploitation data into analysis. Knowing whether an exploit is weaponised dramatically changes remediation urgency.
Lesson 2 • Contextual Risk Analysis
Adds asset criticality, network exposure, and compensating controls to raw scores for true risk assessment. Context transforms a generic severity into an organisation-specific priority.
Lesson 3 • Root Cause and Systemic Analysis
Identifies underlying causes such as missing patch processes, insecure defaults, or configuration drift. Systemic fixes prevent entire classes of vulnerabilities from recurring.
Lesson 4 • Scoring Systems and Metrics
Explains industry-standard scoring frameworks and their components, limitations, and correct application. Scoring provides a consistent baseline for comparing vulnerability severity.
Lesson 5 • Vulnerability Validation Methods
Covers manual verification techniques to confirm scanner findings and eliminate false positives. Validated findings drive accurate prioritisation and credible reporting.
Chapter 5HideHide detailsSee detailsRisk-Based Prioritisation
Risk-Based Prioritisation
Lesson 1 • Communicating Priorities to Stakeholders
Translates prioritised vulnerability lists into clear, actionable guidance for technical and executive audiences. Effective communication accelerates remediation decisions and resource allocation.
Lesson 2 • SLA Definition and Tracking
Establishes remediation service-level agreements by severity tier and tracks compliance over time. SLAs create accountability and measurable performance targets for remediation teams.
Lesson 3 • Prioritisation Frameworks and Models
Surveys established prioritisation methodologies and their underlying logic. Selecting the right model aligns remediation effort with the organisation's specific risk profile.
Lesson 4 • Business Context and Impact Mapping
Maps vulnerabilities to business processes, revenue streams, and critical data to quantify potential impact. Business context ensures technical priorities reflect what matters most to the organisation.
Lesson 5 • Threat Intelligence-Driven Prioritisation
Uses active exploitation data, adversary targeting, and campaign intelligence to elevate high-urgency items. Intelligence-driven prioritisation focuses effort on vulnerabilities attackers are actively using.
Chapter 6HideHide detailsSee detailsRemediation Planning and Execution
Remediation Planning and Execution
Lesson 1 • Cross-Team Remediation Coordination
Establishes workflows for assigning, tracking, and escalating remediation tasks across IT, DevOps, and business teams. Coordination prevents remediation bottlenecks and ownership gaps.
Lesson 2 • Patch Management Integration
Connects VM findings to patch management pipelines for automated and manual deployment workflows. Tight integration reduces the time between vulnerability identification and patch deployment.
Lesson 3 • Configuration Hardening and Baseline Management
Uses security configuration benchmarks to eliminate vulnerability classes through hardened baselines. Hardening reduces attack surface systematically rather than addressing individual findings.
Lesson 4 • Remediation Options and Trade-offs
Compares patching, configuration changes, compensating controls, and risk acceptance as remediation strategies. Choosing the right option balances risk reduction against operational and resource constraints.
Lesson 5 • Remediation Verification and Closure
Validates that applied fixes actually eliminate the vulnerability through rescanning and manual confirmation. Verification closes the VM lifecycle loop and prevents false closure of findings.
Chapter 7HideHide detailsSee detailsVulnerability Management Programme Operations
Vulnerability Management Programme Operations
Lesson 1 • Programme Maturity Assessment and Improvement
Uses maturity models to benchmark current capabilities and build a roadmap for programme advancement. Structured improvement cycles move programmes from reactive to proactive postures.
Lesson 2 • Workflow Automation and Orchestration
Applies automation to scan scheduling, finding ingestion, ticket creation, and status updates. Automation scales VM operations without proportional headcount increases.
Lesson 3 • Tooling Selection and Integration
Guides evaluation and selection of VM platforms, scanners, and supporting tools. Integrated tooling reduces manual effort and improves data consistency across the programme.
Lesson 4 • Metrics, Reporting, and Dashboards
Defines key metrics, builds dashboards, and establishes reporting cadences for operational and executive audiences. Metrics demonstrate programme value and guide continuous improvement.
Lesson 5 • Programme Governance and Policy
Defines the policy framework, roles, and decision rights that govern the VM programme. Clear governance ensures consistent execution and executive accountability.
Chapter 8HideHide detailsSee detailsAdvanced VM Strategies and Measurement
Advanced VM Strategies and Measurement
Lesson 1 • Benchmarking and Peer Comparison
Uses industry benchmarks and peer data to contextualise programme performance and set improvement targets. Benchmarking identifies gaps and builds credibility with executive stakeholders.
Lesson 2 • Strategic Programme Roadmapping
Builds multi-year VM programme roadmaps aligned to organisational risk appetite and business strategy. Strategic roadmaps secure sustained investment and guide capability development.
Lesson 3 • Quantitative Risk Measurement
Applies probabilistic and financial models to express vulnerability risk in monetary terms. Quantitative measurement enables cost-benefit analysis and executive-level risk decisions.
Lesson 4 • Continuous and Automated Exposure Management
Shifts VM from periodic scanning to continuous monitoring of exposure across the full attack surface. Continuous exposure management detects new risks within hours rather than weeks.
Lesson 5 • Attack Path and Exposure Analysis
Models how attackers chain vulnerabilities across assets to reach high-value targets. Attack path analysis reveals critical chokepoints that deliver outsized risk reduction when remediated.
Your valid completion certificate
This course is for you:
Security analysts: ready to move beyond reactive patching into structured risk programmes.
IT administrators: managing infrastructure who need formal vulnerability oversight skills.
Penetration testers: wanting to understand the defender's full operational workflow.
Compliance officers: responsible for audit readiness who need technical VM fluency.
DevOps engineers: embedding security into pipelines and seeking systematic vulnerability practices.
Career changers: entering cybersecurity from IT support or networking backgrounds.
What our students say
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