When a new platform team set out to implement their roadmap through forced workflows with poor documentation, developer experience declined. Success came from simplifying governance, prioritizing...

Verified emissions are a decarbonization tool and compliance requirement, but also a means to improve cost control and forecasting. A suite of targeted actions can help EU importers mitigate risk.

How financial institutions can turn mandatory reporting of financed emissions into a growth opportunity.

Elastic Security introduces agentic compliance in Agent Builder, starting with PCI DSS v4.0.1. Ask questions over live telemetry, inspect ES|QL evidence and scope claims, spot data gaps, and...

By first redesigning how decisions flow—clarifying ownership and codifying precedent—the financial services firm was able to rewire its Legal & Compliance group with technology at the core.

State regulatory variations create challenges for insurance companies seeking technology solutions that improve both customer experience and ROI.

We are fully in the era of artificial intelligence (AI), and as businesses unlock unprecedented opportunities for growth and efficiency, AI agents (also known as agentic AI) are providing...

For the Financial services Industry, PCI DSS compliance ensures the secure handling of cardholder data by organizations that process, store, or transmit credit card information. Payment Card Data...

本研究提出了一种新方法，解决了可解释人工智能框架中对预测不确定性忽视的问题。通过使用比例Shapley值，将预测不确定性归因于输入特征，从而提升高风险机器学习应用的理解与沟通效果。

Companies globally say they see room for improvement in governance, risk, and compliance (GRC), a new McKinsey survey shows. But a few are bucking the trend with smarter, more effective capabilities.

本研究提出了一种通过文本注释支持的自动合规检查方法，旨在提高合规检查的效率和准确性。该方法将文本注释转化为机器可理解的OWL DL代码，并在建筑施工领域进行了验证，显示出其在提升合规性检查效率方面的潜力。

Learn how MySQL Enterprise Edition empowers government agencies to secure sensitive data, comply with stringent regulations like NIST and DISA STIG, and achieve digital transformation goals—all...

本研究提出FlowAgent框架，解决传统工作流与大型语言模型结合时的合规性和灵活性不足的问题。通过结合程序描述语言与自然语言，有效处理异常查询，确保流程监督执行，展现出双重优势。

本研究提出了一种自动评估框架，用于检测定制GPT模型的安全和合规性风险。分析结果显示，58.7%的模型存在不合规问题，为提升聊天机器人平台的安全性提供了依据。

本研究提出两种预测性合规监测方法，以量化合规违规程度，提供深入的运营洞察，帮助组织降低违规风险。