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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
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
As enterprises integrate AI agents into their technology stacks, these agents increasingly rely on external tools and services to navigate complex technology environments. Model Context Protocol (MCP) enables AI models to access external
Introduction The pace at which applications for artificial intelligence are evolving continues to impress. Businesses that once considered taking advantage of AI’s sophisticated predictive and natural language capabilities are now evaluating adoption
Software teams worldwide now rely on AI coding agents to boost productivity and streamline code creation. But security hasn’t kept up. AI-generated code often lacks basic protections: insecure defaults, missing input validation, hardcoded secrets
