Agentic-RemediateBot is an AI-assisted remediation planning engine that transforms vulnerability findings into structured, prioritized, and governance-ready remediation actions.
This project simulates an agentic security workflow where vulnerability telemetry is:
- Ingested and normalized
- Contextually enriched with risk logic
- Prioritized using structured scoring
- Converted into remediation plans
- Drafted into change-ready ticket content
- Packaged with validation and audit evidence
All actions are gated by human approval to preserve governance and operational safety.
Unlike static automation scripts, RemediateBot demonstrates contextual orchestration:
✔ Applies weighted risk scoring beyond raw CVSS
✔ Incorporates exploitability + environmental exposure
✔ Dynamically assigns priority and SLA
✔ Generates remediation + rollback instructions
✔ Produces structured change request drafts
✔ Packages evidence requirements for audit readiness
This models AI-assisted security reasoning, not simple scripting.
Backlog Ingestion
→ Risk Enrichment
→ Prioritization Engine
→ Remediation Drafting
→ Human Approval Gate
→ Evidence Packaging
→ Executive Reporting
This simulates how modern SecOps teams integrate automation while maintaining governance controls.
Core Stack
- PowerShell Automation Engine
- Structured Risk Logic
- JSON Policy Configuration
- CSV/Markdown/TXT Output Pipelines
Security Concepts Applied
- Vulnerability Management Lifecycle
- Change Management Governance
- SLA Modeling
- Evidence Packaging
- CISO-Level Executive Reporting
- Human-in-the-Loop Approval Control
This automation model demonstrates how AI-assisted remediation workflows:
• Reduce analyst drafting time
• Improve prioritization accuracy
• Standardize remediation language
• Enable audit-ready documentation
• Accelerate change request generation
• Support enterprise-scale vulnerability management
- remediation_plan_2026-02-12.csv
- change_request_2026-02-12.md
- executive_summary_2026-02-12.txt
- evidence_pack/manifest_2026-02-12.json
All artifacts simulate real enterprise remediation coordination.
Remediation execution is intentionally NOT automated.
The system:
- Generates plans
- Drafts structured change requests
- Suggests rollback + validation
- Packages evidence pointers
Execution remains controlled under:
Human-in-the-loop approval (CAB / Change Management)
This design aligns with enterprise security best practices.
- Vulnerability Management Automation
- Remediation Planning Acceleration
- Change Request Draft Automation
- Security Engineering Portfolio Demonstration
- AI-Assisted SecOps Workflow Modeling
Agentic-RemediateBot demonstrates how AI-assisted security workflows can be safely integrated into operational environments without bypassing governance controls.
It reflects a modernization approach to:
Security Automation
SecOps Engineering
Risk-Based Remediation
AI-Augmented Decision Support
Designed & Built by Junist Aurelien | Security Engineering & Automation