PRISM scores the risk of every AI action — code it generated and decisions agents made. Your pipeline can automatically flag, review, or block high-risk changes before they reach production.
Not all AI actions carry the same risk. But most pipelines treat them all equally.
A one-line comment and a 500-line authentication handler get the same review process. AI is generating code of wildly different complexity and sensitivity, but your pipeline has no way to tell the difference.
An agent approving a docs update and an agent approving a production deployment look identical. Without risk scoring, routine agent decisions and high-stakes operational choices all flow through the same path.
Reviewers burn out treating everything as high-priority. When everything looks the same, either everything gets scrutinized (reviewer fatigue) or nothing does (risk blindness). Neither is sustainable.
Your VIBES audit data already contains the signals that risk assessment needs — what action was taken, how large the change was, whether a human reviewed it. PRISM turns those signals into a score your pipeline can act on.
PRISM reads your existing audit data and produces a risk score. Three steps, fully automated.
PRISM analyzes your VIBES records — code annotations and agent decision logs alike. It looks at what kind of action was taken, how large it was, and what level of detail was captured.
Every AI action gets a risk score from 0.0 (minimal risk) to 1.0 (maximum risk), based on multiple signals — scope, complexity, review status, and more.
Low-risk changes flow through automatically. Medium-risk gets flagged for review. High-risk gets blocked until a human approves. Your pipeline finally knows the difference.
PRISM maps scores to four color-coded risk bands, each with a clear recommended action.
"Routine, low-impact"
Small changes, well-reviewed, low complexity. A docstring update, a minor config tweak, or an agent logging a routine status check. Safe to auto-merge.
"Worth a human look"
Moderate scope or missing some review signals. A new utility function, a non-trivial refactor, or an agent making a scaling decision. Flag for review before merging.
"Needs careful inspection"
Large changes, security-sensitive code, or unreviewed agent decisions affecting infrastructure. Block the merge and require senior review before proceeding.
"Stop and escalate"
Large unreviewed code creation, an agent autonomously approving a production deployment, or security-critical changes with no human oversight. Block and escalate to the security team.
Risk scoring transforms how your team handles AI-generated code and agent decisions. Instead of treating everything equally, you focus attention where it matters most.
Stop reviewing every AI change manually. PRISM lets low-risk code and routine agent actions flow through automatically, so your team spends review time on the changes that actually need human judgment.
Add a risk gate to your pipeline. Set a threshold and PRISM automatically blocks merges that exceed it — whether the risk comes from unreviewed code generation or an agent making a high-stakes operational decision.
When AI agents approve deployments, modify infrastructure, or orchestrate data pipelines, PRISM scores the risk of each decision. High-risk agent actions get flagged before they can cause damage — not after.
Security teams can't review everything. PRISM highlights the AI actions with the highest risk signals — large unreviewed changes, security-sensitive code paths, autonomous agent decisions — so security focuses on what matters.
Ready to know which AI actions need attention? Start with VIBES tracking, then add PRISM risk scoring to your pipeline.
Start with VIBES tracking — PRISM scores your audit data automatically. Works with Claude Code, Gemini, Codex, and more.
Install for your tool →Ask your AI tool provider about VIBES and PRISM support. Risk scoring works best when every tool reports its actions.
How to ask →Full VIBES ecosystem — VIBES, VERIFY, PRISM, and EVOLVE — built in with risk scoring ready to go.
runmaestro.ai →