Buyer prompt · published evidence

Create a proof-of-concept scorecard for cybersecurity platforms using real detection, false-positive, investigation, and response workflows.

An exact prompt-level view of which reviewed brands surfaced and which public URLs the configured AI models cited. No answer text or tenant data is published.

Intent
commercial
Model providers
3
Categories
1
Last observed
Aug 10, 2026, 12:00 AM UTC
Competitive outcome

Brands surfaced

Ordered by provider breadth, then total mentions and owned-domain citations. A mention is not an endorsement or a position claim.

#BrandCategoryProvidersMentionsOwned citationsProvider evidence
Model comparison

Answer matrix

One row per configured provider and category snapshot. Hashes prove answer identity without publishing stored answer text.

ProviderModel versionCategoryBrands surfacedCitationsUnique domainsAnswer hash
Openaiopenai/gpt-4o-miniCybersecurityNone observed002ed0e336…8c20b
Anthropicanthropic/claude-haiku-4-5CybersecurityNone observed0007f95f25…335a0
Geminigoogle/gemini-2.5-flashCybersecurityNone observed44a9c63d8a…b769d
URL-derived citations

Sources cited

Hostnames are derived from the returned public URLs. Best position is the smallest citation position observed.

Snapshot IDs5a710a84-bc24-4b54-a646-3826df6c5b9b
Corpus versionscybersecurity-platforms-2026-07-27
Benchmark versions4-cybersecurity-platforms-2026-07-27-models-64232fd32583

Coverage: Cybersecurity. Full answers stored: no · Full answers published: no · Tenant data included: no.