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Trustible

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Trustible

Type: company (AI-governance platform vendor) Sector: AI governance software for regulated enterprises (intake/inventory-weighted) First seen: 2026-06-22 (honourable-mention lists in MQ sources) Last updated: 2026-08-04

Created 2026-08-04 from S-2026-07-22-trustible-mq-mention-pr (daily AI-governance vendor-intelligence scan). Trigger: second source reached — previously present only inside the June 2026 MQ sources’ honourable-mention lists [S-2026-06-22-gartner-mq-ai-governance-platforms][S-2026-06-22-gaig-gartner-mq-full-quadrant]. Capability and outcome claims are the vendor’s own and not independently verified.

Snapshot

Trustible is an Arlington, VA AI-governance vendor that self-describes as “the purpose-built AI governance platform for regulated enterprises” [S-2026-07-22-trustible-mq-mention-pr]. It matters to this wiki as one of the six Honorable Mentions in the inaugural 2026 Gartner MQ for AI Governance Platforms (alongside Enzai, LatticeFlow AI, Modulos, Singulr and WitnessAI — vendors relevant to the category but not meeting formal inclusion criteria) [S-2026-06-22-gaig-gartner-mq-full-quadrant], and as the clearest vendor advocate of an intake-first theory of AI governance — a deliberate counterpoint to the runtime-enforcement framing Gartner’s category definition emphasises [S-2026-07-22-trustible-mq-mention-pr].

Positions / Claims they advance

  • Named an Honorable Mention in the inaugural 2026 Gartner MQ for AI Governance Platforms; announced twice — a June 2026 release (in vault via the MQ round-up sources) and a fuller 22 July 2026 re-announcement [S-2026-06-22-gartner-mq-ai-governance-platforms][S-2026-07-22-trustible-mq-mention-pr].
  • Intake-first governance thesis: the governance failure mode is review capacity, not production monitoring — “use cases pile up in intake queues”, risk assessments in Word, model cards in spreadsheets, approvals in email; CTO Andrew Gamino-Cheong: the challenge “isn’t about monitoring models in production” but structuring “how organizations decide which AI to deploy, under what conditions, and with what oversight” [S-2026-07-22-trustible-mq-mention-pr].
  • Claimed outcomes: customers “approve 4X more use cases, move 10X faster through intake, cut governance cycle times by 60%”, keep “100% of their AI use cases audit-ready” — unattributed vendor metrics, no methodology or evidentiary standard given ⚠️ [S-2026-07-22-trustible-mq-mention-pr].
  • Claimed customers “across financial services, defense, healthcare, and technology”: Leidos, Guardian Life (US insurer), Molson Coors, Olympus, Korn Ferry, Nuix, Kroll, Thalamus — a “trusted by” list; production status, jurisdiction and scope unstated; no EU/UK FS name [S-2026-07-22-trustible-mq-mention-pr].

Relationships

  • relates-to → AI Governance Platforms — honourable mention in the category’s inaugural MQ; supplies the intake/inventory-weighted end of the category [S-2026-07-22-trustible-mq-mention-pr].
  • relates-to → Three Lines of Defence for AI — an intake/approval system-of-record is candidate first/second-line tooling whose evidence the three lines consume [inference].
  • competes-with → Monitaur — both position expressly for regulated enterprises; Monitaur from a system-of-record/high-risk-use-case angle, Trustible from intake/use-case throughput [inference].
  • competes-with → Credo AI — Credo’s intake questionnaires and Triggers/Actions engine (per Mohan’s MQ walkthrough) overlap Trustible’s intake-governance ground [S-2026-07-10-mohan-aigp-mq-analysis][inference].

Tracked changes

  • 2026-06-22 — Listed among six Honorable Mentions in the inaugural Gartner MQ for AI Governance Platforms [S-2026-06-22-gaig-gartner-mq-full-quadrant].
  • 2026-07-22 — Re-announced the Honorable Mention with fuller positioning: intake-first thesis, outcome metrics and first named customer roster including Guardian Life and Kroll [S-2026-07-22-trustible-mq-mention-pr].

Open Questions

  • Is any roster customer (Guardian Life, Kroll) a production deployment, at what governance scope, and would either serve as a named regulated-FS reference — the reference the whole category still lacks in EU/UK terms?
  • What does “100% audit-ready” mean against a specific standard (EU AI Act documentation, ISO/IEC 42001, NIST AI RMF), and has any customer’s regulator or auditor actually accepted the evidence?
  • Can an intake-first platform without runtime enforcement survive Gartner’s runtime-weighted inclusion criteria to enter the MQ proper in 2027, or is Trustible betting the market splits between intake governance and runtime control?

Sources

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