Insights from the DogStar team
Every vendor pitch right now seems to invoke “AI.” A scheduled job that moves files between folders gets called “intelligent automation,” a 2015-era logistic regression model is rebranded as “AI-powered,” and a keyword-matching chatbot is suddenly “powered by GenAI.” None of those labels actually tell you what you’re getting underneath, and the underlying technologies differ […]
Read MoreLarge language models are being integrated into production applications faster than security teams can assess them. Customer support platforms, internal knowledge systems, code generation pipelines, decision-support tools — all increasingly powered by models that have direct access to backend systems, databases, and APIs. The security implications of this shift are profound, and the industry is […]
Read MoreEvery industry presents unique challenges for penetration testing, but healthcare stands apart as one of the most technically demanding environments we assess. Medical technology and cybersecurity operate on fundamentally incompatible design philosophies. The Medical Trade-craft Medical systems engineering is built around a single imperative: keep the patient alive. Every design decision — protocol selection, authentication […]
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