How it works
How KLA keeps AI systems under control in production
- 1
Set policy
Define what's allowed, risky, or off-limits.
Policy Builder
Policy rules
- AllowLow risk actions
- WarnMedium risk actions
- Require approvalHigh risk actions
- BlockProhibited actions
Create granular controls by action type, risk level, data sensitivity, user, or environment.
- 2
Control execution
Every action is evaluated in real time.
Decision Checkpoint
AI AgentPlan & act- Action
- Write to finance DB
- Risk
- High
- Route
- Human approval
- Approval
- Pending
ExecuteIf approvedLow-risk actions flow through. High-risk actions require human approval before execution.
- 3
Prove and improve
Capture evidence and learn from every decision.
Evidence Room
- Lineage RecordComplete action timeline
- Outcome summaryDecision, risk, result
- Sampled outputsInputs, prompts, responses
Immutable, searchable evidence for audit, compliance, and continuous improvement.
In the product
One control plane for every governed AI system
A real-time picture of actions, approvals, and risk across your AI systems — the operational view your reviewers and auditors can trust.
Overview
Real-time overview of your governed AI systems
Total actions
128,544
18%vs prior 7 days
Approved actions
96.1%
2.4ppvs prior 7 days
Blocked actions
1,742
6%vs prior 7 days
Human approvals
2,318
12%vs prior 7 days
Systems
24
Active and reporting
Actions over time
Risk distribution
- Low72.1%
- Medium19.3%
- High6.8%
- Blocked1.8%
Top action types
- Read data42.1%
- Write data24.7%
- Invoke tool18.3%
- Generate content8.6%
- Other6.3%
Recent decisions
- Write to finance DBHigh risk · Pending approval2m ago
- Update customer statusLow risk · Allowed4m ago
- Export user dataMedium risk · Approved8m ago
View all decisions
See KLA in your own workflow
Start a 4-week governed pilot and move one real workflow into production, with policy, approvals, and evidence from day one.
