Methodology-driven reviews, rankings, and guides for AI security tools. Independent, framework-aligned, transparent disclosure.
AIsecurityPlatform.com is a methodology-driven review site for the AI security category. We test, score, and rank the tools security teams are evaluating in 2026 — AI data loss prevention, shadow AI discovery, AI runtime defense, and AI red-teaming — against published criteria that are aligned with the NIST AI Risk Management Framework, OWASP Top 10 for LLM Applications 2025, the OWASP Top 10 for Agentic Applications 2026, and ISO/IEC 42001.
We do not sell consulting. We do not run the tools we cover. We do not accept payment for placement. Our scoring rubric, conflict-of-interest policy, and review cadence are public.
Start with our category leaderboards. Each entry links to a full review with score breakdown and best-fit guidance.
Platforms Compared
Scoring Dimensions
Last Update
Tools Ranked
Coverage Layers
Last Update
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.
three different answers to the AI DLP problem.
Our scoring rubric weights are visible on every review. how we test and score
Cyber Security Services, which operates this site, also produces AILeakShield. We disclose this on every page that mentions AILeakShield and in the footer. See our full disclosure.
Every review and guide ties back to NIST AI RMF, OWASP, ISO 42001, or the EU AI Act not to a vendor's marketing categories.
AI security is a young category. Most published “top 10” lists are written by vendors who appear in their own list. Comparison pages on the open web are usually published by one of the products being compared. Analyst grids carry useful information but are influenced by paid analyst access. Buyers are left assembling a picture from sources that have, in different ways, the same incentive.
AIsecurityPlatform.com is the alternative. Methodology-driven reviews, ranked Best Of lists scored against a public rubric, head-to-head comparisons that include open questions where information is unavailable, & framework-aligned guides that cite primary sources. Editorial independence is the product.
Eight reviewed products as of May 2026, each scored on the same seven-dimension rubric. reviews index
Two head-to-head comparisons published; more on the way. See the comparison index. See the comparison index.
Two ranked lists — AI DLP and Shadow AI Discovery — published. See Best Of. See Best Of.
OWASP LLM Top 10, OWASP Agentic Top 10, ISO 42001 readiness, and the EU AI Act compliance roadmap. See guides.
If you operate a product in this category and want to be considered, see the contact page for the submission process.
