At this year’s Cisco Live Las Vegas we introduced Policy Studio, an AI assistant in Cisco AI Defense that guides users through building custom policies for adaptive guardrails. The assistant interactively walks the user through the process..........
The transformer, introduced in a 2017 paper with the now-famous title "Attention Is All You Need," is the engine behind every major language model you have heard of. GPT, Claude, Gemini, Llama, Mistral. All transformer-based models. Understanding...
Fine-tuning is a process that lets us steer a general-purpose large language model toward a specific task by training it on targeted examples. In cybersecurity, this is often useful for problems like classifying phishing emails, suspicious URLs....
AI agents are moving from demos into production fast — and every LLM call and external tool they invoke is a new attack surface. This post introduces Agent Runtime Protection in the Cisco AI Defense Python SDK: a one-line integration that brings....
SoftBank Corp. (“SoftBank”) has integrated Cisco Foundation AI’s Foundation-sec-1.1-8B-Instruct model into their Security Operations Center (SOC) triaging workflow, enabling full automation of suspicious software detection, dynamic policy...........
Today, we are excited to introduce Agent Validation as a new evaluation capability in AI Defense: Explorer Edition, the free self-service version of Cisco AI Defense, that is built specifically for agentic AI systems. Agent Validation builds on.....
We are excited to announce that Deloitte Japan is beginning production validation of Cisco Foundation AI’s Foundation-sec-1.1-8B-Instruct model for its security operations. By using this security-focused, open-source large language model (LLM)......
Cisco's Integrated AI Security and Safety Framework and our recent work on defining taxonomy constitutions focused on defining and detecting common risks shared among enterprises when deploying AI. However, while most enterprises share a lot of.....