Compliance & GRC

#453 rlegaltech500

Guardrail

Est. 2020 United Kingdom Updated 2026-02-10
ai
Unverified by r/legaltech members — this page is based on publicly available information, not hands-on testing or practitioner feedback. Verify your experience with Guardrail

Guardrail Technologies is an enterprise AI security and governance platform that helps organizations control, monitor, and secure AI-powered workflows. Core products: AI Traffic Light™ (real-time risk assessment for AI interactions), AI Policy Engine™ (governance policy enforcement), and Data Masker (prevents confidential data from being exposed to AI training). Founded 2023, headquartered in Park City, UT (also listed as New York on Crunchbase). Founder: Shawnna Hoffman (submitted SEC comment letter on AI regulations, Oct 2023). ~17 employees (frontmatter) but Crunchbase says 1-10. ~610 LinkedIn followers. PitchBook listed. Assessed ‘Awardable’ for government procurement (Sep 2024) — significant for enterprise/government sales. Expanding operations to Australia (Dec 2025), citing mature regulation and cross-border capital markets. Tapped advisors in AI security, defense, and government administration (LegalTech Talk, Dec 2025). Centroid partnership for AI guardrails implementation — blog post details Data Masker preventing proprietary information from AI training data. Two domains: guardrail.tech (primary) and trustguardrail.com. AI Portal X review: ‘enterprise platform that delivers privacy, policy, and governance controls for generative AI.’ Futurepedia review describes it as a control and security layer around generative and agentic AI. InheritX portfolio company. Delivers compliance-ready reporting and real-time risk alerts. No G2/Capterra reviews. No Reddit mentions. No pricing published.

Company Info

  • Founded: 2020
  • Team size: 1-10 employees
  • Funding: $2M
  • HQ: United Kingdom
  • Sector: Governance/Compliance/Risk Management

What We Haven’t Verified

This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.

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