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Cybersecurity challenges and AWS solutions in the AI era

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As the technology world has grown more complicated through an explosion in artificial intelligence use cases, it has also led to challenges for cybersecurity professionals. Generative AI applications must be secured, the infrastructure around AI needs to be protected, and there is a constant worry about new threats driven by AI-powered tools.

AWS’ Rohan Karmarkar talks with theCUBEs John Furrier about cybersecurity.

For major cloud practitioners such as Amazon Web Services Inc., this reality requires close coordination with its partners to ensure that these factors are properly managed.

“We’re definitely seeing an increase in the velocity of attacks, so obviously security partners have to cater to that, AWS has to cater to that,” said Rohan Karmarkar (pictured), director of APO technology for AWS Partner SA. “These partners are making sure that they build capability to defend against AI-powered attacks and also build capability to make the security engineers and security operations center more productive, more automated. Those are the two things that we’re working with our partners on to build those capabilities using the secure foundation that we have.”

Karmarkar spoke with theCUBE’s John Furrier at the AWS Mid-Year Leadership Summit, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how partners are using AWS tools to mitigate threats and build a more secure environment.

Building cybersecurity on AWS

For partners, a key approach for managing security initiatives in the AI world is to build on the AWS platform. This includes leveraging many of the cloud provider’s intelligence tools, according to Karmarkar.

“PagerDuty, one of our key partners, uses Amazon Q Business, Amazon Bedrock and Amazon SageMaker to improve the incident response automation with AI,” Karmarkar said. “There are other partners like Trellix who has a Trellix-wide security assistant, which is built on Amazon Bedrock and SageMaker. Typically, security engineers get overwhelmed with these incidents, so bringing the right context and helping them analyze and getting them more productive is something that security partners are doing.”

Something else that security partners are doing is building agents. AWS is seeing its partners explore innovation in agentic AI to address a wide range of factors, including cost, accuracy and specialized domain management.

“There are a couple of partners like PantherAI and Securonix who have launched various agents that help in security engineering aspects, security operations,” Karmarkar said. “We are seeing a lot of agentic kinds of workflows and applications being built now. They’re starting with simple agents, but we are also seeing trends where agent-to-agent communication and multi-agent kinds of workflows are there.”

Adoption of AI agents and new ways to leverage autonomous technology for improving security have forced many AWS partners and customers to re-evaluate their applications. App modernization has become a key ingredient in building a secure IT environment.

“There’s a lot of conversation around app modernization,” Karmarkar explained. “We definitely are talking about application modernization because application and data modernization is the foundation to have a strong AI. How do we get apps to use the latest technologies, provide interfaces or databases to be vector enabled? It’s an interesting time to be in tech.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the AWS Mid-Year Leadership Summit:

Photo: SiliconANGLE

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SiliconANGLE Media is a recognized leader in digital media innovation serving innovative audiences and brands, bringing together cutting-edge technology, influential content, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios — such as those established in Silicon Valley and the New York Stock Exchange (NYSE) — SiliconANGLE Media operates at the intersection of media, technology, and AI. .

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Noninvasive brain technology allows control of robotic hands with thought

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Noninvasive brain tech is transforming how people interact with robotic devices. Instead of relying on muscle movement, this technology allows a person to control a robotic hand by simply thinking about moving his fingers. 

No surgery is required. 

Instead, a set of sensors is placed on the scalp to detect brain signals. These signals are then sent to a computer. As a result, this approach is safe and accessible. It opens new possibilities for people with motor impairments or those recovering from injuries.

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PARALYZED MAN SPEAKS AND SINGS WITH AI BRAIN-COMPUTER INTERFACE

A woman wearing non-invasive brain technology  (Carnegie Mellon University)

How noninvasive brain tech turns thought into action

Researchers at Carnegie Mellon University have made significant progress with noninvasive brain technology. They use electroencephalography (EEG) to detect the brain’s electrical activity when someone thinks about moving a finger. Artificial intelligence, specifically deep learning algorithms, then decodes these signals and translates them into commands for a robotic hand. In their study, participants managed to move two or even three robotic fingers at once, just by imagining the motion. The system achieved over 80% accuracy for two-finger tasks. For three-finger tasks, accuracy was over 60%. All of this happened in real time. 

WHAT IS ARTIFICIAL INTELLIGENCE (AI)?

Meeting the challenge of finger-level control

Achieving separate movement for each robotic finger is a real challenge. The brain areas responsible for finger movement are small. Their signals often overlap, which makes it hard to distinguish between them. However, advances in noninvasive brain technology and deep learning have made it possible to pick up on these subtle differences. 

The research team used a neural network called EEGNet. They fine-tuned it for each participant. Because of this, the system allowed for smooth, natural control of the robotic fingers. The movements closely matched how a real hand works.

brain tech 2

A robotic finger being controlled by non-invasive brain technology  (Kurt “CyberGuy” Knutsson)

Why noninvasive brain tech matters for everyday life

For people with limited hand function, even small improvements can make a huge difference. Noninvasive brain technology eliminates the need for surgery because the system is external and easy to use. In addition, this technology provides natural and intuitive control. It enables a person to move a robotic hand by simply thinking about the corresponding finger movements. 

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The accessibility of noninvasive brain technology means it can be used in clinics and homes and by a wide range of people. For example, it enables participation in everyday tasks, such as typing or picking up small objects that might otherwise be difficult or impossible to perform. This approach can benefit stroke survivors and people with spinal cord injuries. It can also help anyone interested in enhancing their abilities. 

What’s next for noninvasive brain tech?

While the progress is exciting, there are still challenges ahead. Noninvasive brain technology needs to improve even further at filtering out noise and adapting to individual differences. However, with ongoing advances in deep learning and sensor technology, these systems are becoming more reliable and easier to use. Researchers are already working to expand the technology for more complex tasks. 

As a result, assistive robotics could soon become a part of more homes and workplaces.

brain tech 3

Illustration of how the noninvasive brain technology works  (Carnegie Mellon University)

Kurt’s key takeaways

Noninvasive brain technology is opening up possibilities that once seemed out of reach. The idea of moving a robotic hand just by thinking about it could make daily life easier and more independent for many people. As researchers continue to improve these systems, it will be interesting to see how this technology shapes the way we interact with the world around us.

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Korea’s game studios rebrand as AI tech firms, with stints at fashion, robotics, media

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What was once a world of elves, dragons and power-ups is now giving rise to one of South Korea’s most unexpected tech revolutions, with game studios taking their place alongside Big Tech in the race for AI dominance.

The country’s gaming heavyweights are increasingly shedding their image as pure entertainment companies and positioning themselves as AI-first tech firms, expanding far beyond the virtual battlegrounds into sectors such as fashion, media and even robotics.

Facing a slowing gaming market and rising development costs, game developers and publishers such as NCSOFT Corp., Nexon Co. and Krafton Inc. are leveraging their proprietary AI tools and massive gameplay data troves to build new growth engines, applying gaming-derived machine intelligence to real-world industries.

“We’re no longer just competing for players’ time, but for a stake in the future of applied AI,” said an executive at a domestic game firm.

(Graphics by Daeun Lee)

FROM MMORPGs TO 3D MODELS, FASHION AI

Few illustrate this transition better than NCSOFT, which in February spun off its AI division into a standalone subsidiary, NC AI.

The unit is set to launch Varco 3D at the end of July – a software tool that can generate high-quality 3D characters using nothing more than text or image prompts.

The product will be offered via a software-as-a-service (SaaS) model and targets users far beyond traditional game development, from virtual influencers to digital fashion brands, according to company officials.

The move follows NCSOFT’s development in 2023 of Varco, Korea’s first large language model (LLM) developed by a game company.

The company now provides Varco Art Fashion, an AI-powered tool that generates apparel designs and visual prototypes. The tool has already been adopted by 10 leading fashion firms, halving new product development times, according to NCSOFT.

Throne and Liberty (Courtesy of NCSOFT)
Throne and Liberty (Courtesy of NCSOFT)

“We see an opportunity to disrupt the fashion and content production pipelines using tools originally built for game development,” said an NC AI official.

The company also provides generative engines to media firms, allowing for automatic content production and editing.

PREDICTING THE NEXT BIG HIT, OR MISS

Nexon, which owns game-developing studio Nexon Games Co., is taking a different path: using AI to forecast the commercial success of upcoming games.

At the Nexon Developers Conference (NDC25) last month, the firm unveiled its Game Success Prediction AI, designed to sift through early gameplay patterns and metadata to identify breakout potential.

Krafton is the developer of PlayerUnknown’s Battlegrounds (PUBG)
Krafton is the developer of PlayerUnknown’s Battlegrounds (PUBG)

“Sometimes, high-quality games are overlooked,” said Oh Jin-wook, head of Nexon’s Intelligence Labs Group. “AI can help uncover hidden gems, allowing us to take more creative risks.”

His argument is backed by data.

According to global gaming platform Steam, 84% of titles released on its platform last year failed to even register meaningful sales.

Nexon said AI can help de-risk game development by offering early signals from pre-launch user testing.

TAKING AI INTO THE PHYSICAL REALM

Krafton, best known for PlayerUnknown’s Battlegrounds (PUBG), is taking AI into the physical realm.

Varco is a large language model (LLM) developed by NCSOFT
Varco is a large language model (LLM) developed by NCSOFT

In April, Krafton Chief Executive Kim Changhan met with Nvidia CEO Jensen Huang to discuss collaboration on humanoid robotics, building on their previous partnership to co-develop non-player character AI.

Krafton recently launched a Physical AI team, tasked with adapting in-game character AI for robotic applications. The goal: to use virtual intelligence as the foundation for real-world robotic “brains.”

Unlike software AI such as ChatGPT, physical AI focuses on decision-making for physical tasks such as picking up or moving objects.

ESCAPING THE GAMING RUT

Analysts said at the heart of this AI pivot is a strategic response to a cooling domestic gaming market.

Rising development costs and a lack of global blockbusters have dragged down growth.

According to the Korea Creative Content Agency, the nation’s gaming user rate fell to a record low of 59.9% in 2024.

The threat isn’t just rival games – it’s YouTube, TikTok and other attention-gobbling apps.

Dungeon & Fire Mobile is a title by Nexon
Dungeon & Fire Mobile is a title by Nexon

Nexon Games CEO Park Yong-hyun named non-gaming platforms as the biggest threat to the gaming industry.

According to mobile analytics firm Mobile Index, Koreans spent over 140 minutes a day on YouTube as of March, outpacing daily game playtime by a wide margin.

Experts say Korean game developers are uniquely positioned to scale into the broader AI economy.

The industry has accumulated years of player behavior data and developed highly advanced simulation environments – ideal conditions for training AI.

“Games are structured, interactive ecosystems with clear rules and goals, perfect for developing and testing AI models,” said Wi Jong-hyun, president of the Korea Game Society and a professor at Chung-Ang University. “It’s only natural that these companies are now leading Korea’s AI transition.”

Write to Young-Chong Choi at youngchoi@hankyung.com
In-Soo Nam edited this article.



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New MGA Augmented targets smart-follow market with AI-powered underwriting

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“The London Market is not broken,” Prince explained. “t needs a steady hand to implement new technologies, such as AI, to enhance the way insurance operates. Efficiency and accuracy can replace manual process and human error. Brokers and carriers will, as a consequence, have a much smoother experience when doing business in the London insurance market.”



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