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Unauthorized Data Access using Azure SAS URLs served as Citation in LLM Application

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Large Language Models (LLMs) are revolutionizing the way applications process and retrieve information. The particular implementation is of ...

Prompt Injection Vulnerability Due to Insecure Implementation of Third-Party LLM APIs

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As more organizations adopt AI/ML solutions to streamline tasks and enhance productivity, many implementations feature a blend of front-end ...

Securing AI Agents: Mitigating Risks in Home Automation Systems (case)

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As the integration of AI agents in home automation systems continues to grow, these systems are becoming high-value targets for cyberattacks...

AI Agent Security - Pen-Testing & Code-Review

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AI agents are advanced software systems designed to operate autonomously or with some degree of human oversight. Utilizing cutting-edge tech...

Leveraging AI/ML for application pentesting by utilizing historical data

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Utilizing AI-powered tools for analyzing historical data from penetration tests can significantly enhance the efficiency and effectiveness o...

[Case Study] Building and Running an effective Application Security Program for a global biotechnology company

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Client Overview ACME is a global biotechnology company committed to strengthening their internal IT and application security program. They p...

The Importance of Security Reviews for Applications on Enterprise Platforms

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As organizations increasingly rely on enterprise platforms like SharePoint, ServiceNow, Archer, Appian, Salesforce and SAP to develop critic...