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[Hongke Insights] Plug the Gaps Before Deploying AI: Minimize Data Breach Risks with “Real-Time Monitoring + Access Control”​

As generative AI and AI agents are widely adopted in enterprises, behaviors such as prompt injection, over-agency, and unintentional data leaks by employees continue to amplify data leakage and compliance risks, creating an urgent need for proactive security solutions. This article leverages the Lepide Data Security Platform to build a comprehensive protection system centered on “pre-deployment governance + in-operation monitoring.” Through real-time sensitive data monitoring, fine-grained permission controls, end-to-end auditing, and automated incident response capabilities, it can integrate with SIEM and SOAR systems to form a closed-loop risk management system. The platform automatically consolidates excessive permissions, and abnormal behavior triggers rapid response measures such as account freezing and system isolation. This addresses the challenges of excessive AI permissions and confidential data leaks while meeting compliance requirements under regulations such as GDPR, thereby establishing a robust data security defense for enterprises implementing AI.

Hongke Solutions] In-depth Analysis of Generative AI Security Risks, Lepide Protects Data Security

Generative AI is changing the technology landscape, bringing innovation and security risks such as data leakage, malicious code, deep forgery and bias. This article explores the key threats of generative AI and describes how Lepide's data security platform helps organizations mitigate risks through real-time monitoring, compliance management, and AI-driven anomaly detection to safeguard data security and compliance.

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