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This blog is jointly written by Amy Chang, Hyrum Anderson, Rajiv Dattani, and Rune Kvist. We are excited to announce Cisco as a technical contributor to AIUC-1. The standard will operationalize Cisco’s Integrated AI Security and Safety Framework (AI Security Framework), enabling more secure AI adoption. AI risks are no longer theoretical. We have seen […]
This blog was written in collaboration with Yuqing Gao, Jian Tan, Fan Bu, Ali Dabir, Hamid Amini, Doosan Jung, Yury Sokolov, Lei Jin, and Derek Engi. LLMs can sound very convincing, but in network operations, sounding right isn’t enough. Network operations are dominated by structured telemetry, long configuration states, time series at scale, and investigations […]
When your CISO mentions “AI security” in the next board meeting, what exactly do they mean? Are they talking about protecting your AI systems from attacks? Using AI to catch hackers? Preventing employees from leaking data to an unapproved AI service? Ensuring your AI doesn’t produce harmful outputs? The answer might be “all of the […]
This blog was written in collaboration with Fan Bu, Jason Mackay, Borya Sobolev, Dev Khanolkar, Ali Dabir, Puneet Kamal, Li Zhang, and Lei Jin. “Everything is a file”; some are databases Introduction Machine data underpins observability and diagnosis in modern computing systems, including logs, metrics, telemetry traces, configuration snapshots, and API response payloads. In practice, […]
The Model Context Protocol (MCP) and Agent-to-Agent (A2A) have gained a significant industry attention over the past year. MCP first grabbed the world’s attention in dramatic fashion when it was published by Anthropic in November 2024, garnering tens of thousands of stars on GitHub within the first month. Organizations quickly saw the value of MCP […]
This blog is written in collaboration by Amy Chang, Vineeth Sai Narajala, and Idan Habler Over the past few weeks, Clawdbot (then renamed Moltbot, later renamed OpenClaw) has achieved virality as an open source, self-hosted personal AI assistant agent that runs locally and executes actions on the user’s behalf. The bot’s explosive rise is driven by […]
The adoption of AI agents and large language models (LLMs) is transforming how organizations operate. Automation, decision-making, and digital workflows are advancing rapidly. However, this progress presents a paradox: the same agency that makes AI so powerful also introduces new and complex risks. As agents gain autonomy, they become attractive targets for a new class […]
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 server. Traditional security scanners could flag suspicious network calls or dangerous functions and […]
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 Readiness Index, only 29 percent of companies believe they are adequately equipped to defend against […]
