AI/ML

Secure the network with Cisco AI Defense and Cisco U.

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Secure the network with Cisco AI Defense and Cisco U.

Artificial Intelligence (AI) is transforming industries, streamlining workflows, and optimizing decision-making. However, as AI adoption grows, so do the risks associated with AI-driven cyber threats. AI systems present a brand-new attack surface for attackers, who are finding novel ways to manipulate AI models, poison training data, and exploit vulnerabilities in large language models (LLMs). To combat these evolving threats, Cisco has introduced Cisco AI Defense—a powerful, end-to-end security solution for enterprises that build, use, and…

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Optimizing business velocity with Cisco Full-Stack Observability

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Optimizing business velocity with Cisco Full-Stack Observability

Fueling digital transformation success with cost and resource optimization over applications, workloads, and components Digital transformation comes with an irony that is not lost on the IT teams. Applications and the digital experiences they enable require cloud-based resources for which costs can easily spiral out of control. Worse, lack of visibility means that utilization of these resources can be difficult to accurately assess. This creates a conundrum. Fast, reliable application performance depends on sufficient allocation…

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Building Data Center Infrastructure for the AI Revolution 

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Building Data Center Infrastructure for the AI Revolution 

This is part two of a multi-part blog series on AI. Part one, Why 2024 is the Year of AI for Networking, discussed Cisco’s AI networking vision and strategy. This blog will focus on evolving data center network infrastructure for supporting AI/ML workloads, while the next blog will discuss the Cisco compute strategy and innovations for mainstreaming AI. As discussed in part one of the blog series, Artificial intelligence (AI) and machine learning (ML) have recently…

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Securing AI: Navigating the Complex Landscape of Models, Fine-Tuning, and RAG

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Securing AI: Navigating the Complex Landscape of Models, Fine-Tuning, and RAG

Almost overnight, Artificial Intelligence (AI) has become a priority for most organizations. A concerning trend is the increasing use of AI by adversaries to execute malicious activities. Sophisticated actors leverage AI to automate attacks, optimize breach strategies, and even mimic legitimate user behaviors, thereby escalating the complexity and scale of threats. This blog discusses how attackers might manipulate and compromise AI systems, highlighting potential vulnerabilities and the implications of such attacks on AI implementations. By…

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Innovation and partnership for the AI journey ahead

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Innovation and partnership for the AI journey ahead

A Cisco study reveals serious gaps in AI readiness around the world. But opportunities are massive, and Cisco is ready to help. Technology change is never easy. AI is uniquely complex. With… Read more on Cisco Blogs Source link

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Time to Simplify: A Fresh Look at Infrastructure and Operations for Artificial Intelligence

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Time to Simplify: A Fresh Look at Infrastructure and Operations for Artificial Intelligence

The hype triggered by the emergence of generative artificial intelligence (AI) feels a lot like the early days of cloud, bringing the topic—and the need for a strategy—to the front of the IT leader agenda. But while AI is poised to change every aspect of our lives, the complexity of AI infrastructure and operations is holding things back. At Cisco, we believe AI can be a lot easier when we find ways to avoid creating…

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