Comparison
Fintra Trust vs Lakera
TL;DR verdict
Lakera is an LLM security platform that guards model inputs and outputs against prompt injection, jailbreaks, and misuse. 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 Lakera does well
- Fast detection of prompt injection and jailbreak attempts
- Guardrails on model inputs and outputs with low latency
- A developer-friendly way to add LLM safety checks
- A focused, well-known layer for securing model interactions
Where Fintra Trust differs
Lakera secures the model interaction: the text in and out. Fintra Trust secures the action the agent takes with the model’s output. When an agent can call tools and move data, the decisive control is on the action, not just the text: Fintra Trust enforces scope, tenant, and sensitivity so even a jailbroken agent cannot exceed its authority.
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 | Lakera |
|---|---|---|
| Primary job | Decide + govern the action | Guard LLM inputs and outputs |
| Layer | The action the agent takes | The model input/output |
| Runtime enforcement | Yes: per-action verdicts | Input/output guardrails |
| Injection defense | Deterministic backstop at the action | Detection at the text |
| Evidence model | Governed-action evidence | Guardrail events |
| Best fit | Governing agent actions | Securing model interactions |
Who should pick which
Questions people ask
Is Fintra Trust a Lakera alternative?
They protect different layers. Lakera guards LLM inputs and outputs; Fintra Trust governs the action the agent takes. For an agent that calls tools and moves data, action governance is the decisive control, and it pairs naturally with an input/output guard.
Does Fintra Trust detect jailbreaks?
It does not need to catch the jailbreak in the text to protect you. A jailbroken agent still has to pass scope containment, tenant isolation, and the sensitivity ladder, so the unsafe action is denied even if the jailbreak succeeded at the prompt level.
Should the two be combined?
Yes. Use Lakera to guard the model interaction and Fintra Trust to govern the resulting action: defense in depth across the prompt and the action.
Which is better for agentic systems?
For governing what an agent does, Fintra Trust; for securing the model call itself, an LLM guard. Agentic systems benefit from both.
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