Your AI guardrail should answer to you, not to an AI vendor
In the last year almost every independent AI-security company was bought by a larger platform. Lakera went to Check Point, Prompt Security to SentinelOne, Invariant Labs to Snyk, Robust Intelligence to Cisco, Aim Security to Cato. That is good for those teams, and it means the tool watching your agents now belongs to a company that also sells you something else: a model, a firewall, or the SOC the data flows into.
Queldrex stays independent on purpose. We do one job, for you: sit in the path of your agents, allow or stop each action against your own rules, and hand you a signed receipt for every decision that you can verify yourself, without trusting us. That is the whole product, and it is why the receipt matters more than the marketing.
| Capability | Queldrex | AI-lab / platform tools | Enforcement gateways | Receipt / standards projects |
|---|---|---|---|---|
| Owned by no AI lab or security platform | Yes | No | varies | mixed |
| Blocks a bad tool call in-path (not just alerts)how to add it → | Yes | yes | yes | No |
| Every decision emits a signed receiptverify one → | Yes | No | logs only | yes |
| Receipts verify offline, zero dependenciespaste & check → | Yes | No | No | sometimes |
| Sigstore / in-toto (DSSE) attestation formatpublic key → | Yes | No | No | rare |
| Open receipt spec + reproducible benchmarkthe numbers → | Yes | No | No | draft |
| Exports to your SIEM / OpenTelemetryexport formats → | Yes | yes | yes | No |
| Maps evidence to NIST / EU AI Act / OWASP ASIcoverage map → | Yes | partial | partial | No |
| Can run air-gapped, no phone-home to verify | Yes | No | varies | n/a |
Categories, not a scorecard against one named product, because the honest answer varies by vendor and changes as they ship. Where a competitor is genuinely ahead, we say so: best-in-class detection models are strong, which is why we integrate them behind the gate rather than claim to beat everyone at raw detection. What no consolidated vendor offers is the combination on the left: neutral, in-path, and a per-decision proof you can verify without them.