GenAI Output Scanning With Easter Eggs to Block Information Leaks
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Solution Overview
Problem
Generative artificial intelligence (GenAI) models are vulnerable to cyberattacks that manipulate their outputs to leak sensitive information or behave undesirably, posing risks such as data leakage and unauthorized access.
Innovation Solution
Implementing a monitoring environment with an analysis engine and remediation engine to scan outputs for Easter eggs, which are specialized tags, and initiate remediation actions to thwart information leaks by sanitizing or modifying outputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If GenAI models are used to process user prompts, then productivity and user service capability are improved, but the models become vulnerable to cyberattacks that can manipulate outputs to leak sensitive information
Solution Approach 1:
The patent introduces an intermediary scanning system that sits between the GenAI model and the user interface. This intermediary layer scans model outputs for Easter eggs before displaying them to users, effectively mediating the interaction and blocking malicious content without affecting the model's core functionality or productivity.
Solution Approach 2:
The system applies preliminary anti-action by proactively scanning outputs for Easter eggs before they can be displayed to users. The scanning process detects potential information leakage attempts in advance and prevents them from reaching the user interface, countering attacks before they can succeed.
2Measurement precision
If Easter eggs are embedded in system prompts to detect attacks, then security detection capability is improved, but the risk of accidental leakage of sensitive information increases
Solution Approach 1:
The system implements feedback by scanning outputs for Easter eggs and using the detection results to determine whether to display content. When an Easter egg is detected, the system provides feedback by blocking the output and optionally alerting administrators, creating a closed-loop security mechanism that prevents accidental leakage while maintaining detection capability.
Solution Approach 2:
The scanning system acts as an intermediary that separates the Easter egg detection mechanism from the user interface. This intermediary layer ensures that even if Easter eggs are present in outputs, they are filtered before reaching users, preventing accidental information leakage while preserving the detection capability.
3Reliability
If output scanning is implemented to detect Easter eggs, then security against adversarial attacks is improved, but system complexity and processing time increase
Solution Approach 1:
The system applies partial action by scanning only for specific Easter egg patterns rather than performing comprehensive output analysis. This targeted approach provides sufficient security against adversarial attacks while minimizing the addition of system complexity and processing overhead.
4Reliability
If remediation actions are taken to sanitize outputs, then information leakage is prevented, but the quality and completeness of user responses may deteriorate
Solution Approach 1:
The system extracts and removes only the malicious Easter egg portions from outputs while preserving the rest of the content. This selective extraction approach prevents information leakage by removing harmful elements while maintaining the quality and completeness of legitimate user responses.
Data Source
AI summary
An output of a GenAI model responsive to a prompt is received. The GenAI model is configured using one or more system prompts including one or more Easter eggs. The output is scanned to confirm whether an Easter egg is present. In cases in which at least one Easter egg is present, one or more remediation actions can be initiated to thwart an information leak by the GenAI model. Related apparatus, systems, techniques and articles are also described.