2026数据安全指数_数据保护与AI创新的融合研究报告_23页_3mb

Data Security Index Summary

Core Content

The Data Security Index explores the evolving relationship between data security and AI innovation, particularly in the context of generative AI (GenAI). It highlights how organizations are responding to the challenges and opportunities presented by AI adoption, emphasizing the need for integration, intelligence, and responsible AI use to ensure security and compliance are not compromised.

Main Views

1. From Fragmented Tools to Unified Data Security

• Organizations are moving towards integrated platforms to improve data security, visibility, and governance.
• Data Security Posture Management (DSPM) is becoming a key strategy, helping teams manage data risk, access control, and policy enforcement.
• 86% of surveyed leaders prefer integrated platforms over fragmented tools.
• 80%+ of organizations are implementing or developing DSPM strategies.

2. Managing AI-Driven Productivity Securely

• The adoption of GenAI is increasing, but it brings new data risks, especially from unauthorized or unmonitored use.
• 70%+ of global knowledge workers use their own AI tools at work.
• 32% of data security incidents involve GenAI usage.
• Organizations are implementing controls and policies to manage GenAI use, including blocking unauthorized uploads and training employees on secure practices.

3. Strengthening Data Security with GenAI

• GenAI is being used to enhance data security programs through automation, agents, and real-time insights.
• 82% of organizations have developed plans to use GenAI in data security, up from 64% in 2024.
• 39% are already using GenAI agents, while 58% are exploring or piloting them.
• GenAI agents are used for risk detection, data classification, incident investigation, and policy refinement.
• Human oversight remains critical to ensure accuracy, fairness, and trust in AI-driven security decisions.

Key Information

Top Goals for Data Security Investments

• Staying ahead of evolving data security risks: 57%
• Protecting sensitive data: 56%
• Enabling secure innovation: 53%
• Ensuring safe and responsible GenAI use: 52%

Top Challenges with Data Visibility

• Poor integration with data security platforms: 29%
• Lack of a unified view across environments: 25%
• Disparate tools with no centralized dashboard: 23%

Top Benefits of Consolidation

• Improved threat detection and response: 64%
• Easier for data security teams to manage: 63%
• Better visibility into data risks: 56%

GenAI Usage in Data Security

• Detecting critical data security risks: 43%
• Investigating potential incidents: 43%
• Discovering sensitive data: 44%
• Assessing data security posture: 42%
• Securing data environments: 41%
• Fine-tuning data security policies: 38%

Confidence in GenAI for Security

• 92% of surveyed decision-makers feel confident using GenAI to strengthen data security, up from 86% in 2024.

The Path Forward

To ensure secure and responsible AI adoption, organizations should:

1. Integrate data security, visibility, and governance into a unified platform.
2. Leverage DSPM to proactively manage data risks and enforce consistent policies.
3. Build shared accountability across IT, security, and compliance teams.
4. Strengthen visibility and control over GenAI usage to prevent unauthorized data exposure.
5. Implement proactive protection policies to block sensitive data from entering GenAI tools.
6. Educate and empower employees to use GenAI responsibly.
7. Embed GenAI into security workflows to enhance detection, investigation, and response.
8. Use GenAI agents for automation and real-time recommendations.
9. Maintain human oversight to guide and validate AI-driven outcomes.

Regional Insights

US

• +9% pressure to prove ROI of data security
• +15% anticipate more security incidents due to GenAI use
• +6% more challenged with inaccurate/incomplete data classification
• +5% more challenged in managing DSPM due to too many disconnected tools

LATAM

• +7% more likely to anticipate budget increases
• +14% more likely to have a fully implemented DSPM strategy
• +7% more controls around employee GenAI use

EMEA

• -5% less concerned about data protection in GenAI apps/tools
• -4% less likely to have controls for identifying risky users
• -4% less use of GenAI agents for data security

APAC

• +45% more data security incidents in the past 12 months
• +4 days more time to detect and respond to incidents
• +5% more demand for data security staff
• +5% GenAI apps more often compromised in security incidents

Research Objectives and Methodology

• Objectives: Understand the data security landscape, explore future strategies, and uncover the impact of GenAI on data security.
• Methodology: A multi-national survey of 1,725 data security leaders conducted from July 16-August 11, 2025, including 10 in-depth interviews with leaders in the US and UK.

Final Recommendations

• Integration for Greater Visibility: Use integrated platforms and DSPM to achieve unified visibility and control.
• Stay Productive, Stay Protected: Balance AI innovation with security governance.
• Smarter, Faster, Safer: Combine GenAI's analytical power with human judgment to enhance security outcomes.