Exporting Results to Excel#

Prompt Attack provides a streamlined feature for exporting adversarial prompt results into an Excel file, ensuring structured tracking, analysis, and reporting. This functionality is vital for security teams, particularly Blue Teams, as it enables systematic evaluation of threats, refinement of defenses, and overall enhancement of LLM security postures.

This guide explains the process of preparing data for export, performing the export, and leveraging the exported results for analysis and reporting.

Populating the Prompt List#

Before exporting, ensure the Prompt Attack module is populated with adversarial prompts. This module houses all the test data required for export, either through automatically generated prompts or manually crafted entries. Each entry typically contains the following attributes:

  • Attack Type Identifies the category of the adversarial prompt, such as Security or Safety.

  • Technique Specifies the adversarial approach employed, such as Prompt Injection, Prompt Probing, or Text Completion attacks.

  • Prompt Text The specific adversarial input tested against the LLM.

  • Expected Response Describes the intended response of the LLM when confronted with the adversarial input. Examples include rejecting a harmful request or disclosing sensitive information.

  • Test Results Indicates the outcome of the test, categorized as:

    • Exploited: The attack successfully bypassed the model’s defenses.

    • Blocked: The model mitigated the attack by adhering to safety and security protocols.

Exporting Data to Excel#

Exporting adversarial prompt results to Excel is a straightforward process. Follow these steps to complete the export:

  1. Access the Export Button Navigate to the Adversarial Prompt Generator module and locate the “Export to Excel” button positioned in the top-right section of the interface.

  2. Initiate the Export Click on the Export to Excel button. This action triggers the system to compile all currently displayed entries into a downloadable Excel file.

Note

The system captures only the data currently displayed in the module. Ensure that all desired entries you want to export are available in the table before initiating the export.

Download and Save#

Once the export process is initiated:

  • The system will generate an Excel file in .csv format containing all adversarial prompt entries from the module.

  • The file will be automatically downloaded to the user’s local machine.

  • The exported file can then be accessed offline for analysis, record-keeping, or sharing with other stakeholders.

This feature provides a convenient way to document adversarial testing efforts and enables offline review of security assessments.

Future Enhancements#

To further expand the utility of exported data, future updates will include additional export options:

  • Export to JSON Enables structured data integration with external workflows, such as automated security analysis pipelines or custom reporting systems.

These enhancements will provide greater flexibility and interoperability, allowing teams to integrate Prompt Attack outputs into broader security ecosystems.

Use Cases for Exported Results#

Exported data serves a critical role in several cybersecurity and compliance efforts. Below are practical applications of the exported Excel files:

Blue Team Analysis#

Exported results support Blue Teams by providing detailed insights into adversarial testing activities. Teams can use these insights to:

  • Analyze patterns in successful attacks (e.g., Exploited prompts) to identify weaknesses in the LLM’s defenses.

  • Fine-tune security filters and implement more robust response mechanisms to mitigate specific attack techniques.

Documentation and Reporting#

Exported data enables structured reporting, which is vital for communicating testing outcomes and mitigation strategies to stakeholders:

  • Generate clear and concise reports demonstrating the effectiveness of implemented security measures.

  • Share results with internal or external teams to foster collaboration and transparency.

Trend Analysis#

The ability to track adversarial testing over time provides valuable insights into evolving threats and system adaptations:

  • Analyze trends in success/failure rates to identify recurring vulnerabilities or improvements in the LLM’s resilience.

  • Evaluate how the LLM adapts to emerging adversarial techniques and adjust defenses accordingly.

Conclusion#

Exporting adversarial prompt testing results is an essential feature of Prompt Attack, providing security teams with the tools they need to track, analyze, and report on adversarial risks systematically. This functionality is particularly critical for Blue Teams focused on improving LLM defenses, refining mitigation strategies, and ensuring compliance with security standards.

By leveraging exported results, organizations can enhance their ability to detect, mitigate, and prevent adversarial threats. This contributes to building robust and resilient AI systems capable of withstanding evolving attack vectors in 2025 and beyond.

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