Sensitive Information Exfiltration

Sensitive Information Exfiltration is the unauthorized transfer or extraction of confidential, private, or protected information from an AI system, application, or connected data source.

What is Sensitive Information Exfiltration?

Sensitive information exfiltration occurs when an attacker, malicious user, or compromised AI workflow causes protected data to leave its intended environment. In AI systems, this can involve prompts, model responses, connected databases, uploaded files, credentials, or personal information being exposed through unintended outputs, tool calls, or external services.

Why is Sensitive Information Exfiltration Important?

Sensitive information exfiltration can lead to data breaches, privacy violations, financial losses, and regulatory consequences. AI systems can increase this risk because they may have access to large datasets, external tools, APIs, and business systems, making strong access controls, monitoring, and output protection important.

Common use cases

Sensitive Information Exfiltration is relevant to AI security monitoring, data loss prevention, prompt injection protection, insider threat detection, API security, and enterprise AI governance.