With the rapid development of generative AI — from ChatGPT to Copilot and countless other tools — AI has already penetrated daily business operations: drafting documents, customer support, software development, and even decision-making.
Yet behind this convenience, new security threats are quietly emerging. Prompt Injection and data leakage are quickly becoming two of the most critical risks enterprises must address.

AI is an accelerator in the digital era, but without proper protection, it may also become the biggest security vulnerability.

Prompt Injection

Prompt Injection is an attack technique where malicious actors embed hidden instructions in inputs or documents. Once an AI system processes these prompts, it may execute unintended tasks, leading to the exposure of sensitive information.

Case Example

• Embedding malicious prompts in public documents or web pages can “trick” an AI into disclosing API keys or confidential data.
• Research has shown that attackers can use Prompt Injection to make AI reveal internal configuration files or even alter its original operational logic.

Potential Risks

• Data Leakage: Corporate documents and personal data may be stolen.
• Model Manipulation: AI may be misled to generate false or malicious outputs, which can trigger fraud or flawed decision-making.

Data Leakage

When employees or users input confidential company information into AI tools, the data may be stored by the model and used in future training or outputs. Without proper safeguards, this creates a serious risk of information exposure.

Real-World Example

• Samsung Incident: Employees used ChatGPT to debug code by inputting proprietary source code. The data unintentionally entered a public AI model, sparking major concerns.
• As a result, many financial, medical, and technology companies have now banned employees from entering sensitive data into public AI platforms.

Potential Risks

• Confidentiality Breach: Proprietary business data or customer information may be absorbed and “learned” by public models.
• Compliance Risks: Violations of GDPR, data protection laws, or cross-border data regulations may lead to legal liabilities and reputational damage.

How Enterprises Should Respond

To address the challenges introduced by generative AI, companies must implement protective measures across both technical and management layers.

Technical Measures

• Zero Trust Architecture: Never assume trust; every request must be verified.
• Multi-Factor Authentication and Access Control: Restrict AI access to sensitive data.
• Dedicated API Gateway: Prevent direct exposure of AI models to external sources, reducing the attack surface.
• Edge Computing and Isolated Environments: Ensure sensitive data remains within enterprise networks for maximum security.

Management Measures

• Employee Training: Raise security awareness and prevent staff from entering confidential or customer data into public AI tools.
• Usage Policies: Establish clear guidelines to define what information can be used with AI and what must remain internal.
• Security Audits: Regularly assess the use of AI tools to ensure compliance with laws and corporate standards.
   

CoreWinner’s Enterprise Security and Network Infrastructure Solutions

As AI adoption accelerates, enterprises need robust infrastructure to mitigate security risks.
As a global provider of network infrastructure and cybersecurity solutions, CoreWinner delivers:

• SD-WAN: Intelligent traffic routing and encrypted transmission to help enterprises quickly build secure cross-border networks with improved stability and efficiency.
• IDC and Cloud Services: Compliant data storage and backup solutions to ensure business continuity and fast response to emergencies.
• Comprehensive Monitoring and Protection: Real-time detection of abnormal traffic and potential threats to proactively reduce risks and safeguard digital assets.
   

Generative AI offers tremendous opportunities, but it also brings unprecedented risks. Prompt Injection and data leakage are just the tip of the iceberg, and AI-related security issues will only grow more complex in the future.

Want to embrace AI while keeping your data secure?
Contact CoreWinner today, and let us be your strongest cybersecurity partner in the era of generative AI.