CyberInsights AI

CyberInsights AI

CyberInsights AI : Unleashing actionable insights from cybersecurity audit reports in real-time.

Created on 30th September 2024

CyberInsights AI

CyberInsights AI

CyberInsights AI : Unleashing actionable insights from cybersecurity audit reports in real-time.

Describe your project

CyberInsights AI is an innovative, AI-driven platform designed to analyze both single and multiple unstructured cybersecurity audit reports, providing real-time, actionable insights through an interactive, chat-based interface. The solution leverages advanced Natural Language Processing (NLP) and Generative AI technologies to extract critical information, summarize key findings, and respond to user inquiries efficiently. Following are the key features :

-> Contextual Q&A: Provides users with accurate, contextual responses to cybersecurity-related questions, whether they inquire about a single report or multiple documents.

-> Recommendations via Question or Text Box Input: Delivers suggestions based on cybersecurity best practices, with users able to choose between pre-set recommendation questions or a text box for custom inquiries.

-> Graphical Representation: Visualizes key findings, compliance issues, and risk trends for each audit report, with detailed explanations for affirmative ("Yes") responses backed by data from the reports.

Out of Scope:

While CyberInsights AI offers significant capabilities, certain aspects fall outside its scope, including

Comprehensive cybersecurity assessments.

Implementation of security measures or remediation.

Real-time threat monitoring and analysis.

Handling structured data beyond textual content.

Integration with existing cybersecurity tools.

Future Opportunities:

As CyberInsights AI evolves, there are several opportunities for future enhancement:

Threat Intelligence Integration: Incorporating real-time threat data for contextual insights.

Predictive Analytics: Using machine learning to forecast potential cybersecurity risks.

Broader Data Sources: Expanding to include structured data.

Customization: Tailoring features to meet the specific needs of different organizations.

Multi-Language Support: Adding support for multiple language for global acessibility

Challenges we ran into

1.Single Report vs Multiple Reports - Unstructured Data:

Challenge: Handling multiple unstructured reports simultaneously proved complex due to inconsistent formats and content structure.

Solution: We optimized the system to process multiple reports by adjusting the NLP model to handle varied inputs. Whether processing a single or multiple reports, the system efficiently extracts and organizes the information for easy analysis.

2.Graphical Representation of Each PDF with Answers and Explanation:

Challenge: Generating graphical representations of audit reports, especially when handling multiple files, required efficient visualization of results.

Solution: We incorporated a graphical representation feature that visualizes key findings, compliance issues, and risks for each report. If a "Yes" response is given, the system provides detailed explanations supported by the report data, ensuring clarity in both single and multiple report scenarios.

3.NLP Model Limitations:

Challenge: The initial performance of the summarization model struggled with longer reports, particularly those containing technical jargon and cybersecurity-specific language.

Solution: We fine-tuned the BART model on a specialized dataset of cybersecurity documents, improving the model’s ability to understand and summarize complex, technical content effectively.

4.Performance and Scalability:

Challenge: As the number of audit reports processed grew, we observed delays in response times, which negatively impacted user experience.

Solution: To address this, we implemented caching for previously processed reports and utilized asynchronous processing for tasks like summarization. These optimizations significantly reduced lag and improved scalability.

Each of these solutions helped improve the performance and usability of CyberInsights AI, overcoming technical challenges along the way.

Tracks Applied (1)

18. Problem statement shared by Central Cyber Security Agency

The Cybersecurity Audit Analyzer is an AI-driven tool that analyzes unstructured cybersecurity audit reports to provide ...Read More

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