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Corsair potvrdil, že plné zasunutí 16pin konektoru není zárukou, že s ním nebudou problémy. Rozhodl se proto do svých kabelů integrovat tepelnou pojistku, která sepne, pokud teplota překročí 65 °C…

Protože novinky v Androidu 17 ukázal Google ještě před vývojářskou konferencí I/O, hlavní úvodní přednáška mohla mít jediné téma – AI. Dočkali jsme se nové verze rychlého modelu Flash 3.5, Gemini změnil design na webu i v aplikaci, ale napříč dalšími novinkami vidíme snahu změnit to, jak lidé ...

Microsoft has shared mitigations for YellowKey, a recently disclosed Windows BitLocker zero-day vulnerability that grants access to protected drives. [...]

Gemini 3.5 Flash je nejlepší agentická AI na světě a je rychlejší než konkurenti. • Model Flash je též ve většině úloh lepší než předchozí Pro. • Google jej už nasadil do chatbotu, vyhledávače i Antigravity.

Kvantové počítače znamenají riziko, a ne jen pro samotný bitcoin. Hysterie nebo včasná diskuse? Rozebíráme, jak je hrozba reálná, v čem spočívá a jak se před ní ochránit.

I krátká práce s umělou inteligencí znatelně oslabuje schopnost řešit problémy • Největší propad výkonnosti vykazují lidé, kteří po chatbotovi chtějí hotová řešení • Ztráta schopnosti uvažovat se projevuje v matematice i při čtenářských úlohách

Zatímco poptávku po AI systémech prognózy více méně odhadly (možná nepatrně podcenily), prodeje serverových procesorů jsou oproti prognózám o téměř 27 % vyšší…

Grafana Labs, on May 19, 2026, said an investigation into its recent breach found no evidence of customer production systems or operations being compromised. It said the scope of the incident is limited to the Grafana Labs GitHub environment, which includes public and private source code along with internal GitHub repositories. "After the initial assessment, we found that in addition to source

Grafana Labs, on May 19, 2026, said an investigation into its recent breach found no evidence of customer production systems or operations being compromised. It said the scope of the incident is limited to the Grafana Labs GitHub environment, which includes public and private source code along with internal GitHub repositories. "After the initial assessment, we found that in addition to sourceRavie Lakshmananhttp://www.blogger.com/profile/[email protected]

GitHub is investigating a breach of its internal repositories after the TeamPCP hacker group claimed to have accessed approximately 4,000 repositories containing private code. [...]

Byla vydána nová verze 9.5 multiplatformní digitální pracovní stanice pro práci s audiem (DAW) Ardour. Přehled novinek, vylepšení a oprav v poznámkách k vydání a na YouTube.

Autonomous agent orchestration tool OpenClaw hit the scene last November and immediately went viral, but its dramatic flaws were exposed just as quickly.

Still, it marked a pivotal step in the agentic AI era, and enterprises have been exploring ways to deploy fleets of autonomous agents safely and securely ever since.

Automation Anywhere Tuesday rolled out its answer to this challenge, EnterpriseClaw, created in collaboration with Cisco, Nvidia, Okta, and OpenAI.

The company says the platform will enable companies to deploy autonomous AI agents across their desktops, cloud platforms, secured ‘behind-the-firewall’ networks, and on-premises systems, all while maintaining centralized control, access, and observability.

Automates business-critical work

EnterpriseClaw is built on Automation Anywhere’s Process Reasoning Engine (PRE) and Contextual Intelligence Graph, which automate business-critical work. It also integrates with Cisco AI Defense and DefenseClaw to provide security purpose-built for AI agents, Nvidia’s open-source runtime OpenShell, NIM microservices and Nemotron models for on-premises customers, and Okta’s cross-agent identity management and authentication controls. Furthermore, OpenClaw’s OpenAI collaboration will give customers access to leading models like GPT-5.5.

“The level of distrust and insecurity associated with OpenClaw is covered in significant detail in the EnterpriseClaw launch,” said Manish Jain, a principal research director at Info-Tech Research Group. “The collaboration between Nvidia, OpenAI, Okta, and Cisco adds to the credibility of the proposition of trusted infrastructure, identity, and security layers.”

Automation Anywhere says the platform will give enterprises the ability to deploy agents in parallel in managed containers behind firewalls, providing local access to files, apps, browsers, and terminals. Agents can hand off tasks and combine outputs so that value “compounds” rather than being isolated and confined to single-agent tasks, the company said.

Users can set policies, access controls, guardrails, and agent credentials, which are all enforced locally on-device, and receive information on telemetry, audit logs, and large language model (LLM) usage.

The company pointed to use cases like claims investigation: AI agents can gather information across desktop apps, internal documents, on-premises systems, and cloud platforms, all while keeping financial, operational, and other sensitive data secured inside enterprise systems. Other usage scenarios include code generation and debugging, local file post-incident log analysis, research, user interface (UI) automation, and secure data processing in regulated environments.

EnterpriseClaw is now available in preview, with general availability expected later this year.

No clear differentiator

Still, there’s no clear-cut differentiator here, noted Jason Andersen, a VP and principal analyst with Moor Insights & Strategy. Nvidia has already announced its NemoClaw open-source stack to provide guardrails for always-on agents, and EnterpriseClaw has essentially the same capabilities and generally-available stack.

“Which begs the question: If you are already using Nvidia’s, why choose this?” he asked. Indeed, the Cisco and Okta capabilities will “likely be interesting” to their existing bases. “But again, those products already work with other tools,” Andersen pointed out.

OpenClaw-like agents changing everything

Ultimately, noted technology analyst Carmi Levy, OpenClaw’s arrival has changed enterprise leaders’ view of AI, because it turned what was previously just a concept of AI agents into an everyday-accessible tool for a mass audience.

“As ChatGPT took chatbots out of the lab and drove them into mainstream use, OpenClaw did the same for AI agents,” he said. It shifted the notion of AI from something we chat with to something that actually gets work done. This represents “a key step in replacing human capital with technological capital.”

Info-Tech’s Jain explained that OpenClaw provided AI with three key features: Local execution via a desktop or laptop, persistent autonomy (operation without human input), and direct control over various systems such as WhatsApp or Slack.

“In effect, OpenClaw gave its agents claws (hands), allowing them to run in the background continuously,” he said. They can then execute real-world actions across file systems, web browsers, and applications based on a “single thread” of chat messaging.

But when claw agents quickly began leaking information about user data, there was a “polarization of emotions,” with users both excited and shocked about what they could do and access, he pointed out.

“OpenClaw did not meet enterprise-grade product standards,” said Jain. “The data leaks and inappropriate behaviors associated with claw agents exhibit how an uncontrolled tool, when introduced with no guardrails, will lead to massive issues.”

While Automation Anywhere is deploying EnterpriseClaw in partnership with a group of credible companies, that is just one side of the story; enterprises must govern all AI agents as “persistent digital actors without conscience,” he noted.

Moor’s Andersen also pointed out that OpenClaw can be run on many different models, essentially as a client and a server. But this means there are no real governance capabilities available, “so it’s kind of a wild west, which is why we are seeing companies create these enterprise offerings,” he said.

Claw agents ‘amazing,’ but enterprises beware

What resonates most about OpenClaw is that it can be run alongside open-source AI models like Gemma on a local machine, and users don’t have to pay for or worry about data, Andersen pointed out. This is a direct response to other wildly popular but more expensive tools like Claude Cowork; the latter is “amazing,” but “somewhat addictive,” so users can easily burn through the lowest-cost $20 a month usage credit option.

Tools like OpenClaw are “pretty great” when you have many tasks running in parallel, Andersen noted. For instance, in a marketing campaign, agents can check sales volumes and generate new content at the same time.

Levy added that agents could potentially replace “the human worker-bee” altogether, handling the minutiae of day-to-day work.

Helpdesk workflows are “particularly aligned” with the capabilities of OpenClaw-like agents, he pointed out, as the agents can autonomously manage and close tickets. Or, in administrative work, they can take on repetitive, low-risk and high-return tasks like scheduling meetings, drafting email messages, and managing follow-ups. In software development, vibe-coding agents can efficiently generate large volumes of code for diverse projects.

“Is the code any good? The verdict is still out on that, but it’s clear that OpenClaw-like agents are already rapidly tilting the coding landscape in favour of automation,” said Levy.

Still, agents need a lot of permissions to live up to expectations, which can introduce “unnecessary or unacceptable” levels of risk, he noted. Builders will need to grant sufficient access to maintain productivity, but not so much that they set the stage for an “AI-powered debacle” down the road.

Enterprises also run the risk of AI-fed data leakage, likely from opportunistic agents accessing sensitive data from multiple sources and sharing it beyond originally intended purposes, Levy said. Agents are subject to “AI-ified cybersecurity risks,” such as prompt injection and instruction attacks that use hidden text in documents to autonomously execute remote commands.

Another issue is explainability; particularly in regulated industries, enterprises must be able to show traceability and justify why a certain action was taken and who signed off on it. Additionally, “longer-term reliance at this level will inevitably erode institutional knowledge as the human workers who originally crafted it are replaced by automation,” Levy cautioned.

This article originally appeared on CIO.com.

Dnes a zítra probíhá vývojářská konference Google I/O 2026. Sledovat lze na YouTube a na síti 𝕏 (#GoogleIO).

Your Linux server may be carrying kernel code for hardware, filesystems, cryptographic interfaces, and network features it will never use.

A max-severity vulnerability in the latest Python FastAPI version of the ChromaDB project allows unauthenticated attackers to run arbitrary code on exposed servers. [...]

WordPress nové generace přichází. Tak jako před lety byl radikální změnou nový editor Gutenberg, tak současná sedmá verze rázně naskakuje na moderní standardy a AI. Jako fanoušek říkám – konečně. Vypadalo to, že ten vlak ujede.

Sonda do světa otevřeného softwaru. Dnes si na Linuxu připojíme bezdrátová sluchátka, vyzkoušíme čtečku RSS kanálů, podíváme se na proxy server a load balancer a řekneme si o aplikaci pro plánování, řízení a sledování projektů.

Analytická společnost Bernstein upozornila, že zprávy o zakázkách Intelu jsou nadhodnocovány a naopak neopodstatněně upozaďují pozici TSMC, na které se ve skutečnosti nic nemění…

Pokud vám nadpis článku nedává smysl, tak vězte, že jde jen o kumulaci slov, která v naší době proměnila své významy. Užíváme je jinak než v dávnějších generacích. Teď se nad tím nebudeme rozčilovat, ale podíváme se, kdy tím vznikají nedorozumění. Většinou v kontextech, které si koledují o kolizi s dřívějšími významy, ty je tudíž radno znát.

…aneb Co se stalo před 183 miliony let