A model context protocol (MCP) tool can claim to execute a benign task such as “validate email addresses,” but if the tool is compromised, it can be redirected to fulfill ulterior motives, such as exfiltrating your entire address book to an external
The New Baseline for AI Security AI is no longer an experimental capability or a back-office automation tool: it is becoming a core operational layer inside modern enterprises. The pace of adoption is breathtaking. Yet, according to Cisco’s 2025 AI
Artificial intelligence and machine learning (AI/ML) models are increasingly shared across organizations, fine-tuned, and deployed in production systems. Cisco’s AI Defense offering includes a model file scanning tool designed to help organizations
The Rise of Agent Networks: A New Security Frontier Emerging Agent-to-Agent (A2A) frameworks have emerged to support organizations as they move from isolated AI applications to interconnected networks of autonomous agents. A2A enables software agents
The conversation around AI and its enterprise applications has rapidly shifted focus to AI agents—autonomous AI systems that are not only capable of conversing, but also reasoning, planning, and executing autonomous actions. Our Cisco AI Readiness
Cisco Partner Summit emphasized the crucial role of partners in securing the AI era. With 86% of businesses facing AI-related security incidents, Cisco is enabling partners to build AI-ready infrastructures and help customers confidently adopt new
AI models have become increasingly democratized, and the proliferation and adoption of open weight models has contributed significantly to this reality. Open-weight models provide researchers, developers, and AI enthusiasts with a solid foundation for
Today, we are excited to share that the SecureBERT 2.0 model is available on HuggingFace and GitHub with an accompanying research paper. This release marks a significant milestone, building on the already widely adopted SecureBERT model to unlock even
In today’s rapidly evolving AI landscape, organizations face a critical challenge: how to harness the transformative power of generative AI while maintaining robust security and compliance standards. As enterprises deploy increasingly
