AI coding agents enable developers to work faster by streamlining tasks and driving automated, test-driven development. However, they also introduce a...

AI coding agents enable developers to work faster by streamlining tasks and driving automated, test-driven development. However, they also introduce a significant, often overlooked, attack surface by running tools from the command line with the same permissions and entitlements as the user, making them computer use agents, with all the risks those entail. The primary threat to these tools is…

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Advances in AI architectures have unlocked multimodal functionality, enabling transformer models to process multiple forms of data in the same context. For...

Advances in AI architectures have unlocked multimodal functionality, enabling transformer models to process multiple forms of data in the same context. For instance, vision language models (VLMs) can generate output from combined image and text input, enabling developers to build systems that interpret graphs, process camera feeds, or operate with traditionally human interfaces like desktop…

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AI-driven applications are evolving from passive tools to agentic systems that generate code, make decisions, and take autonomous actions. This shift introduces...

AI-driven applications are evolving from passive tools to agentic systems that generate code, make decisions, and take autonomous actions. This shift introduces a critical security challenge. When an AI system produces code, there must be strict controls on how and where that code is executed. Without these boundaries, an attacker can craft inputs that trick the AI into generating malicious code…

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