autohandai Implementing Vulnerability Remediation SLA
Overview
Vulnerability remediation SLAs define mandatory timeframes for patching or mitigating identified vulnerabilities based on severity, asset criticality, and exploit availability. Effective SLA programs drive accountability, ensure consistent remediation timelines, and provide measurable KPIs for vulnerability management maturity.
Prerequisites
- Vulnerability scanning program producing regular findings
- Asset inventory with criticality classifications
- Ticketing system (Jira, ServiceNow, etc.) for remediation tracking
- Executive sponsorship for SLA enforcement
- Cross-functional agreement from IT operations, development, and security
Core Concepts
SLA Framework Components
- Severity Classification: CVSS base score + threat context (EPSS, KEV)
- Asset Tiering: Business criticality and exposure level
- Remediation Timeframes: Maximum days to remediate by category
- Exception Process: Documented approval for SLA extensions
- Escalation Procedures: Actions when SLAs are breached
- Metrics and Reporting: KPIs for compliance tracking
Recommended SLA Matrix
| Severity | Tier 1 (Critical) | Tier 2 (Important) | Tier 3 (Standard) |
|---|---|---|---|
| Critical (CVSS 9.0-10.0) | 24-48 hours | 72 hours | 7 days |
| High (CVSS 7.0-8.9) | 7 days | 14 days | 30 days |
| Medium (CVSS 4.0-6.9) | 30 days | 45 days | 60 days |
| Low (CVSS 0.1-3.9) | 90 days | 90 days | 90 days |
| CISA KEV Listed | 24 hours | 48 hours | 7 days |
SLA Accelerators (Reduce SLA by 50%)
- Exploit code publicly available
- Active exploitation observed in the wild (CISA KEV)
- Internet-facing asset affected
- EPSS score > 0.5 (50% exploitation probability)
- Previous breach via similar vulnerability type
Implementation Steps
Step 1: Define Asset Tiers
Tier 1 (Critical Assets):
- Customer-facing production systems
- Payment processing infrastructure
- Domain controllers and identity systems
- Core network infrastructure (firewalls, routers)
- Databases containing PII/PHI/PCI data
Tier 2 (Important Assets):
- Internal production applications
- Email and collaboration systems
- Development/staging environments with production data
- Backup and recovery infrastructure
- VPN and remote access gateways
Tier 3 (Standard Assets):
- End-user workstations
- Development/test environments
- Print servers and peripheral management
- Non-critical internal tools
Step 2: Establish SLA Policy Document
Key sections to include:
- Purpose and scope
- Roles and responsibilities (RACI matrix)
- Severity definitions and calculation method
- Remediation timeframes by severity and asset tier
- Exception request process and approval authority
- Escalation procedures for SLA breaches
- Metrics, reporting cadence, and governance
- Policy review and update schedule
Step 3: Integrate with Ticketing System
# ServiceNow / Jira integration for automatic ticket creation
# See process.py for full implementation
# Key fields for remediation tickets:
# - Vulnerability ID (CVE/Plugin ID)
# - Affected host(s)
# - Severity (CVSS + contextual factors)
# - Asset tier
# - SLA deadline (calculated from discovery date)
# - Assignment group
# - Remediation instructions
# - Verification criteria
Step 4: Configure Escalation Chain
SLA Status Action Notify
───────────────────────────────────────────────────────────
75% elapsed Warning email Asset owner
100% elapsed SLA breach notification Manager + CISO
100% + 7 days Executive escalation VP/CTO
100% + 30 days Risk acceptance required CISO approval
100% + 90 days Compensating controls mandatory Board report
Step 5: Establish Exception Process
Valid exception reasons:
- System cannot be patched without major downtime (scheduled maintenance window)
- No vendor patch available (apply compensating controls)
- Patch breaks critical functionality (require test results as evidence)
- End-of-life system pending decommission (document risk acceptance)
Exception requirements:
- Written justification with business impact
- Compensating controls documented and implemented
- Approved by asset owner AND security leadership
- Maximum exception duration: 90 days (renewable with re-approval)
- Tracked in vulnerability management platform
Key Performance Indicators (KPIs)
Primary Metrics
| KPI | Definition | Target |
|---|---|---|
| SLA Compliance Rate | % of vulns remediated within SLA | >90% |
| Mean Time to Remediate (MTTR) | Average days from discovery to fix | Critical: <3d, High: <10d |
| Vulnerability Backlog | Open vulnerabilities past SLA | <5% of total |
| Exception Rate | % of findings with active exceptions | <10% |
| Recurrence Rate | % of vulns that reappear after remediation | <5% |
Trending Metrics
- Month-over-month SLA compliance trend
- MTTR trend by severity
- Vulnerability density per asset (vulns/host)
- Patch coverage rate (% of assets scanned and compliant)
- Time to first response (acknowledgment of finding)
Best Practices
- Start with achievable SLAs and tighten over time as maturity improves
- Use automated ticketing to eliminate manual SLA tracking
- Provide remediation teams with clear fix instructions, not just CVE numbers
- Track SLA compliance at the team/department level for accountability
- Report SLA metrics to executive leadership monthly
- Include compensating controls as valid interim remediation
- Align SLAs with regulatory requirements (PCI DSS, HIPAA, SOX)
- Review and adjust SLAs annually based on threat landscape changes
Common Pitfalls
- Setting unrealistic SLAs that teams cannot meet (creates SLA fatigue)
- No executive enforcement of SLA breaches
- Treating all assets equally without tiering
- Not accounting for vulnerability context (EPSS, KEV) in SLA calculation
- Missing exception management process (leads to untracked risk)
- Measuring only compliance rate without analyzing root causes of breaches
Related Skills
- prioritizing-vulnerabilities-with-cvss-scoring
- implementing-patch-management-workflow
- implementing-vulnerability-metrics-and-reporting
- implementing-exception-management-process