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An NDA Security company specialized in advanced solutions for network security, providing both software and hardware products designed to protect complex enterprise environments. By consistently innovating and adapting to emerging technological challenges, company's offerings helped a wide range of organizations maintain robust defenses against evolving cyber threats.
Background
Building on prior collaborations, Security company engaged Iterasec to conduct a comprehensive security review of their corporate websites, documentation portal, and customer communication platform. The standout feature in this project was the integration of Claude, a Large Language Model (LLM) chat bot, into the documentation portal. The security company aimed to enhance user experience by enabling customers to interact with detailed product instructions and quickly find answers to technical questions through an AI-driven interface.
The Challenge
The Solution
Iterasec conducted a thorough penetration test focused on the websites, portals, and AI-powered documentation platform:
Website & Portal Security Testing
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Since the documentation portal required authorization, Iterasec identified a 2FA bypass vulnerability.
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The marketing websites were built on top of Wordpress, as a result, identified several minor WordPress misconfigurations and vulnerable plugins.
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Assessed authentication and authorization flows, ensuring only legitimate users could access sensitive data and functionalities.
AI Chatbot Security Assessment
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Evaluated Claude’s integration for prompt injection and data leakage vulnerabilities, simulating real-world attacks based on OWASP LLM Top 10 that could exploit AI-driven content generation.
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Collaborated closely with Security company’s development and data science teams to recommend guardrails that prevent malicious requests or unintended data access.
Data and Privacy Compliance
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Reviewed data handling and retention policies for stored chats and support interactions.
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Provided recommendations on encryption, data segmentation, and secure logging to reduce the risk of unauthorized data exposure.
Ongoing Consultation
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Established a clear communication channel for immediate reporting of critical findings.
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Advised on best practices for maintaining and updating AI-driven systems, including monitoring for emerging threats tied to LLM technology.
The Outcome
Conclusion
By rigorously testing Security company’s newly integrated AI chatbot and existing web portals, Iterasec helped ensure that these platforms delivered a seamless and secure user experience. The safeguards introduced not only mitigated immediate vulnerabilities but also established clear protocols for future enhancements. This collaborative effort underscored Security company’s ongoing commitment to innovation and provided their customers with a trusted environment for both product exploration and real-time technical support.