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...
AI literacy is your career edge. Get key takeaways from Cisco NetAcad's latest Find Yourself in the Future session—plus free courses to build your AI skills today.
This post is Part 1 of a two-part series on multimodal typographic attacks. This blog was written in collaboration between Ravi Balakrishnan, Amy Chang, Sanket Mendapara, and Ankit Garg. Modern generative AI models and agents increasingly
Learn how agentic frameworks orchestrate end-to-end network engineering workflows using skills, MCP servers, and human approval gates.
The skills that built the internet aren't enough for what's next. Here's your roadmap to conquering networking for AI—from automation and telemetry to lossless fabric and beyond.
Lessons from building production AI systems that nobody talks about. The conversation around AI agents has moved fast. A year ago, everyone was optimizing RAG pipelines. Now the discourse centers on context engineering, MCP/A2A protocols, agentic.
