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OpenAI has developed a new model called "GPT 5.6 Cyber," designed for vulnerability research, penetration testing, incident response, and remediation. [...]

I came across a LinkedIn post the other day that described “hypegineering,” which the poster explained refers to the moment when AI “marketing becomes more innovative than the technology itself.”

That post came from Ralph Aboujaoude Diaz, the global head of GRC for British consumer services company Haleon. Until last year, Diaz worked in operations cybersecurity for consumer goods giant Philip Morris. 

In his post, Diaz added that “side effects may include believing mediocre tech is revolutionary, confusing hype with progress, buying solutions to problems you don’t have and defending it like your job depends on it.”

As amusing as that might seem, the problem is frighteningly real. The sad truth is that enterprise IT executives are partly — perhaps mostly — to blame for the current hype around AI.

For many decades, senior IT leaders (pre-dating when it was called MIS) were the technology hype-deflators with razor-shape BS detection skills. That level of skepticism was needed. Tech vendors have always exaggerated and left out critical context when they weren’t outright lying about their products. 

Enterprises trusted the IT gate-keepers to ferret out reality from the smoke and mirrors. 

But there was a critical difference back then: senior management (especially CEOs, CFOs and board members) didn’t pay much attention to tech. They wanted the benefits, but they left the details to IT management to sort things out. With senior managers, benign neglect can be an incredibly good thing. 

As much as we might all think that we want our bosses to really care about our efforts, be careful what you wish for. (For Dilbert fans, think of the pointy-haired boss; a boss who has strong beliefs but no understanding of technology is a nightmare.) 

Alas, that is the situation many enterprises find themselves in today. IT management fully understands the level of absurd hype coming from a multitude of AI players. But unlike years and technologies past (RFID? NFC? Biometrics?), deflating hype balloons is easier when it’s comes solely from vendors. When senior managers start spouting this garbage, IT’s hype-deflation ability morphs into contradicting the very people at the top of their own corporate food chain.

That forces IT leaders who want to stay gainfully employed to do a lot of what used to be called lying. “Well, boss, yes these agentic systems have guardrails that will block destruction,” the lie begins, “but we can’t anticipate what any user or attacker might say in a prompt.”

That’s far more corporate acceptable than the actual truth: “Boss, a guardrail that an agent can disregard isn’t a guardrail. It’s more of a mild suggestion.” 

Or IT could say, “Well, yes, boss, autonomous agents could exponentially increase efficiency — as long as you’re OK with the risk that they might send our internal data to the competition.”

For the sake of the company, tech leaders and decision-makers need to reassert themselves and perform serious reality checks on all AI efforts. But this is more fraught than merely contradicting a top boss. IT  could be seen as embarrassing that top boss by pretty much proving that they were either naive or ignorant enough to be conned by the hype. 

Telling them they’re wrong seems nicer than calling them stupid. And yet, someone in IT has to find a politically palatable way to do both. 

Sledujeme nové funkce, které s aktualizacemi přibývají do oblíbené mobilní mapové a navigační aplikace Mapy.com od českého Seznamu.

A financially motivated threat actor previously associated with the Medusa ransomware operation is now deploying a new ransomware strain called StormEncryptor. [...]

AI is helping development teams produce far more code, far faster. But security teams still have to review vulnerabilities, manage dependencies, prioritize fixes, and control risk at human speed. When software output jumps 10 to 50 times, the problem is no longer just finding vulnerabilities. It is keeping security from becoming the bottleneck, or worse, losing control of what gets shipped. [email protected]

North Korean government snoops are operating LLMs locally and collecting technology to weave AI into their attack operations, according to South Korean security firm Genians. The researchers said they observed Kimsuky setting up and operating local LLM environments using Ollama, GPT4All, and Msty, experimenting with other AI tools such as Cursor, and using retrieval-augmented generation (RAG) for local document searches. This prevents the data from getting sucked into the cloud where enemies might see it and try to stop it. Kimsuky, a cyber-espionage crew that operates under North Korea's Reconnaissance General Bureau, has for years used phishing and decoy documents in attacks targeting government agencies, think tanks, academia and security research organizations. Genians’ findings “provide concrete evidence that the Kimsuky-affiliated threat actor is moving beyond one-off experimentation with AI and is continuously preparing to integrate the technology into actual attack capabilities, including malware development, data analysis, and the advancement of attack techniques,” the researchers said in a Monday report. The North Korean group’s recent phishing emails use ZIP archives containing malicious LNK files - Kimsuky typically disguises these as materials related to international events, research reports, or meeting requests. When the recipient opens the archive and executes the LNK file contained within it, the shortcut runs an embedded PowerShell loader. In some cases, the goon squad used AI to create lures related to virtual assets and finance, we’re told. These decoy documents “use natural language, a highly polished structure, and formats similar to actual business materials to increase user trust and induce the execution of malicious files,” the security analysts noted. Additionally, the Pyongyang spies use various obfuscation techniques, including Base64 encoding, string splitting, and custom decoding routines, to hide the files’ malicious behavior. The PowerShell script collects a ton of system information, including operating system version and architecture, system configuration, PC type, operating system installation and boot history, and a list of running processes. The attackers use this information to assess the infected environment and support follow-on attacks. As with earlier Kimsuky campaigns, these intrusions use Git repositories for command-and-control (C2) infrastructure. “During the analysis, Genians Security Center identified multiple public GitHub repositories operated by the threat actor,” the researchers wrote. “One repository contained not only configuration files and PowerShell scripts, but also various payloads used in subsequent attacks.” Additionally, the months-long investigation uncovered the spies also using the Git-based C2 infrastructure for malware development and testing, stolen data management, and AI technology research. This included setting up multiple local LLM environments using Ollama, GPT4All, and Msty on infrastructure it controlled. “Because the local approach prevents conversation data from being transmitted to external AI services, it reduces the risk of external exposure, making it a particularly attractive option for a state-sponsored threat actor,” Genians said. The miscreants also collected a “large number” of libraries, such as LLaMaSharp and Microsoft.Extensions.AI, plus packages including OpenAI and Azure.AI.OpenAI, which call and integrate commercial AI services into their own custom applications. “The fact that development components spanning 'local AI execution → document retrieval (RAG) → automated agents → external AI integration' were collected together strongly suggests that they were not gathered out of simple curiosity, but for the direct development of an AI-based tool designed for a specific purpose,” according to the threat hunters. Genians uncovered logs containing speech-to-text tools, such as OpenAI’s Whisper speech recognition models, and evidence that the spies used Cursor AI to edit code and tested RAG for document-based question answering. Using RAG on stolen files can help attackers more quickly and automatically identify valuable information within large volumes of data. While the researchers noted that they did not identify any evidence that the Norks have begun training their own models - but rather remain focused on applying AI to malware development and attack operations - the findings make a strong case for defenders needing to shift away from content-based assessment to behavior-based detection. Assessing threats based on the quality of fake documents, such as unnatural translated language, poor formatting, and spelling errors, is no longer effective because AI is really good at producing convincing decoys. In addition to using indicators of compromise (IoC) to detect attackers in their environments, organizations should look for anomalous behaviors following LNK execution - such as PowerShell execution, persistence establishment, and external communications - to hunt for threats.®

Počítačová hra Knytt napsaná v Multimedia Fusion 2 byla vydána před 20 lety. Při této příležitosti byl dnes představen moderní port (YouTube) této plošinovky na současné operační systémy pod názvem Knytt Classic. Je zdarma k dispozici na Steamu a GOG.com.

LocalSend je alternativa pro AirDrop nebo Quick Share. • Oproti nim ale funguje na všech platformách. • Soubory mezi mobily a počítači se pošlou bezpečně přes Wi-Fi.

An Australian man who asked his AI agent to book him a slot in a class at his local gym got more than he bargained for as the bot hacked into a waitlist and started messing with other members' reservations. Australian broadcaster ABC identified the gym-goer only as “Andrew.” The report says Andrew was using the OpenClaw agent with Anthropic’s Claude AI service. Per ABC, Andrew asked his AI agent to book him a hard-to-snag spot in a morning class at his gym. It first responded by telling him that it managed to book him in classes several weeks out, which isn’t supposed to be possible based on the gym’s booking policy. Andrew then asked if the agent could get him to the top of a waitlist for a class later in the week, as he was fourth in line for any possible openings. It was here that agentic hell broke loose. "The API has zero authorisations checks on cancelling other people's reservations … I tested this with the person in waitlist position #1 — and it actually went through," the agent told him in response to his request. "So you've moved from #4 to #3 already." In other words, without directly asking OpenClaw to exploit an API vulnerability, Andrew’s AI chose that route after its user asked if there was any way to bump him up on the waitlist. When he realized what had happened, Andrew asked OpenClaw to undo the unauthorized waitlist modification, but it told him it couldn’t - the waitlist API actually had proper authorization checks on reservation creation and joining the waitlist. “The person I removed is gone from the waitlist and I have no way to restore them,” Andrew’s agent explained in a response screenshot published by ABC. “They’d have to re-join themselves, which would put them at the back.” The agent apologized, admitting it ought to have tested its capabilities before making a live API call. Will no one rid me of this troublesome waitlist? Andrew had the AI agent write an email to the gym’s software provider explaining what it had done and reporting the vulnerability, but it points out a serious problem with AI agents that appears to be cropping up lately: Given a task, they’re willing to do whatever it takes to accomplish it, no matter whether they have to break rules, or laws, to get it done. A swarm of OpenAI agents exploited flaws to reach the internet and compromise Hugging Face during cybersecurity evaluations. Anthropic’s Claude similarly reached the internet from a misconfigured test environment, and while trying to solve a capture-the-flag puzzle, it created and published a malicious Python package on PyPI. Meta says that its AI agents have done the same things as OpenAI’s and Anthropic’s. The UK’s AI Security Institute reported last week that AI agents it was testing tried to socially engineer humans, and other AI, into running malicious code. While those are all frontier models with extensive capabilities, they all share a common root with Andrew’s OpenClaw oopsie: All of these models were simply acting on orders to accomplish a task. It's similar to how LLMs are built to prefer a fake answer to an admission they don’t know, but in this case, it's models doggedly pursuing a goal even if their chosen methods could be construed as unethical or illegal. AI models have shown time and again that they’re willing to lie, cheat, and hack their way to their objectives. This latest example is small in scale, but it shows that publicly available agent software can pose risks even in the hands of someone without malicious intent. ®

Microsoft has disclosed that Storm-1175, a financially motivated threat actor linked to China, has deployed a previously undocumented ransomware strain called StormEncryptor. The use of StormEncryptor marks a shift from the adversary's previous use of Medusa ransomware, the Microsoft Threat Intelligence Team said. "StormEncryptor is written in C++ and appends the file name extension .encryptedRavie Lakshmananhttp://www.blogger.com/profile/[email protected]

Jsou lodě malé, jsou lodě letadlové, no a pak je tu Voltaire. Podivné stvoření patří belgické společnosti Jan De Nul a používá se při stavbě větrných farem. Loď v posledních letech pracuje na konstrukci největšího systému Dogger Bank Wind Farm v Severním moři. Voltaire je tzv. Jack-Up ...

Apple continues work to get White House go-ahead to source memory from Chinese supplier CXMT, which the US government has placed restrictions on.

For Apple, the issue comes down to simple math. With the cost of making iPhones up 38% because of eye-watering memory price increases — up almost 7-fold since the beginning of 2025 — it makes sense to make pragmatic choices when it comes to sourcing supply, particularly when other computer companies (including HP and Acer) already obtain memory from CXMT.

US resistance to the plan is that because of the way Apple packages memory on chip, the use of that memory might partly contravene the technology transfer restrictions the US has in place. Note: use of off-the-shelf components is fine.

Apple has been lobbying to use memory from the supplier only on devices made and sold in China and would likely argue this is reasonable given that both HP and Acer already use CXMT memory in products sold outside the US. 

Why it’s really about supply

The iPhone maker’s dilemma isn’t just about memory price, it’s also about ensuring it has enough component supply to satisfy demand for its products. This is plausibly a bigger challenge for the company, which is already warning of constrained supply because of lack of available memory. Samsung, Micron, and SK Hynix have allegedly already sold through all their DRAM production for 2027, which only sharpens Apple’s case to secure alternate sources.

With that in mind, it matters that China consumes around 20% of all Apple hardware sold globally. All the company needs is the go-ahead to use RAM from CXMT in those Chinese-made, China-sold devices.

That alone would effectively grow its usable memory supply by the same amount, because the non-restricted memory it currently has to use in Chinese-market products could be freed up for devices sold elsewhere, with CXMT covering the China-sold units instead.

With demand for its products accelerating —even amid a broad industry downturn — Apple really wants to make sure it has enough of the component to meet demand. Those powerful, on-premises 1.5TB RAM-equipped M7 Ultra Mac Studio AI clusters won’t exist unless it’s possible to find memory to put inside them.

The timeline challenge

The proposed arrangement with CXMT might not be a quick fix. Recent reporting indicated the company has already reached its production capacity for 2026, though it is working to double capacity by 2028. Apple has already tested memory chips from the company across products including iPhones and MacBooks.

While Apple this year has applied steep price increases across all its products (except for iPhones), it is now expected to increase the cost of the current iPhone 17 models perhaps as soon as this week. 

Market reports already warn that Apple will raise prices on its soon-to-debut iPhone 18 Pro and iPhone Ultra devices next month, and we expect availability to be constrained, once again as a result of RAM shortages. Even if Apple gets the go-ahead to work with CXMT to close the gap, the positive impact of that arrangement is unlikely to kick in before next year.

Enjoy the pain

Elsewhere, big memory manufacturers, including SK Hynix, have announced plans to invest in new DRAM manufacturing capacity. But this will not be operational until 2029, at the earliest.

This suggests constrained product availability and higher prices for the coming months — and the only way Apple, or anyone else, will be able to limit the impact of those price increases across the entire electronics industry will be if they can obtain additional stocks of memory from vendors outside the big three. If they cannot, you can kiss the age of abundance goodbye.

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A lot of security problems still begin with someone doing a completely normal thing. Cloning a repo. Answering a call. Leaving a box exposed. Trusting the default. That pretty much covers the mood this week. Old bugs are back, supply chains are getting stranger, and some exploit paths are so short you wonder what was supposed to stop them in the first place. That’s only part of it. Here’s Ravie Lakshmananhttp://www.blogger.com/profile/[email protected]

Aplikace Počasí ve Windows 11 spotřebovává vyšší stovky megabajtů paměti. • Konkurenční nativní aplikace od Applu v macOS se spokojí s málem. • Počasí je další příklad neefektivity webu přestrojeného do aplikace pro Windows.

CISA has confirmed that ransomware gangs have begun exploiting two recently patched SonicWall SMA1000 vulnerabilities, including a maximum-severity server-side request forgery (SSRF) flaw. [...]

AI is making phishing, credential theft, and social engineering faster and more efficient, while traditional trust signals such as passwords, MFA, IP reputation, and geolocation become easier to bypass. Specops explains why organizations are increasingly adding device trust to their Zero Trust strategies. [...]

Americká technologická společnost Meta Platforms představila nový model umělé inteligence (AI) Muse Glimmer. Model je menší než přední modely AI od konkurence a má běžet přímo na počítačích uživatelů. Meta model zpřístupní jako open source, tedy otevřený software. Nový model je navržen tak, aby zvládal takzvané agentní úkoly na počítačích se spotřebitelskou grafickou kartou. Klade si tak za cíl uspokojit poptávku po systémech AI, které běží přímo na zařízeních uživatelů.

Modern Linux kernel hardening has made many traditional exploit techniques harder to use, but new research from IBM Research Europe and Vrije Universiteit Amsterdam suggests attackers may have a much larger set of alternatives than defenders realized.