This page exists so you never have to guess who is behind a review on this site, or whether we have a financial interest in the product being recommended. We will keep it short and direct.
AIsecurityPlatform.com is published by Cyber Security Services, a U.S. company founded by Matt Santill, CISSP. Cyber Security Services also produces AILeakShield, a product that we review on this site.
We disclose this everywhere AILeakShield appears: on the AILeakShield review page, in any Best Of list AILeakShield is included on, in any comparison page that includes AILeakShield, and in the site footer. The disclosure callout reads:
Disclosure: AILeakShield is produced by Cyber Security Services, which also operates AIsecurityPlatform.com. We disclose this on every mention. See our full disclosure and methodology.
AILeakShield is evaluated against the same seven-dimension rubric as every other reviewed product, by the same reviewer, with the same vendor-briefing process. The methodology page documents this.
AILeakShield's feature scope is narrower than several other products on this site — it inspects prompts going to ChatGPT and Claude. It is not a full enterprise DLP suite. It is ranked accordingly. We do not place AILeakShield #1 on a list where it does not belong at #1.
Disclosure callouts are placed at the top of every relevant page, not buried in a footer.
This site distinguishes between two testing tracks. Both are honest about their depth. The lab program operates under the following commitments:
AILeakShield is currently the only product in our lab. We disclose this on the AILeakShield review page, on every Best Of list it appears on, on every comparison page, in the footer, and in the methodology section. The Lab Tested badge is not a quality signal in itself — it is a depth-of-evaluation signal, with the AILeakShield ownership conflict disclosed alongside it.
Vendors do not pay to be tested in the lab. Vendors do not pay to skip the lab. Lab access is requested by us, granted by the vendor, and never tied to coverage outcomes.
If a vendor declines lab access, the review carries a ❌ VENDOR DECLINED LAB ACCESS badge in addition to the Demo Evaluated track. The decline is stated as a fact, without editorial penalty to the score, but it is visible to readers.
When a vendor grants lab access, we run the standard scenarios published at /methodology/, upgrade the review's Testing Track badge to 🧪 LAB TESTED, re-date the review, and document any score changes that resulted from lab testing.
The 10 lab test scenarios we run on every Lab Tested product are documented at /methodology/,. This means readers, vendors, and competitors can see exactly what we test, before we publish the result.
We commit to refreshing every review at least quarterly and publishing a new annual edition of every Best Of ranking each January. Year-stamped rankings are dated honestly; year-less reviews carry “Last updated” timestamps and changelogs. We never silently update a published ranking after the fact — corrections are noted in the changelog. If you spot information that has aged or become inaccurate, email editorial@aisecurityplatform.com and we will update it.
We use AI tools — including LLMs — for research, drafting assistance, and editorial review. Every published page is reviewed and edited by a human. We do not publish AI-generated content unedited. See our editorial policy for details on AI use in our workflow.
If you believe a disclosure has been omitted or is inadequate, email hello@aisecurityplatform.com. We treat disclosure-related issues as the highest correction priority.
Disclosure works only when the reader sees it. Disclosure buried on a separate “about” page does not work. Disclosure in fine print at the bottom of a long article does not work either. The standard followed by independent media outlets — and the standard the U.S. FTC describes in its endorsement guidance — is clear-and-conspicuous disclosure at the point of the relevant content. We follow that standard.
On every page that mentions AILeakShield, the disclosure callout sits at the top of the page, in the standard format. On the AILeakShield review specifically, the callout is the first content the reader sees, before any narrative or score. On Best Of lists where AILeakShield appears, the callout precedes the list and a short reminder accompanies the AILeakShield entry. On the AILeakShield comparison page, the callout opens the page.
AILeakShield is scored using the same seven-dimension rubric as every other product, with the same vendor-briefing process, by the same reviewer.
AILeakShield gets the same fact-check pass — limited to factual errors, not editorial framing — as every other product.
Confirmed errors in the AILeakShield review are corrected within five business days, with a dated correction note added to the changelog. The same standard applies to every product.
AILeakShield is ranked at its actual feature scope — narrower than several other products in the same category. We do not place AILeakShield #1 on a list it does not belong at #1 on.
AILeakShield gets the same fact-check pass — limited to factual errors, not editorial framing — as every other product.
