Privacy Mistakes that Keep Security Experts Always Cautious

A lock icon, signifying an encrypted Internet connection, is seen on an Internet Explorer browser in a photo illustration in Paris. REUTERS/Mal Langsdon
A lock icon, signifying an encrypted Internet connection, is seen on an Internet Explorer browser in a photo illustration in Paris. REUTERS/Mal Langsdon
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Privacy Mistakes that Keep Security Experts Always Cautious

A lock icon, signifying an encrypted Internet connection, is seen on an Internet Explorer browser in a photo illustration in Paris. REUTERS/Mal Langsdon
A lock icon, signifying an encrypted Internet connection, is seen on an Internet Explorer browser in a photo illustration in Paris. REUTERS/Mal Langsdon

When it comes to privacy, it's the little things that can lead to big mishaps.

Privacy and security are often thought of as one and the same. While they are related, privacy has become its own discipline, which means security experts need to become more familiar with the subtle types of mistakes that can lead to some dangerous privacy snafus.

- Privacy System

With General Data Protection Regulation (GDPR) going live last spring in Europe and the California privacy law becoming effective in 2020, companies should expect privacy to become more of an issue in the years ahead. Colorado and Vermont have passed privacy laws, as has Brazil, and India is well on its way to passing one of its own.

Mark Bower, general manager and chief revenue officer at Egress Software Technologies, says that first and foremost, companies have to think of privacy by design.

Privacy by design requires companies to ask the following questions: What type of data are we storing? For what business purposes? Does the data need to be encrypted? How will the data be destroyed when it becomes obsolete, and how long a period will that be? Are there compliance regulations that stipulate data destruction requirements? How will the company protect personally identifiable information for credit cards and medical information?

- Emails mishaps

1. The Accidental email: Egress Software's Bower told the Dark Readings website that many misdirected emails are sent because users type in the first couple of letters of a name and go with what pops up first. While training users to check the To: field twice before hitting "send" can help, new machine-learning and AI technologies can track patterns of who users typically send emails to and have them double check they are sending them to the right people. For salespeople or reporters in the media who deal with lots of new contacts, the system can flag that this is the first time they are connecting with this person and ask whether they really want to send that attachment.

2. Somebody forwards a corporate email to a friend, spouse, or personal account: companies need to rethink how they want to control corporate information they send to their staffs, Egress Software’s Bower adds. The emails could be about something seemingly innocuous, like holiday plans, or inside information about a new product. Either way, companies have to decide whether they're going to let people forward them to people outside of the company or restrict or block people from sending them.

3. A user adds a new person to an email string who shouldn't have access: emails can get into the wrong hands when someone adds a person to a thread to keep him in the loop, but then somebody else includes confidential information that the added person shouldn't have access to, Bower points out. Once again, people need to be trained on how to be more sensitive to email strings and who really needs to see the information being sent. Technologies that use AI and machine learning can help, he says, and they can be used to block access if it's discovered that information has been sent to somebody who does not have proper access rights.

- Sync and Share

4. A 'Sync and Share' causes a potential data breach: Chuck Holland, director of product management at Vera Security sees that companies have to rethink their BYOD policies because every time an employee syncs a mobile device, she is syncing data to her personal cloud. Similarly, and maybe worse for the employee, she could be syncing her information to the corporate network.

5. Companies don't practice good off-boarding routines: Holland says companies have to do a better job off-boarding when an employee leaves for another job or for performance reasons. Too often, companies leave old accounts open, and sensitive information could be stored on the hard drives of their computers or in emails. Companies need to understand that hackers look for those types of accounts for information they can sell or to launch widespread attacks.

6. Companies don't encrypt email and data transfers: companies should never send unencrypted data or emails over the corporate network, a BigID's official says. Specific departments that should think extra carefully about privacy and taking care of sensitive personal and corporate information include human resources, marketing, advertising, and accounting, she adds.

7. During M&As, companies use privacy as a bargaining chip: while companies take privacy into account during a merger or acquisition, very often they will use it to have the other company reduce the purchase price, BigID's Farber says. However, after the merger, instead of taking money saved and investing it in privacy and security, it will just move it to the bottom line.



Huawei Bets on Speed Over Shrinking Transistors to Sidestep US Chip Sanctions

 A logo for Huawei is seen during the KubeCon + CloudNativeCon Europe hosted by the Cloud Native Computing Foundation (CNCF) in Paris, France, March 20, 2024. (Reuters)
A logo for Huawei is seen during the KubeCon + CloudNativeCon Europe hosted by the Cloud Native Computing Foundation (CNCF) in Paris, France, March 20, 2024. (Reuters)
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Huawei Bets on Speed Over Shrinking Transistors to Sidestep US Chip Sanctions

 A logo for Huawei is seen during the KubeCon + CloudNativeCon Europe hosted by the Cloud Native Computing Foundation (CNCF) in Paris, France, March 20, 2024. (Reuters)
A logo for Huawei is seen during the KubeCon + CloudNativeCon Europe hosted by the Cloud Native Computing Foundation (CNCF) in Paris, France, March 20, 2024. (Reuters)

Huawei's new chip design principle focused on boosting transmission speed rather than continuing to shrink semiconductors offers a path for China to build cutting-edge chips despite US sanctions, though whether it represents a true breakthrough remains to be seen.

China has been barred since 2019 from importing ASML's most advanced extreme ultraviolet (EUV) lithography machines, curbing the ability of its chipmakers to keep up with global leaders like Taiwan's TSMC in relying on ever-smaller manufacturing processes that make chips more powerful.

For decades, the semiconductor industry has been governed by Moore's Law - the observation that the number of transistors on a microchip doubles roughly every two years.

Huawei this week unveiled an alternative approach: cutting the time signals take to move through chips and larger computing systems using a principle it calls the Tau Scaling Law.

Its central technique, LogicFolding, aims to arrange logic, analogue and memory circuits in stacked, more tightly connected structures, potentially improving density, efficiency and clock speeds over the next decade.

Proponents see it as ‌a way to ‌extend chip progress as manufacturing advances begin to slow.

"For Huawei, chips face two key constraints. ‌One ⁠is inevitable that Moore's ⁠Law will hit a physical 'wall' within the next decade," He Tingbo, the president of Huawei's semiconductor business, told China's People's Daily this week.

"The other is accidental because of the external restrictions that Huawei encountered this 'wall' earlier than its peers," she said, in a likely reference to US sanctions on importing advanced EUV machines.

But others argue that reducing latency has always been part of semiconductor design and that many of the underlying ideas resemble existing work in three-dimensional (3D) stacking, advanced packaging and system optimization.

"This is a breakthrough for Huawei, but it's not a threat for TSMC," Nvidia CEO Jensen Huang told reporters in Taipei on Thursday. "TSMC has been using die stacking and 3D packaging for how long now? Almost ⁠10 years. And so TSMC's technology is very advanced."

NOT A NEW CONCEPT?

In the race to ‌build more powerful computing systems, the chip industry has already embraced advanced packaging technologies ‌that stack chips vertically.

TSMC has been at the forefront with its packaging technology called SoIC, which enables more tightly integrated heterogeneous chiplets to reduce ‌size and improve performance.

Memory chip makers such as SK Hynix and Samsung Electronics also use advanced 3D stacking and packaging technologies ‌to produce multi-layer memory chips, a key component of AI chipsets, and to improve power efficiency and performance.

Huawei believes LogicFolding may actually go beyond the techniques commonly used in 3D integrated circuit stacking, thanks to "very finely and carefully split the critical paths of logic circuits across multiple layers," according to Liao Heng, chief scientist at Huawei Semiconductor.

But Bernstein analysts cautioned in a note that while stacking multiple chip layers boosts transistor density, it also increases power ‌density and risks overheating chips. Production yields and costs will be another barrier for adoption, they added.

Huawei's own roadmap also points to those challenges. Huawei's He said the approach would require ⁠new semiconductor design tools suited to ⁠folded chip architectures, as well as better ways to manage heat across devices ranging from smartphones to large AI data centers.

"With the methodology of not optimizing the area on a chip level, but on a system level based on time, that will dramatically change the capability requirements for the EDA (electronic design automation) vendors," said Handel H. Jones, CEO of International Business Strategies, during a panel discussion on Tau Scaling on Tuesday.

Mainstream EDA software produced by vendors like Cadence Design Systems and Synopsys plays a crucial role in creating blueprints for sophisticated semiconductor devices.

EYES ON NEW KIRIN CHIP

Huawei's most concrete claims centered on a new Kirin smartphone chip that will be launched later this year, which would be the first to use its LogicFolding architecture.

Compared with its earlier single-layer design, the new chip would improve power efficiency by 41%, and raise the chip's peak operating speed by nearly 13%, Huawei's He said in a speech on Monday.

Those figures would be significant if achieved at commercial scale. But Huawei did not provide production yield information, cost comparisons or a clear explanation of how the gains would compare with rival chips made using more advanced process nodes.

"There's nothing concrete that can be independently verified or benchmarked against other players at the moment," said Lian Jye Su, chief analyst at tech research firm Omdia.


Humanoids Dance and Thread Needles as Japanese Robotics Developers Look to Outdo Chinese

A humanoid robot poses for photo at the Humanoids Summit 2026 in Tokyo, Thursday, May 28, 2026. (AP)
A humanoid robot poses for photo at the Humanoids Summit 2026 in Tokyo, Thursday, May 28, 2026. (AP)
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Humanoids Dance and Thread Needles as Japanese Robotics Developers Look to Outdo Chinese

A humanoid robot poses for photo at the Humanoids Summit 2026 in Tokyo, Thursday, May 28, 2026. (AP)
A humanoid robot poses for photo at the Humanoids Summit 2026 in Tokyo, Thursday, May 28, 2026. (AP)

Mechanical hands dexterous enough to thread a needle, childlike dancing robots and adult-sized ones to help with deliveries were on display Thursday as the Humanoids Summit Tokyo opened.

Among the dozens of companies taking part, including well-known players like Boston Dynamics and Toyota Motor Corp., the big stars now were clearly the Chinese.

Chinese newcomers, like Booster Robotics and LimX Dynamics, took the technology initially developed in Japan and the US and fine-tuned it, often for cheaper mass production. It’s a repeat of what happened in other Japanese industries, from consumer electronics to cellphones and electric vehicles. In humanoids, Japan was initially ahead but then failed to produce major commercial solutions.

Tim Hornyuk, author of “Loving the Machine: The Art and Science of Japanese Robots,” who was at the event, categorized it as the so-called “Galapagos syndrome,” referring to how innovative Japanese products evolve in isolation and end up not translating for the international market.

“I really hope that Japan can come up with a Ford Model T-version of humanoid roots. But I think China has already stolen their lunch. It’s a bit too little too late,” he said.

The dancing and wiggling Mini Pi Plus robot from High Torque of China, for instance, still can’t help at an auto plant or do your dishes. But it’s cute. And it doesn’t come with an eye-popping price tag, starting at $5,500.

One telling example of Chinese robotics use in Japan was GMO, a Tokyo-based AI and robotics company working on a humanoid with camera eyes that will help with Japan Airlines cargo and other chores at an airport.

The key is to have the robot do the work in the same way as people so they would be interchangeable, an initiative meant to tackle the labor shortage problem that is increasingly serious in Japan.

The inner robotics workings were all courtesy of Unitree, a Chinese outfit, which is also working on a four-legged dog-like “stellar explorer.”

Experts say Japan, with its finesse in manufacturing, proved a good breeding ground for robotics development. The sociological backdrop of a public receptive to robotics also helped.

A recent Pew global survey showed that people in Japan are highly aware of AI but are less anxious about it, at about 28%, than people in the US at 50%.

Japanese automaker Honda Motor Co., a leader in robotics with its walking humanoid Asimo, first shown in 2000, was demonstrating a motorized four-fingered robotic hand that could screw on and off tiny bolts, or thread a needle.

It didn’t seem to bother Keisuke Tsuta, assistant chief engineer, that similar mechanical hands were on display galore near his booth, many of them from Chinese makers.

Japanese robotics show their prowess

The technology Honda had developed is more durable and powerful than rival offerings, and the Japanese have historically shown they can excel at quality mass production, according to Tsuta.

The looming threat of a Chinese robotics domination didn’t seem to phase Osaka University Professor Hiroshi Ishiguro, who has worked on humanoids for decades, including one that’s his clone.

“What’s significant is that Japan has a culture that’s receptive to robotics. If we’re going to really start using robots in society, Japan is the ideal place,” he said, stressing that Japanese don’t discriminate against robots.

His robotic counterpart, dressed all in black like the professor, did as good a job, if not better, of answering a key existentialist question on the meaning of robots.

“I think robots will coexist with people. Robots are the mirror of human beings,” the robot replied in a slightly monotonous but human-like voice.

Earlier, the professor had answered a similar question, but a bit differently.

“No one is interested in me. All everyone cares about is my robot,” he said, sitting next to his twin-like humanoid.

“As long as people identify with what I have produced, I am a success,” he added.


Introducing Argus, a Robot with 20 Legs and Eyes Built to Move and See in Any Direction Instantly

 Jiaxun Liu, a PhD student, works on a robot named Argus at Duke University's General Robotics Lab in Durham, NC, Tuesday, May 26, 2026. (AP)
Jiaxun Liu, a PhD student, works on a robot named Argus at Duke University's General Robotics Lab in Durham, NC, Tuesday, May 26, 2026. (AP)
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Introducing Argus, a Robot with 20 Legs and Eyes Built to Move and See in Any Direction Instantly

 Jiaxun Liu, a PhD student, works on a robot named Argus at Duke University's General Robotics Lab in Durham, NC, Tuesday, May 26, 2026. (AP)
Jiaxun Liu, a PhD student, works on a robot named Argus at Duke University's General Robotics Lab in Durham, NC, Tuesday, May 26, 2026. (AP)

A robot being developed at Duke University is almost ready to face the world, in any direction.

Instead of trying to copy symmetrical shapes from nature by building robots that look like people, dogs or insects, engineering professor Boyuan Chen and his team focused on uniformity in action, or what he calls "dynamic symmetry."

The result was Argus. The roly-poly robot named after a mythological many-eyed giant has depth-sensing cameras attached to 20 telescoping legs that radiate from a central core. With no front, back, top or bottom, it can see and move in any direction instantly.

"Instead of measuring how your legs are arranged around a different part of your body, we’re measuring how fast you can move in any direction," Chen said. "Who said, you know, if you have a robot to help us in a most effective way, it has to look like us?"

In experiments, Argus has navigated sandy beaches and forest undergrowth, rolling over obstacles and stabilizing itself after being pushed. It can climb between parallel brick walls by alternating bracing and thrusting motions with its legs. If one or more motor dies or a leg breaks, it continues to function.

"Watching Argus move is unlike watching any other robot we’ve worked with," said Jiaxun Liu, a graduate student and co-author of a study about Argus published online Wednesday in the journal Science Robotics. "The first time we saw it navigate among trees and rough terrain, even under heavy collisions, we knew this was something different."

As part of their work, researchers developed a new design principle called dynamic isotropy that rates robots on a scale of 0 to 1 based on how uniformly they can accelerate in every direction. Most robots in use today, including humanoids and drones, score below 0.6. Argus scores 0.91.

"When a robot can accelerate equally well in every direction, it stops needing to face the world in any particular way," said Chen, who hopes the same principle could guide the development of search and rescue robots, underwater or aerial vehicles or robots with the ability to grip objects.

"Instead of building a robot hand that looks like a human hand ... one idea is to think about having Argus be the hand itself, and it can manipulate objects in any direction," he said. "The knowledge we can transfer to the rest of the world is much more deeper than building an existing robot or copying an existing species."