Finding security issues is only half the battle. The real challenge is fixing them — quickly, correctly, and without breaking anything. That's where AI-powered remediation comes in.
DevOps Genie's AI remediation system works in three steps. First, when a security finding is identified, the AI analyzes the finding context: what resource is affected, what the misconfiguration is, and what the compliant state should look like. Second, it generates the specific code changes needed — whether that's a Terraform modification, a K8s manifest update, or an AWS CLI command. Third, it creates a pull request with the fix, complete with a confidence score and explanation.
The confidence score is critical. Not all fixes are created equal. A fix that adds encryption to an S3 bucket is straightforward and gets a high confidence score. A fix that modifies IAM policies touching production workloads gets a lower score and a recommendation for careful review. The system is transparent about what it knows and what needs human judgment.
Human-in-the-loop is non-negotiable. Every AI-generated fix goes through your normal PR review process. The AI proposes, your team disposes. This ensures that fixes are reviewed in context, tested against your specific infrastructure, and approved by someone who understands the business impact.