Comparison
Fintra Trust vs Robust Intelligence
TL;DR verdict
Robust Intelligence is an AI security platform focused on validating and protecting ML models against failures, attacks, and unsafe outputs. Fintra Trust is an AI Action Governance platform: it decides, per action and at runtime, whether an actor should be allowed to do a thing to a resource, and records the verdict as tamper-evident evidence. These solve different problems, and for most teams they are complementary rather than either-or.
What Robust Intelligence does well
- Automated stress-testing and validation of ML models
- Runtime protection against unsafe or adversarial model outputs
- A rigorous, model-centric view of AI risk
- Depth on the failure modes of machine-learning systems
Where Fintra Trust differs
Robust Intelligence makes the model itself safer and more resilient. Fintra Trust governs what happens after the model produces an output: the action an agent takes with it. Model hardening reduces bad outputs; action governance ensures a bad output cannot become an out-of-scope, cross-tenant, or unverified action. Different layers of the same stack.
What Fintra Trust adds that this category does not
- A per-action Policy Decision Point that returns allow, step-up, review, contain, or deny
- An Action Trust Score (0–100) with the explainable factors behind it
- A hash-chained, reproducible trust ledger for every decision
- Governed actions that map themselves to SOC 2 CC6/CC7 and other controls
Side-by-side
| Dimension | Fintra Trust | Robust Intelligence |
|---|---|---|
| Primary job | Decide + govern the action | Validate and protect the model |
| Layer | The action driven by the output | The model and its outputs |
| Runtime enforcement | Yes: per-action verdicts | Model output protection |
| Agent action gating | Core | Model-centric |
| Evidence model | Governed-action evidence | Model validation and protection |
| Best fit | Governing agent actions | Hardening ML models |
Who should pick which
Questions people ask
Is Fintra Trust a model-security tool?
No. Robust Intelligence hardens and protects the model; Fintra Trust governs the action taken with the model’s output. They address different layers, and a robust program benefits from both a safer model and governed actions.
Does Fintra Trust validate models?
It does not stress-test or validate the model itself. It red-teams and governs the actions the model drives, so an unsafe output is caught at the action even if the model produced it.
How do they complement each other?
Model hardening lowers the rate of bad outputs; action governance guarantees a bad output cannot turn into an unauthorized action. Together they cover the model and its consequences.
Which is more relevant for agents that take actions?
Fintra Trust, because agentic risk is ultimately about the action taken, not just the quality of the model output.
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