Who should use the Vulnerability Management workflow?
Teams or solo builders working on security & privacy tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Security & Privacy
Practical execution plan for vulnerability management with clear steps, mapped tools, and delivery-focused outcomes.
Deliverable outcome
Secure code pipeline that prevents vulnerable code from reaching production.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
Secure code pipeline that prevents vulnerable code from reaching production.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use Lansweeper to complete, up-to-date asset inventory with criticality labels for all in-scope systems. Then, you pass the output to Aqua Security to list of confirmed vulnerabilities with cvss scores, affected assets, and detection timestamps. Then, you pass the output to Brinqa to prioritized remediation queue with assigned owners, slas, and risk justification. Then, you pass the output to GitLab to all prioritized vulnerabilities either patched, mitigated, or formally accepted with documented risk acceptance. Then, you pass the output to Exabeam to live visibility into vulnerability posture with automated reporting and siem integration for proactive response. Finally, Snyk (DeepCode AI) is used to secure code pipeline that prevents vulnerable code from reaching production.
Asset Discovery and Inventory
Complete, up-to-date asset inventory with criticality labels for all in-scope systems.
Vulnerability Scanning and Detection
List of confirmed vulnerabilities with CVSS scores, affected assets, and detection timestamps.
Risk Prioritization and Triage
Prioritized remediation queue with assigned owners, SLAs, and risk justification.
Remediation and Patch Management
All prioritized vulnerabilities either patched, mitigated, or formally accepted with documented risk acceptance.
Continuous Monitoring and Reporting
Live visibility into vulnerability posture with automated reporting and SIEM integration for proactive response.
Code-Level Vulnerability Detection (Optional)
Secure code pipeline that prevents vulnerable code from reaching production.
Identify all assets in scope (servers, endpoints, cloud instances, containers, network devices) using active scanning, agent-based discovery, and cloud provider APIs. Maintain a living inventory with metadata (OS, software, version, owner, criticality). This ensures no asset is missed during scanning.
Why Lansweeper: Lansweeper provides agentless network scanning and automated software license auditing, directly matching the need for asset discovery and inventory.
Run authenticated and unauthenticated vulnerability scans against all discovered assets on a regular cadence (weekly or after major changes). Use credentialed scans for deeper visibility into OS and application vulnerabilities. Schedule scans during maintenance windows to avoid impact.
Why Aqua Security: Aqua Security explicitly offers vulnerability scanning, directly fulfilling the need for a vulnerability scanner.
Rank vulnerabilities by combining CVSS score, exploitability (e.g., active exploits in the wild), asset criticality, and business impact. Use a risk scoring model (e.g., CVSS + EPSS + asset context) to focus on the most urgent issues first. Document rationale for deferring low-risk items.
Why Brinqa: Brinqa specializes in exposure prioritization and risk assessment, directly matching the need for a risk scoring platform.
Apply patches, configuration changes, or compensating controls according to priority. For critical vulnerabilities, use emergency change processes. Automate patching where possible (e.g., WSUS, SCCM, Ansible). Verify remediation by re-scanning affected assets after fix deployment.
Why GitLab: GitLab provides automated security vulnerability remediation, which aligns with patch management needs.
Establish ongoing scanning cadence (daily for critical assets, weekly for others) and track remediation progress via dashboards. Generate executive reports showing vulnerability trends, mean-time-to-remediate (MTTR), and compliance status. Feed findings into SIEM for correlation with incidents.
Why Exabeam: Exabeam provides log management and automated incident response, fitting the need for a SIEM/reporting platform.
Integrate SAST/DAST tools into CI/CD pipeline to catch vulnerabilities in custom code before deployment. Run scans on every commit or pull request. This step is optional for organizations without in-house development or if code scanning is handled separately.
Why Snyk (DeepCode AI): Snyk (DeepCode AI) provides Static Application Security Testing (SAST) and dependency vulnerability scanning, directly matching SAST/DAST needs.
§ Before you start
Teams or solo builders working on security & privacy tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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