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Resillion AI Assurance Platform

What Resillion AI Assurance Platform is
Resillion AI Assurance Platform is a managed service for checking AI data, models, and outputs throughout the AI lifecycle. Its framework covers requirements, data preparation, model development, validation, deployment, testing, and monitoring. Listed tests include functional and non-functional behavior, user acceptance, data validation, model quality, bias, fairness, and hallucinations. The approach also addresses data poisoning, prompt injection, credential leakage, and OWASP AI Top 10 risks. Resillion says its work can support evidence related to the EU AI Act, NIS2, ISO/IEC 42001, and GDPR. Reusable assets cover validation, bias and fairness, behavioral boundary analysis, hallucination detection, and responsible-AI evidence. Monitoring includes drift, model changes, and control effectiveness. Resillion experts apply the framework with tools suited to each organization and embed assurance early in development. The service supports reporting, documentation, and audit evidence, but Resillion says it does not replace legal advice.
Who it suits
It is aimed at organizations adopting AI and teams responsible for governance, audits, regulators, risk, and compliance evidence. Prospective customers can contact Resillion to speak with an AI assurance expert.
What it does well
- Covers the full AI lifecycle
- Includes bias, fairness, and hallucination testing
- Addresses listed AI security risks
- Supports several compliance frameworks
- Provides monitoring and audit evidence assets
What to know first
- Pricing is available only on request
- Framework does not replace legal advice
- Managed delivery relies on Resillion experts
Verdict
Resillion offers a managed assurance approach spanning AI development, testing, deployment, and monitoring. It is suited to organizations that need structured risk controls and supporting evidence while scaling AI adoption.
Facts from Resillion AI Assurance Platform's own pages
- Audit evidence
- The described responsible AI assets support control evidence, reporting, and documentation patterns for building consistent audit evidence. · resillion.com, 11 Oct 2026
- Company certifications
- Resillion’s compliance page lists ISO 9001 and ISO 27001, among other certifications and accreditations. · resillion.com, 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, 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, 4 Oct 2026
- Delivery model
- Resillion teams apply its AI assurance framework and reusable accelerator assets as internal delivery assets. · resillion.com, 11 Oct 2026
- Intended users
- The page describes evidence for regulators, auditors and governance teams, and assurance support for organisations adopting AI. · resillion.com, 4 Oct 2026
- Lifecycle coverage
- The framework covers requirements, data preparation, model development, validation, deployment, testing, and monitoring. · resillion.com, 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, 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, 4 Oct 2026
- Monitoring
- The platform description says teams monitor drift, model changes, and control effectiveness. · resillion.com, 11 Oct 2026
- Ongoing monitoring
- The platform’s described monitoring covers drift, model change and control effectiveness. · resillion.com, 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, 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, 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, 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, 11 Oct 2026
- Support
- The product page invites prospective customers to contact Resillion and speak with an AI assurance expert. · resillion.com, 11 Oct 2026
- Testing
- The described testing includes functional, non-functional, user acceptance, data validation, model quality, bias, fairness, and hallucination testing. · resillion.com, 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, 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. · resillion.com, 11 Oct 2026
Where Resillion AI Assurance Platform stands on Freedom251
- AI Governance Software#50 of 56
- AI governance tools#53 of 56