The Rise of AI Chatbots and Enterprise Search Tools
Enterprise AI chatbots and AI-enabled search tools, such as Copilot for Microsoft 365 and Glean, are transforming how organizations discover and interact with institutional knowledge. While these tools drive productivity by making it easier to find critical information, they also introduce significant security, privacy, and compliance risks through data leakage. We’ve published a new Solution Brief outlining this issue and how Knostic helps enterprises tackle it, summarized in this post.
The Data Leakage Challenge in the LLM Era
The Large Language Models (LLMs) used in these tools often overshare information, violating the principle of "need-to-know." This increases the risk of exposing sensitive or unauthorized content. The need for robust data protection is more pressing than ever.
Why Traditional Access Controls Are Insufficient for LLMs
Traditional data permissions and access controls (IAM and RBAC) fall short when it comes to managing the unique behavior of LLMs. These models can infer confidential information, even from limited data, and lack the granular authorization capabilities that organizations need to safeguard sensitive content.
How Knostic Helps Mitigate LLM Data Leakage Risks
We help organizations continuously identify and remediate data exposure and leakage in LLM-powered enterprise search tools, such as Copilot and Glean. The platform flags sensitive information that may be inadvertently exposed or at risk of leaking.
Knostic’s solution ensures that enterprise data is safeguarded without slowing down innovation. By automating the detection and remediation of LLM data exposure, Knostic helps organizations mitigate the security, privacy, and compliance risks associated with AI chatbots and enterprise search tools.
Secure Your Enterprise's Data with Knostic
To learn more about how Knostic can help safeguard your enterprise's data and enable secure use of AI-powered tools, download the full solution brief.
