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The Spanish police have dismantled the largest Spanish-language manga piracy platform, operating since 2014, with millions of monthly users from around the globe. [...]

Google wants its Chat app to become the main interface for office workers to interact with AI agents within its Workspace suite.

“We’re making Chat the centerpiece through which people talk, not just with other people, but with all their agents, whether they are in Workspace or built on our platform,” Google Cloud CEO Thomas Kurian said in a briefing on the company’s plans. 

The Ask Gemini in Chat feature — generally available now — also allows Workspace users to interact with third-party tools such as Asana, Jira, and Salesforce, Google said in a blog post. Ask Gemini in Chat provides a “daily briefing” that highlights action items, unread message threads, and tasks to complete. It can also act on behalf of a user, generating documents and slides, scheduling meetings, and retrieving files, for instance.

Irwin Lazar, principal analyst at Metrigy, said the addition of Ask Gemini in Chat highlights Google’s efforts to compete more directly with Microsoft Teams. “Today, chat is the primary interface for employee engagement as email has fallen by the wayside,” he said. “Ideally, I’d like to see the AI interface be equally accessible across all apps, so one could access it in Gmail, Docs, etc.” 

Other AI-related updates to Workspace apps announced at Google Cloud Next include the ability to build and edit spreadsheets in Sheets via natural language prompts; Gemini can orchestrate “multi-step construction” and combine data from various sources such as a user’s files, emails, and chats, as well as the web. Gemini in Docs is getting an upgrade, too, with the ability to create infographics grounded in business data.

Underpinning some of the Gemini features is a new work graph, Workspace Intelligence, that connects data held across emails, chats, files and the web to improve the accuracy and relevance of outputs from Gemini agents. Workspace Intelligence “understands complex semantic relationships” between a user’s data and apps, helping to personalize these outputs by learning past work and communication patterns,” Google said.

Customers’ Workspace Intelligence data is not reviewed by Google staff, sold to advertisers, or used to train Google’s AI models, unless the customer gives permission to do so, the company said.

Work Intelligence is similar to tools such as Microsoft’s Work IQ, said Lazar. “The basic idea is giving employees an AI agent that has visibility into both their own activities as well as company knowledge, enabling them to be more efficient in managing work,” he said. “The challenge for any of these tools is that to be truly useful, they need to be able to pull in data from external sources such as CRM, ERP, project management, etc.”

It’s also important to function in multi-vendor environments now common for customer organizations, such as “mixed Google-Microsoft-Zoom-Cisco-Slack shops,” he said. “The third-party integrations are still coming, but I’m not sure if/when we’ll see multi-vendor integration.” 

Google also unveiled a series of updates at Cloud Next to Gemini Enterprise, the  standalone app that lets users interact with AI agents, as well as new governance tools for IT teams.

Fraud operations now operate like call centers, complete with hiring, training, and performance tracking. Flare reveals how cybercriminals manage "Caller-as-a-Service" operations like a professional sales team. [...]

Nová baterie CATL Shenxing se nabije za méně než sedm minut • . • Odlehčený akumulátor Qilin zaručí elektromobilům dojezd až 1000 kilometrů. • Model Qilin Condensed má titanový obal a slibuje dojezd 1500 kilometrů.

Moving through a network is like using a master key. If you have the key, you do not need to break any windows. On Linux, attackers usually do not "hack" their way from one computer to another. They simply log in using stolen credentials.

A new supply chain attack targeting the Node Package Manager (npm) ecosystem is stealing developer credentials and attempting to spread through packages published from compromised accounts. [...]

AI se dnes v radiologii běžně používá, ale představa, že bez pomoci lékaře spolehlivě stanoví diagnózu, je zatím sci-fi. Diagnostika totiž nespočívá jen ve čtení snímku: radiolog vychází také ze zkušenosti, vnímá jemné nuance a zohledňuje anamnézu i laboratorní výsledky. Přesto už dnes AI dokáže ...

Microsoft is preparing to roll out a new Efficiency Mode for Microsoft Teams for systems with limited CPU and memory resources to improve app responsiveness. [...]

Google has updated its Gemini Enterprise app, adding new ways for office workers to build, manage, and interact with AI agents. The company also rolled out additional tools for IT teams to govern the use of agents via the new Gemini Enterprise Agent Platform.

Google first unveiled Gemini Enterprise last year, pitching it as a way for knowledge workers to access agents that can surface information and carry out tasks autonomously. 

At Google Cloud Next this week, Google announced a raft of new features in the Gemini Enterprise app that are expected to be available over the “coming months.” Among these are new ways to interact with Gemini Enterprise, either independently or alongside colleagues. Projects is a new collaborative workspace that enables teams to interact with a shared “expert” chatbot that’s connected to specific data sources from Google Workspace, Microsoft 365 and team chats. 

The Gemini Enterprise application is built on Google’s new Agent Platform for building and managing agents at scale.

Google

A new Canvas tool lets users create and co-edit documents directly within Gemini Enterprise, whether that’s Google Docs and Slides, as well as Microsoft 365 files. Google is also making agents more accessible to users — and more capable. 

Agent Designer, for example, is a no-code agent builder tool that lets users create “schedule- or trigger-based” agents with natural language prompts or via a visual interface. Announced in preview last year, the feature is now ready for general release in the next few weeks, providing users a “virtual flowchart” interface to inspect and test each step in an agent workflow. It’s also possible to insert human-in-the-loop checkpoints to approve actions when needed. 

[ Also see: How to build your own AI agents with Google Workspace Studio ]

Then there are new “long-running” agents that can tackle more complex business processes, Google said. The agents work autonomously in cloud sandboxes, and can complete multi-step workflows such as financial reconciliations that can take days to complete. 

The Agent Gallery provides access to third-party agents from the likes of Adobe, Lovable, and ServiceNow. 

To help manage the various agents working across Gemini Enterprise, Google introduced Inbox, a “central command location to monitor, guide, and securely manage all of your agent activity,” the company said in a blog post. That includes the long-running agents. 

The Inbox tab provides a space for Gemini Enterprise users to manage agents, receive notifications, and track task completion progress.

Google

From Inbox, users can monitor active agents and view notifications around agent actions such as “Needs your input,” “Errors,” and “Completed,” to provide a “clear, consolidated view of ongoing agent progress.” 

Mike Leone, vice president and principal analyst at Moor Insights & Strategy, said that while the Project and Canvas features are “table stakes” these days when it comes to AI agents, the Inbox feature is an interesting addition. “Keeping humans in the loop when async agents are running multi-day workflows in the background is a genuinely unsolved problem, and treating agent output as a prioritized notification queue is a solid way to tackle it,” Leone said.

Gemini Enterprise costs $30 per user each month for large organizations, and $21 per user for smaller businesses. Gemini Enterprise relies on Google’s own large language models (LLMs) such as Gemini 3.1 Pro, Gemini 3.1 Flash Image, and Lyria 3, as well as third-party models such as Anthropic’s Claude Opus 4.7.

Underpinning the Gemini Enterprise app is the new Gemini Enterprise Agent Platform that’s billed as the platform to “build, scale, govern, and optimize agents,” said Michael Gerstenhaber, vice president of product management, Cloud AI, Google Cloud.

IT gets new agentic AI management tools, too

As part of the Agent Platform, Google introduced new tools at Cloud Next to help IT teams manage agents built and deployed in Gemini Enterprise. Among these is Agent Identity, which assigns a unique cryptographic ID to each agent operating in Gemini Enterprise. 

“This creates a clear, auditable trail for every action an agent takes, mapped back to defined authorization policies,” said Gerstenhaber. It’s similar to Microsoft’s Agent 365 platform, where each agent is assigned a unique Microsoft Entra ID to track usage and apply risk policies. 

The new Agent Registry acts as a “central library,” indexing all internal agents and skills to help IT ensure that only approved assets are accessible; Gerstenhaber described Agent Gateway as the “air traffic control” for a customer’s agents, providing “secure, unified connectivity between agents and tools across any environment.”

These are all tools that will appeal to IT as businesses start to push on with their use of agents, said Leone. “Google wants every agent action to leave the same audit trail a payroll transaction does. That’s a high bar,” he said. “Agents are going to be taking real actions on employees’ behalf at scale, and no enterprise will roll that out without knowing exactly who did what, when, and why.” 

Agent Platform “sits in the same competitive neighborhood” as enterprise agent products from the likes of Microsoft, OpenAI, and AWS, said Leone, that also provide tools to build, govern, and orchestrate agents at scale.  

“Implementing agentic processes is seen by most vendors as the next big opportunity to drive adoption of AI technologies in enterprise environments,” said Ed Anderson, research vice president and distinguished analyst at Gartner. “There will be a lot of competition in this area.”

According to Leone, Google’s edge lies in a “full-stack ownership claim few other vendors can make as cleanly, across infrastructure, models, data, security, and end-user apps,” he said. Tools such as Agent Identity, Registry and Gateway — as well as security features such as Model Armor and MCP and A2A protocols to connect agents — will help provide IT with visibility and control when running thousands of agents across business units. 

“My bigger concern is that a typical IT buyer still struggles to figure out what to buy from Google and what each product actually includes as the portfolio and services have grown and evolved quickly,” said Leone.

Pricing for the Gemini Enterprise Agent Platform was not immediately available.

Along with a bunch of new services to make sure those same agents don't cause chaos

Google Cloud Next  Google Cloud chief operating officer Francis deSouza has summed up his company's security strategy du jour as follows: "You need to use AI to fight AI."…

Trojitý fotoaparát se dvěma 50MPx objektivy, trojnásobným optickým přiblížením, stabilizací a 4K videem až v 60 fps, který papírový potenciál dokáže naplnit i v reálu, to je Vivo V70.

Společnost SpaceX amerického miliardáře Elona Muska oznámila, že si zajistila opci buď na akvizici startupu Cursor za 60 miliard dolarů (přes 1,2 bilionu Kč) do konce letošního roku, nebo na zaplacení deseti miliard dolarů za nové partnerství s touto firmou zabývající se generováním kódů. SpaceX se dále prosazuje na lukrativním trhu s vývojářskými nástroji pro umělou inteligenci (AI). Cursor, startup zabývající se prodejem modelů AI pro kódování úkolů, je spolu s OpenAI a Anthropic jedním z několika startupů z kalifornského Silicon Valley, které přilákaly vlny vývojářů díky využití AI k automatizaci kódování.

Gov admits 'incident' as forum sellers boast of fresh haul covering up to a third of the population

France's National Agency for "Secure" Documents is explaining a potential data spill just as crooks online claim they've nicked a third of the country's ID information.…

Díky AI modelu Claude Mythos Preview od společnost Anthropic bylo ve Firefoxu nalezeno a opraveno 271 zranitelností.

Judges say cops face-slurping not a problem under current human rights laws

London's Metropolitan Police Service (MPS) has survived a legal challenge that attempted to curb its rollout of live facial recognition (LFR) technology across the capital.…

Cybersecurity researchers have discovered a previously undocumented data wiper that has been used in attacks targeting Venezuela at the end of last year and the start of 2026. Dubbed Lotus Wiper, the novel file wiper has been used in a destructive campaign targeting the energy and utilities sector in Venezuela, per findings from Kaspersky. "Two batch scripts are responsible for initiating the Ravie Lakshmananhttp://www.blogger.com/profile/[email protected]

Brzy už bude nutné odevzdat daňové přiznání, které je nutné podat elektronicky. Které časté chyby ve formuláři vás mohou připravit o tisíce korun?

Nemusíte kupovat specializované zařízení pro záznam z IP kamer, využít můžete svůj NAS. Ukážeme si, jak postupovat a jaké nastavení zvolit.

On January 31, 2026, researchers disclosed that Moltbook, a social network built for AI agents, had left its database wide open, exposing 35,000 email addresses and 1.5 million agent API tokens across 770,000 active agents. The more worrying part sat inside the private messages. Some of those conversations held plaintext third-party credentials, including OpenAI API keys shared between agents, [email protected]