--- title: "Trustero AI 通过统一的多代理系统重新构想合规证据管理" type: "News" locale: "zh-CN" url: "https://longbridge.com/zh-CN/news/279468765.md" description: "Trustero AI 宣布对其证据管理系统进行重大重新发布，推出一个统一的智能平台，自动化证据收集、控制映射和分析。该新系统旨在消除手动流程，降低审计风险，并为组织节省大量时间。主要功能包括来自各种系统的集中证据收集、人工智能驱动的映射，以及互动式人工智能助手 TI Copilot，以增强数据分析。Trustero 的解决方案旨在提高企业的合规效率和有效性" datetime: "2026-03-17T16:55:41.000Z" locales: - [zh-CN](https://longbridge.com/zh-CN/news/279468765.md) - [en](https://longbridge.com/en/news/279468765.md) - [zh-HK](https://longbridge.com/zh-HK/news/279468765.md) --- # Trustero AI 通过统一的多代理系统重新构想合规证据管理 **New capabilities eliminate manual evidence collection, automate control mapping, and unlock deeper compliance intelligence, saving organizations hundreds of hours annually** PALO ALTO, Calif., March 17, 2026 /PRNewswire/ -- Trustero AI, a leader in Multi-Agent AI for governance, risk, and compliance (GRC) solutions, today announced a major relaunch of its Evidence Management system, delivering a fully unified, intelligent system that transforms how enterprises collect, map, and analyze compliance evidence. For many organizations, compliance evidence is scattered across dozens of disconnected repositories, collected manually, and left static after upload. Trustero's reimagined Evidence Management system solves this end-to-end, from automated collection and centralized storage to AI-powered analysis that turns raw evidence into actionable compliance intelligence. **The Problem: Scattered, Static Evidence is Costing Organizations Thousands of Hours** Modern enterprises manage compliance evidence across a growing number of systems, including SharePoint folders, cloud environments, ticketing tools, and more. Managing this sprawl manually creates audit risk, operational inefficiency, and significant staff burden. Traditional GRC platforms offer little relief, relying on slow, error-prone manual uploads with no analytical value once evidence is collected. **The Solution: A Unified, Intelligent Evidence System** Trustero's enhanced Evidence Management system introduces three transformative capabilities: 1. **Centralized Evidence Collection.** Trustero's Receptors automate evidence collection from dozens of popular systems, including AWS, Jira, and more. The new Folder Scan capability syncs entire directories from existing repositories like SharePoint and Google Drive, eliminating manual uploads and giving compliance teams a single, trusted source of truth across all their evidence. 2. **AI-Powered Evidence-to-Control Mapping.** Once evidence is collected, Trustero's AI analyzes both the evidence and potential controls to automatically recommend the best match, removing the need for manual mapping This dramatically accelerates the compliance workflow and reduces the risk of mismatched or missing evidence during audits. 3. **Trustero Intelligence (TI) Copilot.** The TI Copilot will bring an interactive AI assistant working with agents directly into the evidence workflow, enabling teams to query, correlate, filter, and analyze evidence using natural language. Key capabilities include: - **Correlation:** Combine multiple pieces of evidence to generate new "derived evidence." - **Row-by-Row Analysis:** Perform automated counting and pass/fail analysis on tabular evidence. - **Random Sampling:** Select random samples from population evidence data to generate new "derived evidence." - **Natural Language Filtering:** Slice large datasets instantly (e.g., "show only production environment data"). - **Semantic Search:** Query evidence content using goal-based queries. - **Playbooks:** Save any Copilot workflow as a reusable, scheduled playbook, such as a weekly executive risk report. Additionally, Trustero's unique versioning capability stores every version of collected evidence and automatically surfaces the version applicable to each audit's specific time frame, ensuring accuracy and eliminating guesswork during audits. **Real-World ROI** Trustero customers are already realizing significant time savings by automating high-risk compliance controls. Companies, for example, are using Trustero AI to automate monitoring across 112 high-risk controls, reducing manual effort and enabling continuous compliance at scale. A centralized evidence repository also serves as the foundation for automating adjacent processes, including security questionnaires, further expanding ROI across the compliance function. **What Leaders Are Saying** **Phil Liu, CEO of Trustero AI:** "Compliance teams have been stuck managing evidence the hard way for too long. Scattered repositories, manual uploads, and static data are audit risks hiding in plain sight. With our reimagined Evidence Management system, we are giving organizations the ability to not just collect evidence more efficiently, but to actually put it to work. The intelligence layer we are building on top of centralized evidence is where the real value lives, and we are just getting started." **David Marsyla, VP of Engineering at Trustero AI:** "What we have built is not just a better way to collect evidence, it is a fundamentally smarter system. The recursive folder scan alone eliminates hours of manual work for teams managing evidence across multiple repositories. And when TI Copilot arrives, compliance teams will be able to interact with their evidence in ways that simply were not possible before, running analyses, generating reports, and surfacing insights on demand. This is a step change in what GRC technology can do." **About Trustero AI** Trustero AI is an Multi-Agent governance, risk, and compliance system built to help organizations automate and continuously monitor their compliance programs. By combining intelligent evidence collection, AI-driven analysis, and automated control mapping, Trustero enables enterprises to achieve and maintain compliance faster, with less manual effort and greater confidence. View original content to download multimedia:https://www.prnewswire.com/news-releases/trustero-ai-reimagines-compliance-evidence-management-with-unified-multi-agent-system-302716253.html SOURCE Trustero ### 相关股票 - [XSW.US](https://longbridge.com/zh-CN/quote/XSW.US.md) - [XDAT.US](https://longbridge.com/zh-CN/quote/XDAT.US.md) - [DAT.US](https://longbridge.com/zh-CN/quote/DAT.US.md) - [IGV.US](https://longbridge.com/zh-CN/quote/IGV.US.md) - [CLOU.US](https://longbridge.com/zh-CN/quote/CLOU.US.md) - [AI.US](https://longbridge.com/zh-CN/quote/AI.US.md) - [AIYY.US](https://longbridge.com/zh-CN/quote/AIYY.US.md) - [LRNZ.US](https://longbridge.com/zh-CN/quote/LRNZ.US.md) - [IXN.US](https://longbridge.com/zh-CN/quote/IXN.US.md) ## 相关资讯与研究 - [微软联手安永豪掷 10 亿美元，五年攻坚企业 AI 落地难问题](https://longbridge.com/zh-CN/news/287225913.md) - [分析师称 CrowdStrike 涨势还未结束，AI 威胁可能提供上行空](https://longbridge.com/zh-CN/news/287012485.md) - [字节凭什么又牛了？](https://longbridge.com/zh-CN/news/287045541.md) - [谷歌升级搜索体验迎接 AI 时代 并推出新编程工具](https://longbridge.com/zh-CN/news/286958438.md) - [从 Meta 被裁到 46 亿美金联创：田渊栋官宣前的最后一次独家对话](https://longbridge.com/zh-CN/news/287042444.md)