
From finding to action
Every finding becomes a corrective action, with the reason and the evidence attached, so nothing stays a report that nobody acts on.
Remediation turns every finding into corrective action and feeds what it learns back into how work is done, so the same issue does not recur, for people and AI alike.

Every finding becomes a corrective action, with the reason and the evidence attached, so nothing stays a report that nobody acts on.

Prisma feeds what it learns back into how future work is done, so good practice spreads and the same issue does not recur.

For AI agents, feedback and consequences keep behavior stable, so autonomy can grow without governance holding it back.

Prisma keeps the evidence of how each issue was found and fixed, so you can show that performance improved over time.