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Revolutionizing LLM Security Testing: Automating Red Teaming with "PenTestPrompt"

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The exponential rise of Large Language Models (LLMs) like Google's Gemini or OpenAI's GPT has revolutionized industries, transformin...

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...