Researchers build an encrypted routing layer for private AI inference
Organizations in healthcare, finance, and other sensitive industries want to use large AI models without exposing private data to the cloud servers running those models. A …
Command integrity breaks in the LLM routing layer
Systems that rely on LLM agents often send requests through intermediary routing services before reaching a model. These routers connect to different providers through a …
OpenAI expands its cyber defense program with GPT-5.4-Cyber for vetted researchers
Defending critical software has long depended on the ability to find and fix vulnerabilities faster than attackers can exploit them. OpenAI is expanding a program designed to …
What vibe hunting gets right about AI threat hunting, and where it breaks down
In this Help Net Security interview, Aqsa Taylor, Chief Security Evangelist, Exaforce, explains vibe hunting, an AI-driven approach to threat detection that inverts …
Prompt injection tags along as GenAI enters daily government use
Routine use of GenAI has moved into daily operations in state and territorial government environments, placing new security risks within common workflows. A Center for …
Google study finds LLMs are embedded at every stage of abuse detection
Online platforms are running large language models at every stage of LLM content moderation, from generating training data to auditing their own systems for bias. Researchers …
Financial groups lay out a plan to fight AI identity attacks
Generative AI tools have brought the cost of deepfake production low enough that criminals and state-sponsored actors now use them routinely against financial institutions. A …
Breaking out: Can AI agents escape their sandboxes?
Container sandboxes are part of routine AI agent testing and deployment. Agents use them to run code, edit files, and interact with system resources without direct access to …
AI SOC vendors are selling a future that production deployments haven’t reached yet
Vendors selling AI-powered security operations platforms have built their pitches around a consistent set of promises: autonomous threat investigation, dramatic reductions in …
A nearly undetectable LLM attack needs only a handful of poisoned samples
Prompt engineering has become a standard part of how large language models are deployed in production, and it introduces an attack surface most organizations have not yet …
Google’s TurboQuant cuts AI memory use without losing accuracy
Large language models carry a persistent scaling problem. As context windows grow, the memory required to store key-value (KV) caches expands proportionally, consuming GPU …
Llamafile, Mozilla’s portable LLM runner, gets GPU support and a rebuilt core
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 …
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