ARMIS PLAYBOOK
Mastering Unified Vulnerability Management (UVM)
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Introduction to Unified Vulnerability Management
Unified Vulnerability Management (UVM) is a comprehensive, integrated approach to identifying, assessing, contextualizing, prioritizing, and remediating vulnerabilities across an organization’s entire attack surface.
Back of the Napkin Math
MTTR
Cybersecurity Threats (General):
1 to 5 hours (for initial response), but full resolution can take days or weeks.
Incident Response (SOC Teams): The median MTTR for security incidents is typically between
6 and 48 hours, depending on the severity.
Ransomware Attacks:
21 days on average for full remediation.
Vulnerability Patching: Critical vulnerabilities have an average MTTR of
60-150 days, depending on prioritization.
Cloud Security Breaches:
24 to 72 hours for initial containment, but weeks for full mitigation.
Cornerstones of Unified Vulnerability Management (UVM)
- Holistic Asset Coverage – Identifies and manages vulnerabilities across IT, OT, IoT, cloud, and external attack surfaces.
- Risk-Based Prioritization – Uses threat intelligence, exploitability data, and business context to rank vulnerabilities based on risk.
- Continuous Monitoring & Assessment – Moves beyond periodic scanning to real-time or near-real-time assessment of vulnerabilities.
- Integration with Security & IT Workflows – Connects with Security Information and Event Management (SIEM), Security Orchestration, Automation, and Response (SOAR), IT Service Management (ITSM), and patch management solutions.
- Automated Remediation & Response – Enables autopatching, configuration changes, or compensating controls based on vulnerability severity.
- External Attack Surface Management (EASM) Integration – Helps discover and secure internet-facing assets and shadow IT vulnerabilities.
- Compliance & Reporting – Provides dashboards and reporting for regulatory frameworks like NIST, ISO 27001, and GDPR.
This Is Not Your Father’s RBVM
Overwhelmed Remediation Teams
Traditional Vulnerability Management | |
---|---|
1. | SCOPE |
IT-focused (endpoints, servers) | |
2. | ASSESSMENT TYPE |
Periodic scanning | |
3. | PRIORITIZATION |
CVSS-based | |
4. | REMEDIATION |
Manual, ticket-based | |
5. | COVERAGE |
Internal network |
Unified Vulnerability Management | |
---|---|
1. | SCOPE |
IT, OT, IoT, cloud, EAS | |
2. | ASSESSMENT TYPE |
Continuous monitoring | |
3. | PRIORITIZATION |
Risk-based (threat intel, exploitability, business impact) | |
4. | REMEDIATION |
Automated workflows & SOAR integration | |
5. | COVERAGE |
Internal + external attack surface |
Strategic Adoption Phases
Developing a Playbook for Response
A well-crafted playbook for response is crucial for ensuring consistency and effectiveness in handling security incidents. This playbook should outline specific procedures for different types of threats, providing a step-by-step guide that staff can follow during an incident.
The playbook should be tailored to the unique aspects of the organization looking to adopt UVM, reflecting the specific technologies, processes, and personnel involved.
Key elements of a response playbook include:
- Where we are today and why legacy VM is no longer fit for purpose
- Key elements for UVM and the steps to develop your playbook
- Strategic considerations and implementation phase recommendations
- Translating your strategy to action
- Checklist to get operational
Did You Know
There were over
68,000 published CVEs last year which is the most in any single year.
This does not include other
vulnerabilities that have yet to be discovered, or other security issues that may cause a vuln such as an access or misconfiguration issue.
Strategic Considerations
Phase 1 Assessment & Strategic Planning
- Define Business Objectives & Risk Tolerance
- Map Your Attack Surface
- Establish Governance & Compliance Alignment
Phase 2 Technology Selection & Deployment
- Choose a Unified Vulnerability Management Platform
- Deploy & Integrate with Existing Security Stack
Phase 3 Continuous Discovery & Risk-Based Prioritization
- Enable Real-Time Asset & Vulnerability Visibility
- Threat Intelligence & Risk Contextualization
- Prioritize The Vulns That Matter
Phase 4 Automated Remediation & Risk Mitigation
- Establish Cyber Threat Exposure Management (CTEM) Practices
- Measure, Report & Optimize Performance
Phase 5 Continuous Exposure Management & Optimization
- Establish Cyber Threat Exposure Management (CTEM) Practices
- Measure, Report & Optimize Performance
Did You Know
60%
cyberattacks exploit known but unpatched vulnerabilities
Strategy Into Action
Assess & Plan
Why it Matters
Organizations must understand their risk landscape before implementing an effective UVM program. Without proper planning, efforts may be misaligned with business needs, compliance requirements, or existing security processes—leading to gaps in coverage, inefficiencies, and increased cyber risk.
Key Principles
- Comprehensive Scope – Cover all assets—IT, OT, IoT; virtual and cloud—to avoid blind spots.
- Stakeholder Engagement – Align security, operational, compliance, and executive teams for a unified approach.
- Risk-Based Approach – Prioritize actions based on business impact and threat exposure.
- Regulatory Alignment – Ensure compliance with industry regulations and security frameworks.
Strategic Steps
01. Define Scope & Objectives
- Identify assets across IT, OT, virtual, logical, and cloud environments.
- Establish clear KPIs e.g., reduced mean time to remediate (MTTR), increased risk visibility.
02. Stakeholder Alignment
- Identify key teams and decision-makers.
- Establish communication channels for ongoing collaboration.
03. Risk Assessment
- Evaluate current security maturity (gap analysis).
- Identify high-risk assets and business-critical systems.
04. Compliance & Regulatory Mapping
- Map existing processes to frameworks like NIST, CIS, and ISO 27001.
- Identify gaps in audit and reporting capabilities.
3 “Dig Deeper” Resources
Asset Discovery & Inventory
Why it Matters
An organization cannot protect what it cannot see. Many security breaches occur because organizations are unaware of shadow IT, ephemeral or unmanaged devices, or misconfigured assets.
Key Principles
- Real-Time Asset Visibility – Continuous discovery is necessary to detect new, transient, or rogue devices.
- Context Matters – Asset classification should differentiate critical vs. non-essential systems.
- Automation – Manual asset tracking is not scalable—automated tools are required.
Strategic Steps
01. Automated Asset Discovery
- Deploy discovery tools for full visibility and contextual analysis.
- Integrate discovery tools with IT, OT, and IoT both physical and virtual.
02. Continuous Inventory Management
- Maintain an always-updated asset database.
- Use AI-driven analytics to detect and classify new assets dynamically.
03. Contextual Asset Classification
- Categorize assets by business impact, network segmentation, and operational role.
- Map assets to critical applications and dependencies to understand attack paths.
Vulnerability Detection & Prioritization
Why it Matters
Not all vulnerabilities pose the same level of risk. Traditional approaches that focus on CVSS scores alone fail to address exploitability, asset criticality, and real-world attack potential.
Key Principles
- Continuous Monitoring – One-time scans are insufficient—vulnerability detection must be ongoing.
- Threat Intelligence Integration – Real-time exploit intelligence improves prioritization.
- Risk-Based Decision-Making – Focus remediation efforts on high-impact, high-exploitability vulnerabilities.
- Attack Surface Correlation – Combine external and internal risk perspectives.
Strategic Steps
01. Continuous Assessment
- Deploy discovery technology that can provide comprehensive coverage.
- Extend deep situational awareness to virtual & cloud, environments managed and unmanaged assets.
02. Threat Intelligence Integration
- Use real-time feeds to identify active and early warning threats.
- Leverage AI-driven risk scoring to prioritize vulnerabilities based on real-world impact.
03. Risk-Based Prioritization
- Shift from CVSS-based prioritization to an early warning business impact + exploitability model.
- Identify attack vectors, paths and lateral movement opportunities.
04. Attack Surface Correlation
- Use AI-driven analytics to uncover hidden risks.
- Integrate with entire tech stack for a cooperative approach that leverage all of your security elements.
Remediation & Risk Reduction
Why it Matters
Many security programs struggle with remediation due to patching limitations, operational constraints, and lack of coordination between security and IT teams.
Key Principles
- Automation – Reduce manual remediation bottlenecks.
- Alternative Mitigations – Not all vulnerabilities can be patched—use compensating controls where necessary.
- Integration with IT Workflows – Ensure remediation efforts align with IT change management.
- Incident Response Readiness – Address vulnerabilities before they can be exploited.
Strategic Steps
01. Automated Remediation & Patching
- Deploy patches based on business-criticality and risk exposure.
- Use patch automation tools to streamline fixes.
02. Compensating Controls
- Apply network segmentation, firewall rules, and application controls for high-risk vulnerabilities.
03. Workflow Integration
- Connect vulnerability management to ITSM platforms (ServiceNow, JIRA).
- Automate ticket creation and tracking.
04. Incident Response Alignment
- Correlate vulnerability data with threat detection systems.
- Implement automated containment for exploited vulnerabilities.
Validation & Continuous Monitoring
Why it Matters
Patching alone doesn’t guarantee security—organizations must validate fixes, detect new threats in real-time, and continuously refine their defenses.
Key Principles
- Verification – Ensure vulnerabilities are properly remediated.
- Continuous Threat Monitoring – Detect new attack vectors as they emerge.
- Security Testing – Red teaming and attack simulations improve defensive readiness.
- Regulatory Compliance – Automated reporting simplifies audits and governance.
Validation Testing
01. Validation Testing
- Implement automated verification checks to confirm patches are applied correctly.
02. Continuous Exposure Monitoring
- Deploy real-time monitoring for new vulnerabilities.
03. Attack Simulation & Red Teaming
- Conduct penetration testing and adversary simulations to assess resilience.
04. Automated Reporting & Compliance Audits
- Generate real-time dashboards for CISOs, auditors, and regulators.
Optimization & AI-Driven Automation
Why it Matters
Threat actors evolve rapidly. Organizations need AI-driven automation to keep up with emerging risks, evolving vulnerabilities, and increasing attack complexity.
Key Principles
- Dynamic Risk Scoring – AI-driven risk prioritization based on threat context.
- Automated Response – Security teams must act fast; Automation enables instant containment.
- Predictive Threat Hunting – Use AI to identify and mitigate risks before they are exploited.
Strategic Steps
01. Adaptive Risk Scoring
- Use AI and machine learning to dynamically adjust risk assessments.
02. Automated Playbooks
- Leverage SOAR/SIEM and ticketing workflows.
03. Proactive Threat Hunting
- Deploy predictive analytics and early warning technology to uncover
emerging threats.
04. Cross-Platform Integration
- Ensure a unified vulnerability management program across IT, OT, IoT,
logical, virtual, and cloud.

Operational Outcomes
01.
Identification, de-duplication and contextualization of vulnerability, cloud, code and application security findings, providing a centralized view across tools into risk priorities.
02.
Identification, de-duplication and contextualization of vulnerability, cloud, code and application security findings, providing a centralized view across tools into risk prioritiesOperational efficiency gains through grouped findings with a common fix.
03.
Automated ownership assignment via predictive AI and global asset-based rules, with ongoing asset coverage tracking.
04.
Automate ticket assignment with actionable guidance, scale with bulk ticketing and route through existing workflows using organizational, asset ownership rules.
05.
Focus on high-impact fixes via root cause analysis.
06.
Holistic, end-to-end asset ownership, including application-tier insight into security findings, asset linkings, code pipeline and owner.
07.
Shift to programmatic and formalized security strategy across the business.

Key Business Outcomes
| 50-1 backlog reduction with alert consolidation
and ML deduplication.
| 90% improved MTTR for prioritized findings.
| 80% time savings by automating assessment.
| 90% Remediation task efficiency improvement
through ownership assignment and ticket automation.
| 7x increase the number of closed findings on an annualized basis.
Checklist
Category | Checklist Item | |
---|---|---|
Assessment & Planning | 01. | Define the scope by identifying all assets (IT, OT, IoT; logical, virtual to cloud). |
02. | Set key objectives and success metrics (e.g., MTTR reduction, improved risk visibility). | |
03. | Engage key stakeholders: Security, IT, OT, compliance, executive teams. | |
04. | Conduct a risk assessment to evaluate current vulnerability management maturity. Align with compliance regulatory frameworks (NIST, CIS, ISO 27001, etc.). |
|
Asset Discovery & Inventory | 01. | Deploy automated asset discovery tools for full visibility and context. |
02. | Maintain a real-time inventory of devices, applications, and cloud workloads. | |
03. | Classify assets based on business criticality, risk exposure, and dependencies. | |
04. | Ensure visibility into shadow IT, ephemeral and unmanaged devices. | |
Vulnerability Detection & Prioritization | 01. | Implement continuous discovery across all environments. |
02. | Integrate real-time threat intelligence to assess exploitability. | |
03. | Shift to risk-based prioritization (business impact + exploitability, not just CVSS). | |
04. | Correlate and collaborate with the entire tech stack. | |
Remediation & Risk Reduction | 01. | Deploy automated remediation & patching based on prioritization. |
02. | Apply compensating controls (segmentation, firewall rules, etc.) when patching isn’t feasible. | |
03. | Integrate with ITSM platforms (ServiceNow, Jira) for workflow automation. | |
04. | Align vulnerability management with incident response processes. | |
Validation & Continuous Monitoring | 01. | Conduct validation testing to ensure vulnerabilities are properly remediated. |
02. | Deploy real-time monitoring for new vulnerabilities and attack surface changes. | |
03. | Perform attack simulations and red teaming to test security effectiveness. | |
04. | Automate reporting for CISOs, auditors, and regulators. | |
Optimization & AI-Driven Automation | 01. | Implement AI-driven adaptive risk scoring to refine prioritization. |
02. | Leverage SOAR /SIEM playbooks for faster response. | |
03. | Use predictive analytics and early warning and proactive threat hunting to identify emerging risks. | |
04. | Ensure cross-platform integration to unify vulnerability management across all devices and the entire digital footprint. |