Resillion AI Assurance Platform
The facts below are what the maker publishes about Resillion AI Assurance Platform, checked and dated. Our editors have not written about it yet.
The facts
Each one read from Resillion AI Assurance Platform's own pages, with the date it was checked.
What it does
- Audit evidence
- The described responsible AI assets support control evidence, reporting, and documentation patterns for building consistent audit evidence.checked 11 Oct 2026
- Compliance caveat
- Resillion says its framework helps provide proof for regulators, auditors and boards but does not replace legal advice.checked 4 Oct 2026
- Delivery model
- Resillion teams apply its AI assurance framework and reusable accelerator assets as internal delivery assets.checked 11 Oct 2026
- Intended users
- The page describes evidence for regulators, auditors and governance teams, and assurance support for organisations adopting AI.checked 4 Oct 2026
- Lifecycle coverage
- The framework covers requirements, data preparation, model development, validation, deployment, testing, and monitoring.checked 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.checked 4 Oct 2026
- Monitoring
- The platform description says teams monitor drift, model changes, and control effectiveness.checked 11 Oct 2026
- Ongoing monitoring
- The platform’s described monitoring covers drift, model change and control effectiveness.checked 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.checked 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.checked 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.checked 11 Oct 2026
- Security risks
- The platform framework addresses threats including data poisoning, prompt injection, credential leakage, and OWASP AI Top 10 risks.checked 11 Oct 2026
- Support
- The product page invites prospective customers to contact Resillion and speak with an AI assurance expert.checked 11 Oct 2026
- Testing
- The described testing includes functional, non-functional, user acceptance, data validation, model quality, bias, fairness, and hallucination testing.checked 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.checked 11 Oct 2026
- Who it is for
- Resillion presents the platform for organisations seeking to scale AI adoption while managing risk and supporting compliance and trust.checked 11 Oct 2026
The company
- Company certifications
- Resillion’s compliance page lists ISO 9001 and ISO 27001, among other certifications and accreditations.checked 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.checked 4 Oct 2026
- Maker security credentials
- Resillion's compliance page lists ISO 27001 Information Security Management System certificates, with global and China certificates linked.checked 11 Oct 2026
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