- Home
- AI governance tools
- Resillion AI Assurance Platform
On the recordRead 11 Oct 202619 facts
Resillion AI Assurance Platform
On the record
- Audit evidence
- The described responsible AI assets support control evidence, reporting, and documentation patterns for building consistent audit evidence.resillion.com · read 11 Oct 2026
- Company certifications
- Resillion’s compliance page lists ISO 9001 and ISO 27001, among other certifications and accreditations.resillion.com · read 4 Oct 2026
- Company scale
- Resillion says it works with brands across industries and has over 700 experts across Europe, the UK, the USA, India and China.resillion.com · read 4 Oct 2026
- Compliance caveat
- Resillion says its framework helps provide proof for regulators, auditors and boards but does not replace legal advice.resillion.com · read 4 Oct 2026
- Delivery model
- Resillion teams apply its AI assurance framework and reusable accelerator assets as internal delivery assets.resillion.com · read 11 Oct 2026
- Intended users
- The page describes evidence for regulators, auditors and governance teams, and assurance support for organisations adopting AI.resillion.com · read 4 Oct 2026
- Lifecycle coverage
- The framework covers requirements, data preparation, model development, validation, deployment, testing, and monitoring.resillion.com · read 11 Oct 2026
- Maker security credentials
- Resillion's compliance page lists ISO 27001 Information Security Management System certificates, with global and China certificates linked.resillion.com · read 11 Oct 2026
- Managed assurance
- Resillion describes the platform as a managed way to assure AI data, models and outputs using its framework and reusable accelerator assets.resillion.com · read 4 Oct 2026
- Monitoring
- The platform description says teams monitor drift, model changes, and control effectiveness.resillion.com · read 11 Oct 2026
- Ongoing monitoring
- The platform’s described monitoring covers drift, model change and control effectiveness.resillion.com · read 4 Oct 2026
- Regulatory alignment
- The framework is intended to help structure evidence for requirements such as the EU AI Act, NIS2, ISO/IEC 42001, and GDPR; Resillion says it does not replace legal advice.resillion.com · read 11 Oct 2026
- Responsible AI capability
- Resillion describes practical learning paths, AI Champions and live innovation initiatives to build its teams’ responsible AI delivery skills.resillion.com · read 4 Oct 2026
- Reusable assets
- Resillion says its reusable test assets, scripts, and assurance patterns cover data, models, behaviours, and outputs and reduce the effort to build evidence from scratch.resillion.com · read 11 Oct 2026
- Security risks
- The platform framework addresses threats including data poisoning, prompt injection, credential leakage, and OWASP AI Top 10 risks.resillion.com · read 11 Oct 2026
- Support
- The product page invites prospective customers to contact Resillion and speak with an AI assurance expert.resillion.com · read 11 Oct 2026
- Testing
- The described testing includes functional, non-functional, user acceptance, data validation, model quality, bias, fairness, and hallucination testing.resillion.com · read 11 Oct 2026
- What it does
- Resillion describes the AI Assurance Platform as a managed approach to testing and monitoring AI data, models, and outputs across the AI lifecycle.resillion.com · read 11 Oct 2026