Senior Solutions Engineer

RecordPoint named in 2026 Responsible AI Solutions overview. May 5, 2026 By PR Newswire Analyst focus on data and AI governance in regulated industries is growing SEATTLE, May 5, 2026 /PRNewswire/ - RecordPoint, the global data-trust platform, has been named in Forrester Research's The Responsible AI Solutions Landscape, Q2 2026, which RecordPoint believes is evidence of growing analyst attention on data governance as a prerequisite for responsible AI adoption. To RecordPoint, its inclusion in the Forrester overview reflects its work helping highly regulated organizations - including government agencies and major financial institutions - govern data and AI systems at scale. RecordPoint and other responsible AI solution vendors are addressing one of the most pressing challenges in enterprise technology: ensuring AI systems operate on trusted, well-governed information. "Responsible AI is an immediate operational requirement," RecordPoint CEO Anthony Woodward said. "Organizations are deploying AI now, and many are doing so without a clear view of what data those systems are touching, how it's classified, or whether it's being used appropriately. That's a significant liability." RecordPoint provides end-to-end automated governance across enterprise data and AI systems, giving organisations continuous visibility and control over how information is accessed and used. Policies are enforced in the background, enabling teams to meet compliance obligations without disrupting day-to-day operations. The platform integrates with existing enterprise environments, eliminating the need for costly migrations or manual oversight while maintaining a defensible audit trail. The platform currently processes more than 15 million data transactions per day and manages nearly four billion records globally. Its client base spans some of the world's most heavily regulated environments, including the City of New York, Westpac, NAB, Macquarie, and regulatory bodies including APRA and ASIC. Woodward said the scale of adoption reflects how seriously organisations are taking data governance as an AI prerequisite. "We talk a lot about AI's potential, but not enough about what needs to happen before you can realize it. AI thrives on discernible, organized, governed data. Without that foundation, even the best models will return unreliable outputs, expose sensitive information, or in the worst case fall foul of regulators," he said. "The organizations that are moving fastest with AI are the ones that got their data house in order first. That's what this recognition is really about. The governance layer is no longer optional." The listing comes during a significant period of growth for RecordPoint. The company recently expanded its Victorian Government footprint to cover around 80 per cent of departments and acquired Redactive, an AI startup specializing in sensitive data discovery and permissions assurance. Together, these developments position RecordPoint to address the full lifecycle of AI governance - from data classification and access control through to compliance reporting and defensible disposal. The Responsible AI Solutions Landscape overview is available to Forrester subscribers and for purchase at forrester.com. About RecordPoint Founded in 2009 and headquartered in Sydney, RecordPoint is a global data-trust platform that enables organisations to discover, govern and control their information across systems, clouds and repositories. The platform provides AI-driven classification, regulatory compliance, lifecycle management and defensible disposal at enterprise scale. RecordPoint serves leading financial services institutions, government agencies and regulated industries worldwide. Disclaimer: Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. This report is part of a broader collection of Forrester resources, including interactive models, frameworks, tools, data, and access to analyst guidance. For more information, read about Forrester's objectivity here. The information provided in this article was created by Cision PR Newswire, its news partner. The author's opinions and the content shared on this page are their own and may not necessarily represent the perspectives of Thailand Business Directory.

RecordPoint MCP Server standardizes and secures AI access to compliant data. RecordPoint has unveiled its model context protocol (MCP) server, giving enterprises a secure, standardized way to expose governed data to external AI agents and platforms. The RecordPoint MCP Server allows any AI system, copilot, agent, or custom LLM app to safely access governed, compliant data from the RecordPoint platform without custom integrations or elevated permissions. By standardizing how AI systems discover and use governed resources, the RecordPoint MCP Server eliminates data fragmentation and accelerates AI adoption. It is the safest, most future-proof way to deliver compliant, governed data into any AI environment. RecordPoint Head of Product Joseph Pearce said, "If you're building AI agents, deploying AI platforms, or scaling AI adoption across the enterprise, the RecordPoint MCP Server gives you the governed data connectivity you need without the security and compliance headaches." "You don't have to wait 18 months to clean up your SharePoint, Google Drive, or file shares. You can safely expose them today." Enterprises working with AI today face a challenge: to get the most out of their AI tools, they need to provide them with data. But giving them governed, compliant data introduces serious risks: compliance teams lack visibility and control over what they can access, current integrations are proprietary, inconsistent, or insecure, and a lack of standardization slows AI transformation. The RecordPoint MCP Server brings governed enterprise data into the MCP ecosystem. With this capability, enterprises can connect any AI system to their governed records, allowing AI to interpret, reason over, and take compliant action on trusted information. "Most governance vendors are still figuring out how to bolt AI onto their existing architectures. But every bespoke AI integration becomes another pathway auditors will ask you to explain," Joseph Pearce said. The RecordPoint platform was built from the ground up to focus on the data, allowing it to handle the complexity of modern data estates. The RecordPoint MCP Server replaces the sprawl with a standardized, permissioned, and auditable way for AI systems to access governed records, so highly regulated customers can move faster from pilot to production without relaxing controls or granting elevated access. "This MCP Server is a standard interface for AI systems to tap into to receive compliant, governed data, regardless of where you are on your governance journey," RecordPoint Head of Product Joseph Pearce said. Every bespoke AI integration becomes another pathway auditors will ask you to explain. The RecordPoint MCP Server replaces that sprawl with a standardized, permissioned, and auditable way for AI systems to access governed records, so highly regulated customers can move faster from pilot to production without relaxing controls or granting elevated access. Key capabilities of the RecordPoint MCP Server: * Governed data exposure without leaking sensitive content * Permissioned and auditable AI access * Seamless integration with any AI agent or platform More about