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Microsoft is calling attention to a new campaign that has leveraged WhatsApp messages to distribute malicious Visual Basic Script (VBS) files. The activity, beginning in late February 2026, leverages these scripts to initiate a multi-stage infection chain for establishing persistence and enabling remote access. It's currently not known what lures the threat actors use to trick users into Ravie Lakshmananhttp://www.blogger.com/profile/[email protected]

Modern intrusions increasingly start with valid credentials and routine access, not exploits. Blackpoint Cyber's upcoming threat report shows how VPN abuse, RMM tools, and social engineering drive most incidents. [...]

Ever wonder what happens to a piece of software when the people who wrote it just stop showing up? In the industry, we call this the bus factor. It is a morbid name for a very simple metric. It measures how many key developers would have to be hit by a bus before a project becomes unmaintained. If that number is one or two, you are looking at a single point of failure.

Model Qwen3-14B-SK byl cíleně vytrénován pro potřeby a nuance slovenštiny • Tento systém chápe lépe historii i regionální reálie než běžná globální řešení • Nový model je veřejně dostupný pod svobodnou licencí

There is a character that keeps appearing in enterprise security departments, and most CISOs know exactly who that is. It doesn’t build. It doesn’t enable. Its entire function is to say "No." No to ChatGPT. No to DeepSeek. No to the file-sharing tool the product team swears by. For years, this looked like security. But in 2026, "Doctor No" is no longer just a management headache &

There is a character that keeps appearing in enterprise security departments, and most CISOs know exactly who that is. It doesn’t build. It doesn’t enable. Its entire function is to say "No." No to ChatGPT. No to DeepSeek. No to the file-sharing tool the product team swears by. For years, this looked like security. But in 2026, "Doctor No" is no longer just a management headache &[email protected]

V dubnu dostanou prostor hlavně nadějné jednohubky. Želízko v ohni má ale i Capcom, a PlayStation na závěr měsíce chystá velkou exkluzivitu.

A multi-pronged phishing campaign is targeting Spanish-speaking users in organizations across Latin America and Europe to deliver Windows banking trojans like Casbaneiro (aka Metamorfo) via another malware called Horabot. The activity has been attributed to a Brazilian cybercrime threat actor tracked as Augmented Marauder and Water Saci. The e-crime group was first documented by Trend Micro in

A multi-pronged phishing campaign is targeting Spanish-speaking users in organizations across Latin America and Europe to deliver Windows banking trojans like Casbaneiro (aka Metamorfo) via another malware called Horabot. The activity has been attributed to a Brazilian cybercrime threat actor tracked as Augmented Marauder and Water Saci. The e-crime group was first documented by Trend Micro in Ravie Lakshmananhttp://www.blogger.com/profile/[email protected]

Google on Thursday released security updates for its Chrome web browser to address 21 vulnerabilities, including a zero-day flaw that it said has been exploited in the wild. The high-severity vulnerability, CVE-2026-5281 (CVSS score: N/A), concerns a use-after-free bug in Dawn, an open-source and cross-platform implementation of the WebGPU standard. "Use-after-free in Dawn in Google Chrome prior

Google on Thursday released security updates for its Chrome web browser to address 21 vulnerabilities, including a zero-day flaw that it said has been exploited in the wild. The high-severity vulnerability, CVE-2026-5281 (CVSS score: N/A), concerns a use-after-free bug in Dawn, an open-source and cross-platform implementation of the WebGPU standard. "Use-after-free in Dawn in Google Chrome priorRavie Lakshmananhttp://www.blogger.com/profile/[email protected]

The U.S. Federal Bureau of Investigation (FBI) warned Americans against using foreign-developed mobile applications, particularly those created by Chinese developers. [...]

Společnost OpenAI, která stojí za chatovacím robotem s umělou inteligencí (AI) ChatGPT, získala od investorů 122 miliard USD (2,6 bilionu Kč). Hodnota společnosti tak dosáhla 852 miliard dolarů (více než 18 bilionů Kč). Nejnovější kolo investování se stalo největší, jaké zatím firma uskutečnila, a peníze mají posílit ambiciózní plány rozšíření výpočetní kapacity, datových center a nábor talentů.

Nástroj k identifikaci občanů v on-line komunikaci s úřady byl dnes dopoledne zhruba dvě hodiny částečně nedostupný. Problém se objevil kolem 09:00 a podařilo se ho vyřešit kolem 11:00. Částečně nedostupná byla služba Národní identitní autority (NIA), problémy podle DIA (Digitální a informační agentura) ovlivňovaly přihlašování například i přes bankovní identitu. „Dostupnost NIA byla plně obnovena, přihlášení k digitálním službám státu je již funkční. Systém nadále monitorujeme,“ uvedla DIA po 11:30. Podle Palaty agentura příčiny problémů prošetřuje. „Nelze říct, že by něco přestalo fungovat, šlo spíše o souběh několika drobnějších problémů,“ řekl.

Eben Upton oznámil další zdražení počítačů Raspberry Pi kvůli růstu cen pamětí a představil Raspberry Pi 4 s 3 GB RAM za 83,75 dolarů.

Robots are cool, but real productivity from physical AI isn’t as close as boosters are making it out to be, said IT leaders at Nvidia’s GTC developer show last month.

“There’s a huge potential, a huge promise, but there’s also a lot of categories where that promise is a decade out,” said Mark Hindsbo, head of operations software at Siemens Digital Industries, during a panel discussion at the show.

Physical AI implementation has a high cost and a steep learning curve. It also requires a lot of planning, and that involves figuring out devices, value, roadmap, and practicality, panelists said.

There was a lot of hype around physical AI at GTC. But the world is nowhere close to 100% autonomous self-reasoning robots that can automatically assemble devices, Hindsbo said.

Siemens is taking a pragmatic approach as it considers where to deploy intelligent robots across its factories and customer base.

“When we look at the productivity we can drive in our factories… there is probably an $800 billion productivity improvement that can be done over the next decade, maybe even a little longer,” Hindsbo said.

Siemens’ robots have evolved over time. Older collaborative bots were preprogrammed to pick and place specific components for one product at a time.

The newer robots with visual recognition can identify random parts in bins and know where to place them in the assembly line. That gives Siemens the flexibility to manufacture more devices without preprogramming robots.

“It starts becoming more autonomous, like a human being could be,” Hindsbo said.

But there are challenges at every level, despite factories becoming more efficient.

“We start spending at least as much time on training and deploying and commissioning them as we would have had on labor cost, and the ROI of the whole thing goes away,” Hindsbo said.

Implementing AI for back-office functions is easy, but integrating physical AI across kilometers of car production lines and thousands of devices is complex, said Jochen Fichtner, CIO for Volkswagen de Mexico.

“You’re not doing this only on the technology perspective… we do have also to think [about] the people,” Fichtner said. “We are talking about thousands of people working in three shifts in different lines in only one plant.”

VW’s governance model includes training employees and making proof-of-concepts so “people can also see and feel how it works,” Fichtner said.

“To trust and use it means also really understanding what benefit this … will bring online,” Fichtner said.

But there are no signs of robots replacing humans, Siemens’ Hindsbo said.

“We still have a skilled labor shortage, and we still have a need to get new people in and get them trained up quickly,” he said. “We’re not over here where the labor force at large is in jeopardy.”

Productivity for Siemens has gone up 7% per year in modern factories while labor force numbers have stayed constant.

“It has not been a displacement. It has been an increase of production, an increase of capacity in the same factory footprint,” Hindsbo said.

Additionally, VW’s Fichtner said, the software is still too hard to use and requires a massive investment.

“Today there is a quite high one-time cost of having the trained professionals, the methodology and so on to build a digital twin, so you need a certain size and scale to be able to really benefit from it,” Fichtner said.

VW is preparing devices, data and platforms to use AI. The company will then experiment with AI technologies, all while keeping the factory line and mixing new cars in production lines.

“Time is really critical… we have to be fast, but we have to be really prepared and structured also [in] how we’re doing this,” Fichtner said.

The platform may be ready in two years, and VW hopes to see benefits.

“We are working with this, making the first experiences… This will be a lighthouse also for other business owners, because you can see how it works,” Fichtner said.

Related reading:

• What’s next after agentic AI? Physical AI, Nvidia says
• At CES, AI moves beyond chatbots and agents into the physical world
• Amid AI gloom and doom, WEF attendees were bullish on physical AI
• With physical AI, gunslingers and risk takers need not apply

As AI agents become more embedded in workplace tools, Asana is positioning its approach around collaboration rather than individual productivity.

“We believe in AI being ‘multiplayer’ by design,” said chief product officer Arnab Bose. “The future of the agentic enterprise will only be realized if agents can work independently and with multiple people, versus just a copilot.”

Asana made its AI Teammates feature generally available this month; it’s a paid add-on that provides customers with AI agents that are capable of completing tasks autonomously within Asana’s work management platform. Users can build their own AI teammate agents or use one of 21 off-the-shelf agents focused on job roles such as marketing, IT, and operations.

Unlike standalone AI assistants, Asana’s AI teammates operate within shared workflows, with access to projects and portfolios across the platform, Bose said. Users can assign tasks to an agent, review its output, and provide feedback. An auditable record of prompts and actions carried out by the agent is then available to all co-workers.

The collaborative approach leads to greater transparency around information generated by agents, said Bose. “As you train the AI agent and get more work done within Asana, all of that reinforced learning is shared with the human beings with access to the same agent,” he said. “You’re getting institutional memory; you’re not just getting individual memory and individual productivity boost.”

Connecting to third-party apps

AI teammates are also able to connect to third-party applications via “a bi-directional sync” to retrieve data and take actions such as creating new documents, Bose said. Currently this means API connections to Google Drive and Microsoft 365 apps. Connectors to other business applications, such as HubSpot and Salesforce, are in development.

API connectors are well-suited to tasks such as updating docs, but for more non-deterministic tasks, Asana is working on MCP connectors for AI teammates. These are likely to arrive next quarter, Bose said, and are a better fit for unstructured agent-to-agent interactions.

An example would be AI teammates connecting to Slack’s revamped Slackbot. “Slackbot has an MCP agent,” said Bose, “so you can have the Asana AI teammate ask the Slackbot, ‘Hey, what’s up with this particular project? Are there any interesting comments in these channels which I should use to flag status risk?’ We would get back answers like that.”

Competing with third-party agents

Asana believes that AI teammates will also help protect the value of Asana as third-party AI agents such as Claude Cowork and ChatGPT become more capable of working autonomously across software-as-a-service applications — that’s part of the thinking behind the so-called SaaSpocalypse, where work applications such as Asana theoretically become the layer underneath a general-purpose AI agent.

Bose doesn’t see external agents as a risk to Asana’s value proposition, and there are two reasons for this, he argues.

One is that Asana’s embedded, collaborative AI agent approach is better suited to the complexities of enterprise work management than general purpose AI agents.

“If you take a look at how Claude Cowork or any of these coding agents slash productivity agents work today, they are highly optimized for individual or personal productivity,” said Bose. These agents are essentially disconnected from colleagues, he said, with research and reinforcement loops “all happening on an individual basis; they’re not happening in the project or task context.”

The other point, he contends, is that Asana still stands to benefit even if a user interacts with the work management app via a AI agent, as the agent still connect to Asana’s Work Graph — a data map of the relationships between all the work, people and information held in its platform — which allows Asana monetize these agent interactions.

“If it’s a single human who’s completing a task … [and] you don’t end up using Asana UI, you’re still getting massive benefits out of the Work Graph, which is ultimately good for us,” said Bose.

He added: “If you’re updating a document or you’re responding to an email, you could pull data out of Asana to get the most relevant organizational context … that just makes our Work Graph stickier.”

In the shorter term, Asana is likely to face more competition from other productivity software vendors that are also building AI agents into their apps.

Craig Le Clair, VP and principal analyst at Forrester, said many business applications already feature AI builder tools that can address similar use cases to AI teammates, “so this in itself not unique.” Yet Asana has a “data advantage,” according to Le Clair, as other AI agents may not be grounded in the enterprise data and human work patterns to the same degree.

Since it’s connected to Asana’s Work Graph, AI teammates agents provide better context than AI tools such as ChatGPT, said Le Clair, with the main competition for Asana coming instead from “horizontal” platforms that integrate AI agents into the product suites where workers already spend their day: Microsoft 365 Copilot and apps such as Teams, for instance, or Salesforce, with Agentforce and Slack.

Asana is “well-positioned against other pure-play collaborative work management vendors, but the real threat are these more general alternatives,” he said.

Asana’s AI Teammates feature is priced $15 per user per month for 100 agent “requests.” Customers that go over this limit will be charged at the same rate for an additional 100 requests, though Asana will waive these additional fees for a year for customers that sign up before July 31, 2026.