An Open Specification for Agentic Security Evaluation In the age of AI, the real game changer is more than the latest LLM, it’s how you put it to work. That’s why we’re open-sourcing the Foundry Security Spec, a battle-tested blueprint for........
Enterprises need to know exactly what their systems detect, and that definition must stay consistent over time. Writing a definition precise enough to settle every hard case has long been impractical because human annotators cannot hold a document..
Agents are powerful because they do more than answer questions. They call tools, retrieve context, and act across multiple steps. That is what makes frameworks like Google Agent Development Kit (ADK) so useful, and it is also what changes......
This post is Part 2 of a two-part series on multimodal typographic attacks. In Part 1 of “Reading Between the Pixels,” we demonstrated that text–image embedding distance correlates with typographic prompt injection success: conditions that push....
When it comes to AI models, one of the hardest questions to answer is deceptively simple: where did this model actually come from? We addressed part of this problem with Model Provenance Kit, an open-source tool that fingerprints models at the.....
The importance of understanding a model’s origins has been a frequent topic of discussion among researchers and industry experts, and our own AI research confirms that AI supply chain security remains a weak link. Tracking where models come from....
Enterprise AI adoption isn't slowing down — and neither are the risks that come with it. According to the 2025 Cisco Cybersecurity Readiness Index, 86% of organizations experienced an AI-related security incident in the past 12 months, yet...
AI-powered integrated developer environments (IDEs) like Cursor, VS Code, and Windsurf now include agents that utilize Model Context Protocol (MCP) servers, run skills, and generate entire codebases. But as these tools gain access to file systems...
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