AIsecurityPlatform.com is operated by Cyber Security Services, an independent cybersecurity firm led by Matt Santill (CISSP). Cyber Security Services also produces AILeakShield, an AI DLP product reviewed on this site with full disclosure.
AIsecurityPlatform.com is an independent buyer’s resource for the AI security category. We publish methodology-driven reviews, ranked Best Of lists, head-to-head comparisons, and framework-aligned guides for security teams evaluating AI data loss prevention, shadow AI discovery, AI runtime defense, and AI red-teaming tools.
AI security is a young category dominated by vendor self-rankings. “Top 10” lists are written by vendors. Analyst grids are influenced by who pays for analyst time. Comparison pages are usually published by one of the products being compared. Buyers are left assembling a picture from sources that all have the same incentive.
This site is the alternative. We have one job: tell security teams which AI security tools are worth evaluating, in what order, for what kinds of organizations. We make that judgment using a public scoring rubric and we disclose every conflict of interest we have.
is the founder of Cyber Security Services and the publisher of AIsecurityPlatform.com. He has worked in enterprise cybersecurity for over two decades, with a focus on data protection, AI security, and compliance frameworks. He is also the creator of AILeakShield, a prompt-inspection product that we disclose on every relevant page.
AIsecurityPlatform.com expects to add named contributors over the course of 2026. All contributors will be subject to the same conflict-of-interest disclosure standards as the founder. Contributor bylines will appear on the reviews they author.
Quarterly updates when our Best Of lists are refreshed, plus a short note when a vendor ships a material change or we revise a score. No promotional email.
products that inspect prompts, files, and AI-generated content for sensitive data.
products that surface unsanctioned AI tool use across browsers, SaaS apps, and endpoints.
products that block prompt injection, jailbreaks, and unsafe model behavior at request/response time.
products and platforms for adversarial testing of LLM applications and AI agents.
explainers and readiness guides for NIST AI RMF, OWASP, ISO/IEC 42001, and the EU AI Act.
As of the May 2026 launch, AIsecurityPlatform.com generates no revenue. Operating costs are absorbed by Cyber Security Services, the operating firm behind the site. If revenue models are introduced — newsletter sponsorships, a paid research subscription, affiliate links — they will be disclosed on the relevant pages and will not influence editorial coverage. See our disclosure page for the current state of affairs.
Independence, sourcing, corrections, and AI use are documented in our editorial policy.
General inquiries, vendor briefings, press, and corrections — see the contact page.
Analyst grids — Gartner, Forrester, IDC — are useful and we read them. They differ from this site in three ways. First, analyst access is paid: vendors pay for inquiry time, briefings, and consideration. Second, analyst grids are typically annual or bi-annual; product changes between cycles are not reflected. Third, analyst grids prioritize enterprise readiness and vendor stability — both important, but distinct from “is this product the right fit for my evaluation criteria.”
AIsecurityPlatform.com publishes a public scoring rubric, refreshes individual reviews ad hoc when material changes occur, and prioritizes buyer-fit narrative alongside the score. The site is not a replacement for analyst research; it is a complement aimed at security teams running evaluations.
Most “top 10” pages on the open web are written by one of the products in the top 10, ranked accordingly. The conflict is structural and the disclosures are usually weak. AIsecurityPlatform.com discloses its single conflict (the AILeakShield ownership) prominently and ranks AILeakShield against the same rubric as every other product. The protection is not perfect, but it is at the standard of independent media outlets.
AI security buyers in 2026 are running evaluations under time pressure. The EU AI Act August 2, 2026 deadline, increasing ISO 42001 buyer expectations, and growth in agentic AI all push security teams toward faster decisions on imperfect information. Independent reviews under a published methodology are the most useful artifact a buyer can have in this environment. That is the role AIsecurityPlatform.com is built to fill.
