Monitors scans, consolidates data from multiple scanners, prioritizes risk with GPT-4, creates Jira tickets, alerts via Slack, and logs audits in Google Sheets.
Automates the full vulnerability lifecycle from detection to remediation verification. Aggregates data from Nessus, Qualys, and custom scanners into a unified CVE schema. Delivers immutable audit logs, executive KPIs, and Jira/Slack workflows for timely remediation.
Performs end-to-end vulnerability management with automated data fusion, prioritization, and remediation tracking.
Aggregate findings from Nessus, Qualys, and custom scanner APIs.
Normalize and deduplicate results into a standard CVE schema.
Enrich each vulnerability with GPT-4 risk context, including exploitability and business impact.
Apply severity gates to route Critical/High to expedited tracking and Medium/Low to standard queues.
Auto-create Jira remediation tickets with SLA-based due dates.
Notify stakeholders via Slack for Critical findings and maintain audit logs in Google Sheets.
This AI agent orchestrates vulnerability workflows end-to-end, replacing manual triage with automated data fusion, risk enrichment, and ticketing. It provides auditable logs and executive visibility.
A simple 3-step workflow that non-technical users can follow.
Collect data from scheduled scans and on-demand webhooks, unify findings, and deduplicate into a single CVE schema.
GPT-4 enriches each vulnerability with exploitability context and business impact, then applies severity gates to assign to expedited or standard queues.
Auto-create Jira tickets with SLA due dates, push Slack alerts for Critical vulns, verify patches with re-scan, and log the audit trail in Google Sheets.
A realistic scenario showing timing, actions, and outcomes.
Scenario: A Critical CVE-2024-21413 found on prod-db-01 during the 6:00 AM Nessus scan. The AI agent enriches the risk context, routes to expedited Jira tracking with a 24-hour SLA, and Slack alerts the on-call engineer. A remediation ticket is created with all CVE details, remediation steps, and links to scans. After patch deployment, a re-scan confirms closure, and an executive KPI report updates with MTTR and patch status. An immutable audit log is written to Google Sheets for SOC2/ISO controls.
Roles that gain clear, actionable vulnerability workflows.
Gets automated triage, faster ticket creation, and guided remediation steps.
Receives concrete Jira tasks with due dates and clear remediation owners.
Access to immutable audit logs and SOC2/ISO-ready reporting.
Monitors KPI dashboards and SLA adherence in real time.
Integrates remediation tasks within CI/CD workflows and Jira.
Gains executive visibility with weekly summaries and risk posture insights.
Tools connected to the AI agent and how they are used inside the workflow.
Feeds scan results into the AI agent and helps form the base CVE dataset.
Provides supplemental findings for cross-vendor normalization.
Adds additional findings to the unified CVE schema in parallel.
Auto-creates remediation tickets with SLA due dates and linkage to CVEs.
Delivers real-time alerts for Critical vulns to the on-call channel.
Stores the vulnerability registry and immutable audit log for SOC2/ISO.
Operational scenarios where the AI agent adds concrete value.
Common questions about the AI agent and its workflow.
The agent uses GPT-4 to enrich each vulnerability with exploitability context, business impact, and remediation urgency. It combines this with scanner severity and asset criticality to assign an overall risk score. The system then routes items to expedited or standard queues based on predefined SLAs. All enrichment context is stored with the ticket and audit log for traceability.
The AI agent aggregates findings from Nessus, Qualys, and any compatible custom scanner APIs. Each finding is normalized into a common CVE schema to avoid duplicates. The normalization step ensures consistent prioritization and reporting across sources. If a scanner is added later, the integration layer can accommodate it with minimal changes.
Tickets are auto-created with a detailed remediation plan and a due date aligned to the severity SLA. The system updates tickets as remediation progresses, and if a scan re-run confirms patch status, the ticket is closed automatically. SLA thresholds are configurable per project and asset. This maintains consistent expectations and audit-ready timelines.
Yes. Slack alerts can be routed to specific channels, on-call schedules, and differentiated between Critical alerts and High findings. Alerts include CVE links, asset names, and remediation steps. Notifications can be tuned by role and channel.
Yes. Every vulnerability lifecycle event is written to an immutable log in Google Sheets. The log captures scan data, enrichment context, ticket status, remediation actions, and re-scan results. This supports SOC 2 and ISO 27001 audits and makes reporting reliable and reproducible.
After remediation, the agent triggers a re-scan and compares results to the prior findings. If the vulnerability no longer appears or its CVE status changes, the associated Jira ticket is closed. The audit log records the verification outcome and any residual risk notes. This provides end-to-end assurance of patch effectiveness.
The AI agent handles data in transit and at rest with standard security controls. Access to scanner results, tickets, and logs can be restricted by role-based permissions. Credentials for connectors are stored securely, and actions are auditable. You can enable additional governance controls to meet organizational policies.
Monitors scans, consolidates data from multiple scanners, prioritizes risk with GPT-4, creates Jira tickets, alerts via Slack, and logs audits in Google Sheets.
