From Finding to Fix: Automated Mitigation and Reporting in Alprina



A great scan is only useful if it leads to a fix. That is why Alprina focuses on the entire mitigation loop—triage, remediation, approval, and reporting—so security findings never get stranded in a backlog.
Auto-generated fixes with human control
Alprina pairs each finding with code suggestions and configuration patches generated by GPT and Claude, grounded by the evidence gathered during scanning. Suggested fixes arrive in plain language and as ready-to-commit diffs, so engineers can apply them immediately or adjust before merging.
Policy guardrails keep AI suggestions within approved scopes. If you restrict certain services, frameworks, or secrets usage, the mitigation engine respects those constraints automatically. Security leads can require human approval before changes move to production, letting AI do the heavy lifting without bypassing review.
Structured workflows for every stakeholder
- Security analysts can prioritize issues by severity, asset class, or MITRE ATT&CK technique.
- Engineering teams receive contextual task lists, risk explanations, and testing guidance embedded directly inside their IDEs.
- Compliance managers get a full audit trail—each mitigation captures who approved the fix, when the policy ran, and which scans were satisfied.
All of this lives inside a single workspace so you can see the status of open, in-progress, and resolved findings in real time.
Reporting that travels with you
When the job is done, Alprina bundles the story into shareable artifacts. Generate:
- HTML dashboards for quick executive readouts,
- PDF packets for quarterly reviews,
- JSON exports for SIEMs and custom analytics.
Sensitive data stays encrypted at rest, and you can choose which fields make it into each report to satisfy scope requirements. With usage-based billing through Stripe, you only pay for the scans, AI calls, and reports you actually ship—no shelfware, no surprise renewals.
The end result: faster fixes, tighter compliance, and happier engineers who can focus on shipping resilient, AI-powered products.