Q&A: Remediation Agent — How the AI Generates, Prioritizes & Tracks CMMC Fixes

[AGI-Corporation]

Remediation Agent Deep-Dive Q&A

This thread covers the Remediation Agent — the component responsible for turning gap findings into actionable fix plans, tracking remediation progress, and updating your CMMC posture in real time.

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Common Questions

How remediation plans are generated

• How does the agent convert a failed control into a step-by-step remediation task?
• What data sources does the agent use to suggest fix actions (NIST SP 800-171, CMMC practice guides)?
• Can the agent generate remediation scripts or configuration snippets automatically?
• How are remediation tasks ranked by priority or risk impact?

Task tracking & workflow

• How are remediation tasks assigned to team members or owners?
• What states can a remediation task be in (open, in-progress, blocked, resolved)?
• Is there a Kanban-style board or task list view for tracking open remediations?
• How does task completion feed back into the assessment score?

Evidence collection

• What evidence formats does the agent accept to mark a task resolved (screenshots, logs, config exports)?
• How does the agent validate that submitted evidence actually satisfies the control?
• Can evidence be linked to multiple controls simultaneously?

Integration & automation

• Can the agent push remediation tasks to Jira, GitHub Issues, or ServiceNow?
• Does the agent support automated remediation for any control domains (e.g., auto-applying security baselines)?
• How do I write a custom remediation handler for a domain-specific control?

Scoring & re-assessment

• After marking tasks complete, how quickly does the score update?
• Can I trigger a partial re-assessment for only the controls that were remediated?
• How does the agent handle regression — a previously passing control that now fails?

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Post your remediation workflow questions below. Share your org's control gap patterns, blockers, and what automation you'd like to see.