A new 2026 IoT Security Landscape Report from Bitdefender and NETGEAR analyzed 5.4 billion security events across approximately 10.4 million connected homes, finding that smart TVs, smart plugs and network storage devices account for 67.1% of observed device vulnerabilities.
The average household now has 24 connected devices, up from 22 last year.
Researchers found that 90.1% of detected attack activity involved reconnaissance, as automated tools scanned networks for vulnerable devices. Smart TVs accounted for 22.7% of vulnerability observations, followed by smart plugs (22.4%) and network-attached storage (22%).
The report also found that 99.97% of observed device vulnerabilities involved publicly documented CVEs.
Researchers warned that compromised IoT devices can serve as proxies for malicious traffic, collect sensitive information or provide attackers with access to other devices on home networks.
Denis Calderone, Principal / CTO, Suzu Labs:
“I like how the Bitdefender report reframes devices as proxies, sensors, and footholds, and not just targets. The old question was whether your smart TV could get hacked. The better question is what an attacker can do with the trust, bandwidth, and sensors attached to it. Your television is always on, always connected, and holds a trusted residential IP address, that helps to support an underground economy that is increasingly renting out residential infrastructure for a fee.
“The enterprise CISO has to rethink the network perimeter now. When employees work from home, corporate devices and traffic are now on the same network as the smart plug that no one has, or ever will, patch and a TV that’s already in the business of watching you. Automatic content recognition software samples what you watch and feeds it to advertisers, and researchers this year found proxy SDKs bundled into free TV apps that rent out your home IP address to third parties. The average home now has 24 connected devices, most with little device update support, if any. Smart TVs alone accounted for 270 million vulnerability observations in this report.
“If you’re reading this, the prescription is straightforward enough. Update your router firmware, change default admin credentials, turn off UPnP, enable whatever built-in security features your edge device offers, and put IoT devices on a guest network. But let’s be honest. Most home users are never going to do any of that. They’re not reading cybersecurity trade press, and they’re not logging into a router admin panel on a Saturday afternoon. The burden has to shift to two places. First, the ISPs. They manage the edge device in most deployments, and they should be shipping routers with security enabled by default, auto-updating firmware, and alerting customers when a device on their network starts behaving like a proxy node. Second, enterprise security training. This is a threat that many users and CISOs have not yet aligned on, and if your awareness program doesn’t cover home network hygiene for remote workers, you’re leaving the perimeter undefended. The consumer shouldn’t have to be the security operations center for their own house, but right now nobody else is doing it for them.”
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John Strand, Owner, Black Hills Information Security:
“This article looks at the attack surface for home IoT devices. I really feel like we need a similar study for small to medium sized businesses. I think we’d see much the same spread of vulnerabilities across those devices.
“One thing that concerns me is the immense variety of IP cameras and security systems in these businesses. They get installed, almost become part of the building, and then they’re there forever.
“This is definitely eye opening. But I think the broader context matters. Home IoT is just one slice of the problem, and I suspect a similar study of business devices would tell a very familiar story.”
I am getting ready to do an inventory of all my smart devices and lock down anything and everything from speaking to the outside world unless they have a pressing need to do so.
UK warns AI-powered ransomware will likely target critical infrastructure by 2028
Posted in Commentary with tags UK on November 4, 2026 by itnerdThe UK’s National Cyber Security Centre (NCSC) has warned that AI-powered malware is highly likely to be used in a ransomware attack against the country’s critical national infrastructure by 2028.
The assessment, published in its 2026 Annual Review, identifies growing risks to essential services as cybercriminals and state-backed attackers increasingly incorporate artificial intelligence into their operations.
The NCSC said AI is accelerating reconnaissance, social engineering, vulnerability discovery and exploit development, allowing attackers to operate at greater speed and scale. It warned that AI-assisted vulnerability discovery could enable attackers to exploit weaknesses before organizations deploy patches.
The annual review recorded 1,831 reported cyberattacks between September 2025 and August 2026, including 337 incidents requiring NCSC assistance and 80 classified as nationally significant.
The agency emphasized that most successful compromises still exploit familiar weaknesses, including unpatched vulnerabilities, stolen credentials and social engineering, while AI is making those existing techniques more efficient.
ㅤDarin Fredde, Sr. Director of Technical Marketing Engineering, Ridge Security
“The NCSC’s warning isn’t that ransomware has suddenly developed a mind of its own. It’s that AI is making familiar attack methods faster, more scalable, and potentially more accessible. An attacker doesn’t need to invent a new vulnerability when existing weaknesses, stolen credentials, and poorly understood trust relationships still provide opportunities.
“For critical infrastructure, the concern goes beyond compromised systems. It’s the potential disruption of services that communities depend on every day. I’ve spent much of my career examining the difference between controls organizations believe are protecting them and what those controls withstand when tested. AI could make that gap increasingly consequential.
“We should be careful not to confuse AI-assisted attacks with fully autonomous threats. We should also recognize that AI offers defenders opportunities to discover vulnerabilities, correlate evidence, and prioritize remediation. But capability is different from verification. An AI system reporting that a vulnerability has been fixed is not proof that the attack path has been eliminated.
“The challenge is to use automation to continuously test our assumptions, independently validate outcomes, and strengthen our ability to contain and recover from disruption.
“The question isn’t whether attackers will get faster. It’s whether we can make verified resilience move faster than the threats we’re preparing to face.”
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John Strand, Owner, Black Hills Information Security
“More and more organizations are sounding the alarm about AI-powered attacks, and I cannot help but feel we’re being caught flat-footed. A lot of organizations have discussed these attacks as some nebulous problem for the future. For many governments and organizations, that problem is here right now. And it’s only escalating.
“We have no time to waste. Every organization needs to reduce its external attack surface and use deception wherever possible to create tripwires for attackers. Those steps need to happen now as we prepare for the next wave of AI-powered attacks.”
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Jacob Krell, Senior Director, Secure AI Solutions & Cybersecurity, Suzu Labs
“The UK’s National Cyber Security Centre (NCSC) put a date on it. Its 2026 Annual Review assesses it as highly likely that AI-powered malware will feature in a ransomware attack on UK critical national infrastructure (CNI) by 2028. Last week’s funding announcement, £60 million for Cyber Shield and £70 million for a National Exposure and Real-Time Vulnerability (NERV) Centre, points at discovery. Discovery was never the hard part.
“CNI runs under-patched and under-tested for a rational reason, a patch that bricks a controller at a water treatment works is a service outage, so operators defer. Every operational technology (OT) engineer I’ve met wants to patch. AI-assisted discovery is compressing the window between a published bug and a working exploit, and the people who can safely test those systems, the ones who know which pumps tolerate a five-minute stop, rarely come at public sector pay.
“The same availability fear is what ransomware monetizes. Immutable backups, copies an attacker cannot alter or delete, turn a total-loss event into a recovery exercise. The Cyber Security and Resilience Bill should make them a requirement for CNI operators.”
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Joshua Marpet, Senior Product Security Consultant, Finite State
“While much critical infrastructure is primarily a nation-state target, much of it is also a target for commercial cybercrime.
“As AI tokens are still fairly inexpensive, and even a small inference infrastructure can create phishing emails that pluck heartstrings or push a false sense of urgency, it’s relatively trivial to build that route into a company or agency. Once you build the way in, getting someone to click a malicious link is pretty easy.
“This is not “huge ai writes incredibly complex formerly unseen zero-day vulnerability!!!”. This is “tiny AI writes an email to elicit an emotional reaction of sorrow, pity, or urgency”.
“So rather than spending $10k to build a new zero day, I can spend 20 minutes to write an email and some shell code. For free. From hugging face or evilgpt.
“But if you feel the need to build some revolutionary malware, you can always spend about 120k and build your own high end ai infrastructure, with a free Chinese model such as Kimi, Qwen, or deepseek. 120k?!?? One or two good hits on the ransomware, and you’ll make your money back.
“Either way, it’s relatively simple to use AI to find vulnerabilities, or to build phishing emails to deploy malware.
AI is going to be a big problem for you right now. The question is will you answer the call and defend your organization against AI?
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“So a warning it may happen? No, I’m sorry. It’s already happening. The horse has left the barn.”
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