Generative AI applications like ChatGPT have revolutionized content creation for businesses, but they also introduce a new challenge - the risk of exposing sensitive data. This article highlights the potential risks associated with ungoverned ChatGPT usage, emphasizing the need for robust data protection solutions. LayerX introduces a browser security platform as a viable solution, offering real-time monitoring and governance over web sessions to protect against data exposure.
Statistics on ChatGPT Data Exposure:
Employee usage of Generative AI apps has increased by 44% in the last three months.
Generative AI apps, including ChatGPT, are accessed 131 times a day per 1,000 employees.
6% of employees have inadvertently pasted sensitive data into Generative AI apps.
Types of Data at Risk:
Sensitive/Internal Information
Source Code
Client Data
Regulated PII
Project Planning Files
Data Exposure Scenarios:
Unintentional Exposure: Employees may accidentally paste sensitive data into ChatGPT.
Malicious Insider: Rogue employees could exploit ChatGPT to exfiltrate data.
Targeted Attacks: External adversaries could compromise endpoints for ChatGPT-oriented reconnaissance.
Limitations of File-Based DLP Solutions:
Traditional Data Loss Prevention (DLP) solutions are designed to protect data stored in files, rendering them ineffective against data inserted into web sessions like in ChatGPT.
Mitigating Data Exposure Risks:
Blocking Access: Effective but can lead to productivity loss.
Employee Education: Addresses unintentional exposure but lacks enforcement.
Browser Security Platform: Monitors and governs user activity within ChatGPT, effectively mitigating risks without compromising productivity.
Advantages of Browser Security Platforms:
These platforms offer real-time visibility and enforcement capabilities on live web sessions. They can monitor and govern all means by which users provide input to ChatGPT, providing a level of protection that traditional DLP solutions cannot match.
Three-Tiered Approach to Security:
ChatGPT Access Control: Tailored for users handling highly confidential data, this level restricts access to ChatGPT.
Action Governance in ChatGPT: Focuses on monitoring and controlling data insertion actions like paste and fill, mitigating the risk of direct sensitive data exposure.
Data Input Monitoring: Allows organizations to define specific data that should not be inserted into ChatGPT.
Conclusion:
In the era of Generative AI, ensuring data security while harnessing the power of applications like ChatGPT is crucial. A browser security platform emerges as the most effective solution, enabling organizations to use AI-driven text generators to their full potential without compromising on data security. This approach sets a new standard in data protection for the age of Generative AI.
