Artificial Intelligence (AI)

Pay Attention to the Intersection of API Security and AI Proliferation

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Pay Attention to the Intersection of API Security and AI Proliferation

The integration of artificial intelligence (AI) technology into applications and services is growing, and with it comes a greater reliance on APIs for AI operations. What does this mean for an organization’s security posture?  Here, Security magazine talks with Rupesh Chokshi, Senior Vice President and General Manager of Akamai’s Application Security portfolio, about the intersection of API security and AI proliferation.  Security magazine: Tell us about your background and career. Chokshi: As Senior Vice President…

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Developing With Cisco XDR at Cisco Live San Diego ‘25

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Developing With Cisco XDR at Cisco Live San Diego ‘25

Cisco XDR has always been predicated on the knowledge that every customer and every SOC is different. With thousands of products on the market clamoring for attention and budgets, the likelihood of any XDR solution supporting all your organization’s needs is minimal. For these reasons, Cisco XDR is built on top of a foundationally open architecture with documented open-source protocols and RESTful APIs. If a technology your team relies on isn’t supported out-of-the-box in Cisco…

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Agentic AI Is Everywhere — So Are the Security Risks

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Agentic AI Is Everywhere — So Are the Security Risks

2025 is shaping up as the year of AI agents. No longer just prompt responders, autonomous AI agents now plan, act, and coordinate across systems — booking meetings, writing code, buying tickets, and increasingly making decisions on our behalf. This rapid shift is being driven in part by the Model Context Protocol (MCP), a new standard that allows agents to interact with tools and data across platforms. With startups and tech giants racing to release…

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Agentic AI: A New Frontier for Network Engineers

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Agentic AI: A New Frontier for Network Engineers

When you first hear about MCP — Model Context Protocol, it sounds like something built for hardcore AI researchers. But here’s the reality: Network engineers and automation engineers are going to be some of the biggest users of it. In case you’re wondering why: MCP is how you make Large Language Models (LLMs) understand your network, your topology, your standards, your world. Without it? You’re just getting generic ChatGPT answers. With it? You’re creating Agentic…

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AI Agent for Color Red

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AI Agent for Color Red

LLMs, Agents, Tools, and Frameworks Generative Artificial intelligence (GenAI) is full of technical concepts and terms; a few terms we often encounter are Large Language Models (LLMs), AI agents, and agentic systems. Although related, they serve different (but related) purposes within the AI ecosystem. LLMs are the foundational language engines designed to process and generate text (and images in the case of multi-model ones), while agents are meant to extend LLMs’ capabilities by incorporating tools…

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IP Is Better Than Ever with SRv6 uSID

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IP Is Better Than Ever with SRv6 uSID

IP is the engine behind everything—our favorite streaming services, the global array of IoT sensors connecting people and things, and the workload we access in the cloud. It is the heart of our digital world, connecting us like an invisible and persistent presence in everyday life. Foreseeing IP market demands Over the decades, the industry has introduced additional complexity with numerous layers and extensions to the IP protocol, each designed for a specific use case:…

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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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Cisco XDR Just Changed the Game, Again

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Cisco XDR Just Changed the Game, Again

The Confidence Gap in SecOps Is Real, and It’s Time to Close It Over the past year I’ve spoken with hundreds of CISOs and SOC leaders and no matter the organization’s size or industry there is a recurring theme: Security teams aren’t struggling with a lack of data, they’re struggling with a lack of clarity. Alerts are easy, but actions are hard. Speed alone is no longer enough. What teams need now are smarter systems—solutions…

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Foundation AI: Robust Intelligence for Cybersecurity

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Foundation AI: Robust Intelligence for Cybersecurity

Today, we’re announcing a new organization at Cisco Security with a distinct mission. The team is called Foundation AI, and its mission is to create transformational AI technology for cybersecurity applications. The team has been hard at work for the past six months, since the acquisition of Robust Intelligence, on which it is based. In this post, we’ll describe the problem Foundation AI seeks to solve, guiding principles, and share some of the products it…

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Foundation-sec-8b: Cisco Foundation AI’s First Open-Source Security Model

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Foundation-sec-8b: Cisco Foundation AI’s First Open-Source Security Model

Cisco is proud to mark a major milestone in its AI journey. Our newly launched Foundation AI group—formed to bring world-class, domain-specific AI infrastructure to the cybersecurity space—is proud to introduce its first release: Llama-3.1-FoundationAI-SecurityLLM-base-8B (Foundation-sec-8b), an 8-billion parameter, open-weight Large Language Model (LLM) purpose-built for security. This model combines deep domain expertise with the flexibility and control needed for secure, real-world deployment. With Foundation-sec-8B, teams can build, fine-tune, and deploy AI-native workflows across the…

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