AI · alternatives · 2026
24 alternatives to TrustRed
Testing platform for evaluation, quantifying and securing AI
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1

- 2

- 3LLM Stats▲308
Compare API models by benchmarks, cost & capabilities
Oct 2025 · llm-stats.com · its alternatives →
- 4

- 5

- 6

- 7

Validate, monitor, and safeguard LLM-based apps
2023 · its alternatives →
- 8

- 9

- 10
The Only AI Tool That Doesn't Trust AI
Mar 2026 · triall.ai · its alternatives →
- 11

- 12

- 13TD
Hi HN, We’re Daniel and Mark, the creators of TrustGraph (https://github.com/trustgraph-ai/trustgraph). TrustGraph is an open source, full end-to-end AI infrastructure that automates knowledge graph building and querying along with modular agent integration. A unique aspect of TrustGraph is that the graph building is a one-time process that builds reusable knowledge cores that can be stored, shared, and reloaded. You can read more about TrustGraph knowledge cores here (https://trustgraph.ai/docs/cores/). Throughout our careers, we’ve been faced…
2024 · github.com · its alternatives →
- 14OS
Hi all! This morning, we released a new Apache 2.0 licensed model on HuggingFace for detecting hallucinations in retrieval augmented generation (RAG) systems. What we've found is that even when given a "simple" instruction like "summarize the following news article," every LLM that's available hallucinates to some extent, making up details that never existed in the source article -- and some of them quite a bit. As a RAG provider and proponents of ethical AI, we want to see LLMs get better at this. We've published an open source model, a blog more thoroughly describing our methodology (and…
2023 · vectara.com · its alternatives →
- 15DA
2023 · github.com · its alternatives →
- 16

- 17

- 18

- 19

- 20

Global AI safety platform for red-teaming and trust
Dec 2025 · projgasi.gt.tc · its alternatives →
- 21AR
Hi HN, I built this open-source LLM red teaming tool based on my experience scaling LLMs at a big co to millions of users... and seeing all the bad things people did. How it works: - Uses an unaligned model to create toxic inputs - Runs these inputs through your app using different techniques: raw, prompt injection, and a chain-of-thought jailbreak that tries to re-frame the request to trick the LLM. - Probes a bunch of other failure cases (e.g. will your customer support bot recommend a competitor? Does it think it can process a refund when it can't? Will it leak your user's address?) -…
2024 · promptfoo.dev · its alternatives →
- 22

- 23

- 24

Earn trust today. Thrive with AI tomorrow.
2025 · aitrustproof.com · its alternatives →
Also compare
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →