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Running a large language model on a single machine without cloud access or a container runtime remains a priority for practitioners working in air-gapped or resource-constrained environments. Llamafile, Mozilla-AI’s project for packaging and runn…
In this Help Net Security interview, Christian Debes, Head of Data Analytics & AI at SPRYFOX, talks about the growing gap between what AI models do and what their operators can explain. He argues this gap is already a liability, particularly when …
AI agents have evolved from just chatbots, answering questions to executing actions using various integrated tools, often autonomously, and as such the traditional security models have become less efficient. I have seen that firsthand as a security lea…
AI chatbots may deliver unequal answers depending on who is asking the question. A new study from the MIT Center for Constructive Communication finds that LLMs provide less accurate information, increase refusal rates, and sometimes adopt a different t…
In this Help Net Security video, James Wickett, CEO of DryRun Security, explains cyber risks many teams underestimate as they add AI to products. He focuses on how fast LLM features are pushed into live applications without limits or guardrails. The vi…
Security teams spend much of their time tracking vulnerabilities, abuse patterns, and system failures. A new study argues that many AI risks sit deeper than technical flaws. Cultural assumptions, uneven development, and data gaps shape how AI systems b…
AI security has reached a point where enthusiasm alone no longer carries organizations forward. New Cloud Security Alliance research shows that governance has become the main factor separating teams that feel prepared from those that do not. Governance…
In this Help Net Security interview, Naor Penso, CISO at Cerebras Systems, explains how to threat model modern AI stacks without treating them as a single risk. He discusses why partitioning AI systems by function and impact matters, how to frame threa…
LLMs are moving deeper into enterprise products and workflows, and that shift is creating new pressure on security leaders. A new guide from DryRun Security outlines how these systems change long standing assumptions about data handling, application be…
AI agents are starting to take on tasks that used to be handled by people. These systems plan steps, call tools, and carry out actions without a person approving every move. This shift is raising questions for security leaders. A new research paper off…