SentriAI vs Prompt Security
Prompt Security guards the LLM prompt and response layer. SentriAI guards the action. Here is the honest comparison.
TL;DR verdict
Prompt Security is a GenAI security platform that inspects and controls LLM prompts and responses to catch injection and data leakage in the text. SentriAI 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 Prompt Security does well
- Real-time inspection of prompts and model responses
- Detection of prompt injection and sensitive-data leakage in text
- Visibility into how employees and apps use GenAI
- A focused layer for securing the LLM interaction itself
Where SentriAI differs
Prompt Security operates on the text going into and out of the model. SentriAI operates on the action the agent then tries to take. A prompt filter that misses an indirect injection cannot stop the resulting action; SentriAI can, because a manipulated agent still has to pass scope, tenant, and sensitivity checks. The two are classic defense-in-depth: filter the prompt, govern the action.
What SentriAI 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 | SentriAI | Prompt Security |
|---|---|---|
| Primary job | Decide + govern the action | Inspect LLM prompts and responses |
| Layer | The action the agent takes | The prompt/response text |
| Runtime enforcement | Yes - per-action verdicts | Prompt/response controls |
| Injection defense | At the action (deterministic backstop) | At the text (detection) |
| Evidence model | Governed-action evidence | Prompt/response security events |
| Best fit | Governing agent actions | Securing the LLM interaction |
Who should pick which
Frequently asked questions
Is SentriAI a prompt firewall?
No. Prompt Security inspects the prompt and response text; SentriAI governs the action the agent takes afterward. They are complementary - a prompt filter reduces what reaches the model, and action governance guarantees an injected agent still cannot exceed its bounds.
Does SentriAI stop prompt injection?
At the action layer. It assumes an injection might slip past the text filter and defends where it matters: the manipulated agent still faces scope containment, tenant isolation, and step-up, so the harmful action is denied regardless of the prompt.
Should I use both?
Yes - this is textbook defense in depth. Filter the prompt with a GenAI security layer and govern the action with SentriAI, so you cover both the input and the consequence.
Which handles indirect injection?
A prompt filter tries to catch it in the content; SentriAI defends against its consequences by governing the resulting action, which is effective even when the instruction was hidden in a document or tool result.
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