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Vulnerability Management

Outpace Attackers with AI-Driven Vulnerability Management

Our Vulnerability Management service helps organizations identify, prioritize, and remediate security weaknesses across their technology environments. We go beyond scanning tools to implement a continuous, risk-driven approach that aligns with your business priorities and compliance requirements.


Our consultants work with you to build or enhance a scalable vulnerability management program, one that delivers clear visibility, rapid response, and measurable risk reduction.


Increasingly, this includes AI-augmented prioritization and remediation, where intelligent models correlate exploitability, asset criticality, and threat intelligence to surface the vulnerabilities most likely to cause real business impact, cutting through scanner noise that traditional CVSS-based triage cannot.

Our Approach

Discovery &
Program Design
  • Scan, patch, and remediation process review across IT, cloud, and OT environments
     

  • Tool capabilities, coverage, and integration assessment
     

  • Threat-context and risk-prioritization practices, including current use of AI/ML in triage
     

  • Policy, roles, and responsibilities definition with clear SLAs
     

  • Risk-based prioritization model that weighs exploitability, asset criticality, and business impact, not just CVSS
     

  • Integration design with ticketing, change management, and ITSM workflows

Implementation
Support
  • Rollout of workflows and remediation cycles with human-in-the-loop controls for AI-driven decisions
     

  • Communication strategies that bridge IT and security collaboration
     

  • Staff training and knowledge transfer, including how to operate and validate AI-assisted prioritization
     

Tool Optimization &
AI-Augmented Automation
  • Tuning of existing scanners (Qualys, Tenable, Rapid7, Wiz, etc.) to reduce noise and surface real risk
     

  • Integration with SIEM/SOAR platforms and CMDBs for enriched context
     

  • AI-driven prioritization that correlates threat intelligence (CISA KEV, EPSS, exploit availability) with your asset inventory to focus remediation where it matters
     

  • Automation of alerting, ticketing, evidence capture, and remediation tracking
     

  • Generative-AI-assisted remediation guidance for IT teams (patch instructions, configuration fixes, compensating controls)

Reporting &
Continuous Improvement
  • Executive dashboards and metrics (MTTR, exploitable risk reduction, SLA compliance, AI-prioritization accuracy)
     

  • Program maturity roadmap aligned to NIST CSF, CIS, and industry frameworks
     

  • Continuous tuning of AI models and automation rules as your environment, asset inventory, and threat landscape evolve

Benefits

Risk Reduction That's Actually Risk-Based

AI-driven prioritization correlates exploitability, threat intel, and asset criticality so your team fixes the 2% of vulnerabilities that matter, not the 98% that don't.

Faster Remediation at Scale

Automated workflows route the right vulnerabilities to the right owners with the right context, cutting mean time to remediate for critical findings from weeks to days.

Operational Clarity

Clear roles, SLAs, and metrics replace finger-pointing between IT and security with shared accountability and visible progress.

Audit-Ready Compliance

Continuous evidence capture aligned to CIS, NIST CSF, ISO 27001, PCI DSS, and industry-specific frameworks means compliance is maintained, not manufactured before an audit.

See How We Did This

TBDCyber Vulnerability Management Case Study

Your Scanner Found 47,000 Vulnerabilities. Now What?

Most vulnerability management programs drown in scanner output and patch the wrong things first.

 

TBDCyber starts with your business priorities, your asset inventory, and your existing technology stack, and then layers in AI-driven prioritization and automation so your team spends time on the vulnerabilities that actually create exposure.

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Talk to a Vulnerability Management Expert →

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