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.
The dominant safety benchmarks for frontier large language models share a structural assumption: that a single prompt and a single model response are enough to characterize how a model behaves under adversarial attack. These benchmarks inform model..
27. 5. 2026
As AI continues to transform the enterprise landscape, the challenge for large organizations isn't just adopting the technology—it’s scaling it effectively. At Cisco, we recognized that while our teams were eager to build Retrieval-Augmented........
22. 5. 2026
Everyone talks about AI. Your LinkedIn and X feeds are drowning in it. Your organization probably mentioned it in last week's meeting. Your cousin brought it up at dinner or you are already deep in the trenches with your favorite large language.....
21. 5. 2026
An Open Specification for Agentic Security Evaluation
In the age of AI, the real game changer is more than the latest LLM, it’s how you put it to work. That’s why we’re open-sourcing the Foundry Security Spec, a battle-tested blueprint for........
12. 5. 2026
Enterprises need to know exactly what their systems detect, and that definition must stay consistent over time. Writing a definition precise enough to settle every hard case has long been impractical because human annotators cannot hold a document..
11. 5. 2026
Agents are powerful because they do more than answer questions. They call tools, retrieve context, and act across multiple steps. That is what makes frameworks like Google Agent Development Kit (ADK) so useful, and it is also what changes......
11. 5. 2026
This post is Part 2 of a two-part series on multimodal typographic attacks.
In Part 1 of “Reading Between the Pixels,” we demonstrated that text–image embedding distance correlates with typographic prompt injection success: conditions that push....
6. 5. 2026
A practical DevNet lab for connecting a public OpenAI-compatible target to Cisco AI Defense Explorer, running a Quick Scan, and reviewing AI red team findings.
4. 5. 2026
When it comes to AI models, one of the hardest questions to answer is deceptively simple: where did this model actually come from?
We addressed part of this problem with Model Provenance Kit, an open-source tool that fingerprints models at the.....
30. 4. 2026
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