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From 2024 to 2025, China’s capital markets remain highly active: IPO and refinancing scale exceeded 1.2 trillion RMB, new PE fundraising surpassed 2.5 trillion RMB, and M&A/reorganization deals exceeded 3.8 trillion RMB. Behind every transaction lies terabytes of highly sensitive financial models, due diligence reports, valuation data, and confidential agreements. Traditional methods (email, WeChat, Google […]

In 2025, the A-share and Hong Kong IPO markets remain highly active, with average due-diligence cycles still exceeding 100 days. Behind every prospectus lies tens of thousands of highly confidential documents: financial models, core technology disclosures, related-party transactions, and equity structures. A single leak can lead directly to termination of listing, regulatory penalties, or tens

Introduction: Revolutionizing M&A Workflows in a Deal Boom Global M&A activity exploded in 2025, reaching $4.3 trillion in volume—a 39% leap from 2024, driven by AI synergies, cross-border expansions, and sector consolidations in tech and pharma. However, this surge magnifies traditional pitfalls: sensitive files shuttled via insecure channels invite breaches averaging $4.88 million each, due

In 2025, global M&A deal value is projected to exceed $4.5 trillion, while the number of IPOs and large-scale financing rounds continues to surge. Yet behind every high-stakes transaction lies the same nightmare: confidential data leakage, endless permission chaos, painfully long due-diligence cycles, and mounting regulatory pressure. Traditional tools — email, USB drives, or generic

Safeguarding Secrets in the Era of Intensified Due Diligence As enterprises navigate 2025’s volatile deal landscape, due diligence demands have skyrocketed—global M&A deal values climbed 15% in the first half of the year, while IPO proceeds surged 31% year-to-date through Q3. Yet, this boom amplifies risks: confidential files—financials, IP disclosures, legal contracts—face rampant leakage via

File Blackout Software: A Must-Have for Enterprise Sensitive Data Security In today’s data-driven enterprise landscape, sensitive information—from financial records and employee IDs to patient health data and legal contracts—lives in countless files. File blackout (the process of permanently hiding sensitive content via opaque blocking) is the most reliable way to prevent unauthorized access to this data. However,

PDFs in Enterprises: Ubiquitous Yet Plagued by Critical Pain Points PDFs are the backbone of enterprise document workflows—used for financial reporting, client contracts, employee records, medical charts, and cross-departmental communications. Their format stability and compatibility make them indispensable, but enterprises face recurring, costly pain points when masking sensitive information (PII，regulatory data) in PDFs: Manual Processing

Document Sensitive Information Hiding: A Critical Safeguard for Mass User Identity Protection in Medical Research Medical research—from multi-center clinical trials and epidemiological studies to drug development and public health analysis—relies on vast volumes of documents containing mass user identity information (a subset of Protected Health Information, PHI). These documents include: Clinical Research Forms (CRFs) with thousands of

Sensitive Image File Masking: The Unsung Hero of Enterprise Visual Data Security In today’s digital workflow, image files have become irreplaceable for enterprises—medical facilities rely on patient scan images and handwritten  photos; financial institutions use ID card scans and signed contract photos; government agencies manage confidential site photos and handwritten approval documents. Yet these images

Batch File Desensitization: A Critical Need for Enterprise Digital Operations In the era of enterprise digital transformation, batch file processing has become a daily core task—financial departments archive hundreds of monthly expense reports, HR teams manage thousands of employee files quarterly, supply chain units circulate bulk procurement contracts, and healthcare providers store massive clinical records.