Machine Relations Index

AI Security & Privacy · Machine Relations Index category

Which sources AI engines cite for AI Security & Privacy questions

In the October 2026 release of the Machine Relations Index (mri_score_v2.1+2026-10-16+676547a595a3), these are the sources AI answer engines cited most often for each of the 6 AI Security & Privacy question shapes, each ranked on that shape's own observed runs. This category has 6 observed question-shape segments in the current public release. Each segment keeps its own observed-run denominator and dates; this page does not average rates across shapes. Observed runs are answer runs, not questions: every segment repeats a small set of distinct questions across engines and dates, so a run count is not a count of independent questions.

Top sources by question shape

The sources engines cite most, shape by shape

A rate is the share of the shape's observed answer runs that cited the source; rank is the source's place on that shape's full leaderboard.

Best tools

Example pattern: best AI security privacy tools. 224 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 389Arxiv.orgAcademic and government source35.71%80 of 224
#2 of 389Getmaxim.aiOther observed source26.34%59 of 224
#3 of 389MediumCommunity and social platform20.98%47 of 224
#4 of 389Futureagi.comOther observed source17.86%40 of 224
#5 of 389Galileo.aiOther observed source15.18%34 of 224

Full Best tools leaderboard, 389 sources

How buyers choose

Example pattern: how to choose AI security privacy tools. 219 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 415Teramind.coOther observed source21.00%46 of 219
#2 of 415Philterd.aiOther observed source15.98%35 of 219
#3 of 415Aona.aiOther observed source15.07%33 of 219
#4 of 415Arxiv.orgAcademic and government source14.61%32 of 219
#5 of 415Strac.ioVendor-owned source12.33%27 of 219

Full How buyers choose leaderboard, 415 sources

Is it worth it

Example pattern: is AI security privacy software worth it. 219 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 456Witness.aiOther observed source16.89%37 of 219
#2 of 456Ovaledge.comOther observed source16.44%36 of 219
#3 of 456Veeam.comOther observed source14.16%31 of 219
#4 of 456Radware.comOther observed source12.33%27 of 219
#5 of 456Cloudflare.comOther observed source11.87%26 of 219

Full Is it worth it leaderboard, 456 sources

Problem-first research

Example pattern: how to solve AI security privacy problems. 194 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 446Arxiv.orgAcademic and government source14.95%29 of 194
#2 of 446TechRadarEditorial publication14.95%29 of 194
#3 of 446LinkedInCommunity and social platform11.86%23 of 194
#4 of 446Iguazio.comVendor-owned source11.34%22 of 194
#5 of 446TechTargetEditorial publication11.34%22 of 194

Full Problem-first research leaderboard, 446 sources

Top lists

Example pattern: top AI security privacy platforms. 194 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 431Ovaledge.comOther observed source27.32%53 of 194
#2 of 431Arxiv.orgAcademic and government source26.29%51 of 194
#3 of 431Osano.comOther observed source20.62%40 of 194
#4 of 431Ketch.comVendor-owned source18.56%36 of 194
#5 of 431Usercentrics.comOther observed source17.01%33 of 194

Full Top lists leaderboard, 431 sources

Comparisons

Example pattern: AI security privacy platform A vs B. 202 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 345Arxiv.orgAcademic and government source40.59%82 of 202
#2 of 345MediumCommunity and social platform18.32%37 of 202
#3 of 345Apxml.comOther observed source15.84%32 of 202
#4 of 345YouTubeSearch or media platform11.88%24 of 202
#5 of 345Bluedot.orgOther observed source10.89%22 of 202

Full Comparisons leaderboard, 345 sources

Observed shapes6

Canonical segment URLs exist only for observed category/shape pairs.

Published6

Published segments met the release evidence floor.

Collecting0

Collecting segments expose sample progress, not mature leaderboards.

Release2026-10-16

mri_score_v2.1+2026-10-16+676547a595a3

Question shapes

Separate denominators by segment

Question shapeStateObserved runsDistinct questionsRun datesCited domain observationsCanonical segment
Best toolsPublished2247 (5 paraphrase groups)10389Open leaderboard
How buyers choosePublished2197 (5 paraphrase groups)10415Open leaderboard
Is it worth itPublished2197 (5 paraphrase groups)10456Open leaderboard
Problem-first researchPublished1947 (5 paraphrase groups)10446Open leaderboard
Top listsPublished1947 (5 paraphrase groups)10431Open leaderboard
ComparisonsPublished2027 (5 paraphrase groups)10345Open leaderboard

Release and boundary

No pooled category score

Release mri_score_v2.1+2026-10-16+676547a595a3; methodology mri_score_v2.1; generated 2026-10-16; window 2026-05-10 to 2026-10-16; artifact 676547a595a3.

This page is a directory of observed segments. A domain's overall citation rate is not a category rate, and MRI does not publish an averaged category score in this slice.

AI Security & Privacy buyers on AuthorityTech’s publication intelligence is a downstream practitioner projection of these segments. It is not source evidence, citation provenance, or sameAs identity for the neutral dataset.