Webinar: How to Protect Your Company from GenAI Data Leakage Without Losing It's Productivity Benefits

GenAI has become a table stakes tool for workers, owing to the productivity increases and new features it delivers. Developers use it to build code, financial teams use it to analyze information, and sales teams produce customer emails and assets. Yet, these capabilities are precisely the ones that create major security vulnerabilities.

Register to our next webinar to understand how to avoid GenAI data leaks

When workers submit data into GenAI platforms like ChatGPT, they frequently do not discriminate between sensitive and non-sensitive data. Research by LayerX suggests that one in three workers who utilize GenAI technologies, also communicate sensitive information. This might contain source code, internal financial information, company strategies, IP, PII, customer data, and more.

Security teams have been working to solve this data exfiltration vulnerability ever since ChatGPT tumultuously invaded our lives in November 2022. Yet, thus far the conventional strategy has been to either "allow all" or "block all", i.e enable the usage of GenAI without any security guardrails, or prevent the use completely.

This strategy is particularly unproductive since either it opens the gates to danger without any effort to safeguard company data, or puts security above commercial advantages, with organizations missing out on the productivity improvements. In the long term, this might lead to Shadow GenAI, or – even worse—to the firm losing its competitive advantage in the market.

Can enterprises secure against data breaches while still exploiting GenAI's benefits?#

The solution, as usual, includes both knowledge and tools.

The first step is determining and mapping which of your data needs security. Not all data should be shared—business strategies and source code, for sure. But publicly accessible information on your website may securely be put into ChatGPT.

The second step is defining the amount of restriction you'd want to put on workers when they try to paste such sensitive material. This might mean full-blown blocking or merely notifying them ahead. Alerts are beneficial because they assist teach workers on the relevance of data hazards and foster autonomy, so employees may make the option on their own based on a balance between the sort of data they're inputting and their need.

Now it's time for the tech. A GenAI DLP solution may enforce these restrictions —granularly evaluating employee behaviors in GenAI apps and preventing or notifying when workers try to insert sensitive material into it. Such a system may also deactivate GenAI extensions and apply various restrictions for different users.

In a new webinar by LayerX specialists, they dig into GenAI data threats and present best practices and practical strategies for safeguarding the company. CISOs, security specialists, compliance offices - Register here.