I. Compliance and Governance: From "Responding to Inspections" to "Value-Driven"

Regulation has shifted from "whether there are regulations" to "whether they can be implemented", with stricter penalties and more benchmarking, forcing enterprises to implement regular and full-process data protection.

Data security is no longer just "risk prevention", but rather the prerequisite for activating data sharing, compliant cross-border operations, and privacy computing. The security officer has transformed from a "cost position" to a "business enabler".

Data classification, lifecycle management, and data asset mapping (DSPM) have become standard practices. Enterprises must first figure out "what data do we have, where is it, and who is using it".

II. Technological Trends: AI Attacks and Defenses, Zero Trust, Privacy Computing, Quantum Security Are Mainstream

AI deeply integrates into attack and defense:

Attack side: AI automatically scans vulnerabilities, generates phishing content, and conducts data poisoning. The attack threshold is lower and the speed is faster.

Defense side: AI conducts anomaly detection, automatic response, and threat hunting, reducing response time from hours to minutes.

Zero trust becomes a standard in architecture:

Abandoning "trusted internal network", it changes to "never trust, always verify". Minimum permissions, micro-segmentation, identity governance are fully covered, covering cloud, edge, end, and API.

Privacy computing is scaled out:

Federated learning, homomorphic encryption, and differential privacy make "data available but invisible". Medical, financial, and government sectors are the first to implement, and the market size is growing rapidly.