Blog Cisco Artificial Intelligence
Blog Cisco o umělé inteligenci se zaměřuje na využití AI a strojového učení (ML) k transformaci podnikových sítí, bezpečnosti a spolupráce. Společnost zde komunikuje svůj přístup k důvěryhodné technologii prostřednictvím šesti principů pro odpovědnou AI - transparentnost, spravedlnost, odpovědnost, soukromí, bezpečnost a spolehlivost.
AI agents are moving beyond screens and servers into the physical world -- controlling robots, drones, factory equipment, and building systems. DefenseClaw now includes an Edge Connector that brings AI agent security to these constrained devices....
14. 10. 2026
AI adoption inside the enterprise is no longer waiting for governance to catch up. Employees are already using generative AI to write code, summarize documents, analyze data, draft communications, and automate routine work, often through tools and..
14. 10. 2026
September was a benchmark month, focused on where cyber-capable AI should be strong, where it should fail, and how to measure the difference. Here’s what we shipped.
VLoc Bench: Can Agents Find Vulnerable Code at Repository Scale? (blog, Sep 4)..
6. 10. 2026
How does a question-answering architecture stack up against traditional classification on content safety tasks?
Jev’s been making the rounds lately, and for good reason — instead of generating prose, it answers named questions directly with a......
5. 10. 2026
When we launched the Cisco LLM Security Leaderboard earlier this year, the goal was simple: give organizations clear, tested data on how models hold up against attacks, so they know the risks before they deploy one. That matters because AI models...
24. 9. 2026
Nine months ago, we introduced the Integrated AI Safety and Security Framework as a unified and comprehensive taxonomy to help organizations identify and mitigate the security and safety risks unique to AI systems. Existing frameworks remained.....
9. 9. 2026
Several notable breach retrospectives of the last decade have the same shape. The attacker didn't break down the front door. They compromised something the target had already decided to trust — a package, a build tool, a base image — and walked in..
3. 9. 2026
When you look at an AI model’s repository page, you see the name of the model and an associated publisher. In policy and industry conversations, the publisher often gets collapsed into a country label—a “U.S. model” or a “Chinese model”—used as.....
27. 8. 2026
Foundation-model training and centralized AI services will remain in hyperscale regions, but inference, computer vision, and agentic workloads are moving closer to proprietary data and operations into private AI factories, sovereign clouds.........
25. 8. 2026
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