#AI in cloud security

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AI in Cybersecurity – How AI is Transforming IT Security in 2025

Introduction

Cybersecurity threats are evolving at an unprecedented rate, putting businesses and individuals at risk of data breaches, ransomware attacks, and phishing scams. In response, Artificial Intelligence (AI) is revolutionizing IT security by providing advanced threat detection, real-time monitoring, and automated response mechanisms. AI-powered cybersecurity is no longer a futuristic concept—it’s a necessity in today’s digital landscape.

How AI is Transforming Cybersecurity

1. AI for Threat Detection and Prevention

Traditional security systems rely on rule-based algorithms, which often fail against sophisticated cyberattacks. AI-powered cybersecurity solutions use machine learning (ML) to analyze patterns and detect anomalies, identifying threats before they cause damage.

AI detects phishing attempts by analyzing email content and sender behavior.

Machine learning models predict cyberattacks based on historical data.

AI-driven endpoint security ensures real-time protection for devices.

2. Automated Incident Response

AI accelerates threat mitigation by automatically responding to cyber incidents. Instead of waiting for manual intervention, AI-driven security systems isolate infected devices, block malicious IP addresses, and neutralize threats in real-time.

AI-powered firewalls and intrusion detection systems (IDS) improve network security.

Automated security operations centers (SOCs) enhance rapid threat resolution.

3. Behavioral Analytics for Cybersecurity

AI analyzes user behavior to detect unusual activities. If an employee's login pattern suddenly changes or unauthorized data access occurs, AI flags it as a potential threat.

AI-driven identity and access management (IAM) prevents unauthorized logins.

Behavioral biometrics enhance authentication security.

4. AI in Cloud Security

As cloud computing adoption grows, cyber threats targeting cloud environments also rise. AI enhances cloud security by:

Identifying misconfigurations that could expose data.

Monitoring cloud access patterns for suspicious activities.

Detecting malware in cloud storage services.

Challenges of AI in Cybersecurity

Despite its advantages, AI-powered cybersecurity faces challenges, including:

False Positives & Negatives: AI must continuously learn to minimize detection errors.

High Implementation Costs: AI-driven security solutions require significant investment.

Data Privacy Concerns: AI models rely on vast amounts of data, raising privacy issues.

Future Trends of AI in Cybersecurity

The future of AI in cybersecurity is promising, with advancements shaping IT security strategies. Some key trends include:

AI-Powered Zero Trust Security Models: Verifying every request before granting access.

Deep Learning for Threat Hunting: Identifying complex cyberattack patterns.

Quantum Computing’s Role in AI Cybersecurity: Strengthening encryption algorithms.

AI-Augmented Penetration Testing: AI-driven ethical hacking to identify vulnerabilities.

Conclusion

AI is transforming cybersecurity by making IT security smarter, faster, and more proactive. As cyber threats become more sophisticated, businesses must integrate AI-driven security measures to protect sensitive data and digital assets. Investing in AI-powered cybersecurity today ensures a safer digital future for organizations worldwide.

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Tencent Hunyuan3D-PolyGen: A model for 'art-grade' 3D assets

New Post has been published on https://thedigitalinsider.com/tencent-hunyuan3d-polygen-a-model-for-art-grade-3d-assets/

Tencent Hunyuan3D-PolyGen: A model for 'art-grade' 3D assets

Tencent has released a model that could be quite literally game-changing for how developers create 3D assets.

The new Hunyuan3D-PolyGen model is Tencent’s first attempt at delivering what they’re calling “art-grade” 3D generation, specifically built for the professionals who craft the digital worlds we play in.

Creating high-quality 3D assets has always been a bottleneck for game developers, with artists spending countless hours perfecting wireframes and wrestling with complex geometry. Tencent reckons they’ve found a way to tackle these headaches head-on, potentially transforming how studios approach asset creation entirely.

Levelling up generating 3D assets

The secret sauce behind Hunyuan3D-PolyGen lies in what Tencent calls BPT technology. In layman’s terms, it means they’ve figured out how to compress massive amounts of 3D data without losing the detail that matters. In practice, that means it’s possible to generate 3D assets with tens of thousands of polygons that actually look professional enough to ship in a commercial game.

🚀Introducing Hunyuan3D-PolyGen, our newly upgraded and industry-first art-grade 3D generative model. It brings effortless intelligent retopology, making AI-generated models ready for professional art pipelines.

✅ Superior Mesh Topology: Our self-developed mesh autoregressive… pic.twitter.com/Lwy0dfGZkx

— Hunyuan (@TencentHunyuan) July 7, 2025

What’s particularly clever is how the system handles both triangular and quadrilateral faces. If you’ve ever tried to move 3D assets between different software packages, you’ll know why this matters. Different engines and tools have their preferences, and compatibility issues have historically been a nightmare for studios trying to streamline their workflows.

According to technical documentation, the system utilises an autoregressive mesh generation framework that performs spatial inference through explicit and discrete vertex and patch modelling. This approach ensures the production of high-quality 3D models that meet stringent artistic specifications demanded by commercial game development.

Hunyuan3D-PolyGen works through what’s essentially a three-step dance. First, it takes existing 3D meshes and converts them into a language the AI can understand.

Using point cloud data as a starting point, the system then generates new mesh instructions using techniques borrowed from natural language processing. It’s like teaching the AI to speak in 3D geometry, predicting what should come next based on what it’s already created.

Finally, the system translates these instructions back into actual 3D meshes, complete with all the vertices and faces that make up the final model. The whole process maintains geometric integrity while producing results that would make any technical artist nod in approval.

Tencent isn’t just talking about theoretical improvements that fall apart when tested in real studios; they’ve put this technology to work in their own game development studios. The results? Artists claim to report efficiency gains of over 70 percent.

The system has been baked into Tencent’s Hunyuan 3D AI creation engine and is already running across multiple game development pipelines. This means it’s being used to create actual 3D game assets that players will eventually interact with.

Teaching AI to think like an artist

One of the most impressive aspects of Hunyuan3D-PolyGen is how Tencent has approached quality control. They’ve developed a reinforcement learning system that essentially teaches the AI to recognise good work from bad work, much like how a mentor might guide a junior artist.

The system learns from feedback, gradually improving its ability to generate 3D assets that meet professional standards. This means fewer duds and more usable results straight out of the box. For studios already stretched thin on resources, this kind of reliability could be transformative.

The gaming industry has been grappling with a fundamental problem for years. While AI has made impressive strides in generating 3D models, most of the output has been, quite frankly, not good enough for commercial use. The gap between “looks impressive in a demo” and “ready for a AAA game” has been enormous.

Tencent’s approach with Hunyuan3D-PolyGen feels different because it’s clearly been designed by people who understand what actual game development looks like. Instead of chasing flashy demonstrations, they’ve focused on solving real workflow problems that have been frustrating developers for decades.

As development costs continue to spiral and timelines get ever more compressed, tools that can accelerate asset creation without compromising quality become incredibly valuable.

The release of Hunyuan3D-PolyGen hints at a future where the relationship between human creativity and AI assistance becomes far more nuanced. Rather than replacing artists, this technology appears designed to handle the grunt work of creating 3D assets, freeing up talented creators to focus on the conceptual and creative challenges that humans excel at.

This represents a mature approach to AI integration in creative industries. Instead of the usual “AI will replace everyone” narrative, we’re seeing tools that augment human capabilities rather than attempt to replicate them entirely. The 70 percent efficiency improvement reported by Tencent’s teams suggests this philosophy is working in practice.

The broader implications are fascinating to consider. As these systems become more sophisticated and reliable, we might see a fundamental shift in how game development studios are structured and how projects are scoped. The technology could democratise high-quality asset creation, potentially allowing smaller studios to compete with larger operations that traditionally had resource advantages.

The success of Hunyuan3D-PolyGen could well encourage other major players to accelerate their own AI-assisted creative tools beyond generating 3D assets, potentially leading to a new wave of productivity improvements across the industry. For game developers who’ve been watching AI developments with a mixture of excitement and scepticism, this might be the moment when the technology finally delivers on its promises.

See also: UK and Singapore form alliance to guide AI in finance

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

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Deception Technology: The Cybersecurity Paradigm We Didn’t Know We Needed

In an age of ever-evolving cyber threats, traditional security measures are no longer sufficient to protect critical digital assets. To stay ahead of sophisticated attackers, organizations are turning to more innovative and proactive solutions. One such approach gaining momentum globally is Deception Technology — a cybersecurity strategy that shifts the paradigm from reactive defenses to…

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As a reputed BBA College in Ranchi and BCA College in Ranchi, we also provide undergraduate programs that focus on developing managerial, analytical, and IT skills. Our curriculum is aligned with the latest industry trends, ensuring students gain hands-on experience with modern technologies.

For those seeking a career in engineering, BITT is one of the best Engineering Polytechnic Colleges in Ranchi and Engineering Colleges in Ranchi. Our advanced labs, experienced faculty, and strong industry tie-ups offer students a competitive edge.

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Top 5 Cloud Computing Skills for 2025 (Salaries Included)

In this video, he share the top 5 Cloud Computing Skills for 2025, and he included all the salaries for these skills as well as the Cloud Computing Jobs you can apply for.

[ogxfuturetech]

The Comprehensive Guide to Web Development, Data Management, and More 

Introduction 

Everything today is technology driven in this digital world. There's a lot happening behind the scenes when you use your favorite apps, go to websites, and do other things with all of those zeroes and ones — or binary data. In this blog, I will be explaining what all these terminologies really means and other basics of web development, data management etc. We will be discussing them in the simplest way so that this becomes easy to understand for beginners or people who are even remotely interested about technology.  JOIN US

What is Web Development? 

Web development refers to the work and process of developing a website or web application that can run in a web browser. From laying out individual web page designs before we ever start coding, to how the layout will be implemented through HTML/CSS. There are two major fields of web development — front-end and back-end. 

Front-End Development 

Front-end development, also known as client-side development, is the part of web development that deals with what users see and interact with on their screens. It involves using languages like HTML, CSS, and JavaScript to create the visual elements of a website, such as buttons, forms, and images. JOIN US

HTML (HyperText Markup Language): 

HTML is the foundation of all website, it helps one to organize their content on web platform. It provides the default style to basic elements such as headings, paragraphs and links. 

CSS (Cascading Style Sheets):  

styles and formats HTML elements. It makes an attractive and user-friendly look of webpage as it controls the colors, fonts, layout. 

JavaScript :  

A language for adding interactivity to a website Users interact with items, like clicking a button to send in a form or viewing images within the slideshow. JOIN US

Back-End Development 

The difference while front-end development is all about what the user sees, back end involves everything that happens behind. The back-end consists of a server, database and application logic that runs on the web. 

Server: 

A server is a computer that holds website files and provides them to the user browser when they request it. Server-Side: These are populated by back-end developers who build and maintain servers using languages like Python, PHP or Ruby. 

Database:  

The place where a website keeps its data, from user details to content and settings The database is maintained with services like MySQL, PostgreSQL, or MongoDB. JOIN US

Application Logic —  

the code that links front-end and back-end It takes user input, gets data from the database and returns right informations to front-end area. 

Why Proper Data Management is Absolutely Critical 

Data management — Besides web development this is the most important a part of our Digital World. What Is Data Management? It includes practices, policies and procedures that are used to collect store secure data in controlled way. 

Data Storage –  

data after being collected needs to be stored securely such data can be stored in relational databases or cloud storage solutions. The most important aspect here is that the data should never be accessed by an unauthorized source or breached. JOIN US

Data processing:  

Right from storing the data, with Big Data you further move on to process it in order to make sense out of hordes of raw information. This includes cleansing the data (removing errors or redundancies), finding patterns among it, and producing ideas that could be useful for decision-making. 

Data Security:  

Another important part of data management is the security of it. It refers to defending data against unauthorized access, breaches or other potential vulnerabilities. You can do this with some basic security methods, mostly encryption and access controls as well as regular auditing of your systems. 

Other Critical Tech Landmarks 

There are a lot of disciplines in the tech world that go beyond web development and data management. Here are a few of them: 

Cloud Computing 

Leading by example, AWS had established cloud computing as the on-demand delivery of IT resources and applications via web services/Internet over a decade considering all layers to make it easy from servers up to top most layer. This will enable organizations to consume technology resources in the form of pay-as-you-go model without having to purchase, own and feed that infrastructure. JOIN US

Cloud Computing Advantages:  

Main advantages are cost savings, scalability, flexibility and disaster recovery. Resources can be scaled based on usage, which means companies only pay for what they are using and have the data backed up in case of an emergency. 

Examples of Cloud Services: 

Few popular cloud services are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. These provide a plethora of services that helps to Develop and Manage App, Store Data etc. 

Cybersecurity 

As the world continues to rely more heavily on digital technologies, cybersecurity has never been a bigger issue. Protecting computer systems, networks and data from cyber attacks is called Cyber security. 

Phishing attacks, Malware, Ransomware and Data breaches: 

This is common cybersecurity threats. These threats can bear substantial ramifications, from financial damages to reputation harm for any corporation. 

Cybersecurity Best Practices:  

In order to safeguard against cybersecurity threats, it is necessary to follow best-practices including using strong passwords and two-factor authorization, updating software as required, training employees on security risks. 

Artificial Intelligence and Machine Learning 

Artificial Intelligence (AI) and Machine Learning (ML) represent the fastest-growing fields of creating systems that learn from data, identifying patterns in them. These are applied to several use-cases like self driving cars, personalization in Netflix. 

AI vs ML —  

AI is the broader concept of machines being able to carry out tasks in a way we would consider “smart”. Machine learning is a type of Artificial Intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. JOIN US

Applications of Artificial Intelligence and Machine Learning: some common applications include Image recognition, Speech to text, Natural language processing, Predictive analytics Robotics. 

Web Development meets Data Management etc. 

We need so many things like web development, data management and cloud computing plus cybersecurity etc.. but some of them are most important aspects i.e. AI/ML yet more fascinating is where these fields converge or play off each other. 

Web Development and Data Management 

Web Development and Data Management goes hand in hand. The large number of websites and web-based applications in the world generate enormous amounts of data — from user interactions, to transaction records. Being able to manage this data is key in providing a fantastic user experience and enabling you to make decisions based on the right kind of information. 

E.g. E-commerce Website, products data need to be saved on server also customers data should save in a database loosely coupled with orders and payments. This data is necessary for customization of the shopping experience as well as inventory management and fraud prevention. 

Cloud Computing and Web Development 

The development of the web has been revolutionized by cloud computing which gives developers a way to allocate, deploy and scale applications more or less without service friction. Developers now can host applications and data in cloud services instead of investing for physical servers. 

E.g. A start-up company can use cloud services to roll out the web application globally in order for all users worldwide could browse it without waiting due unavailability of geolocation prohibited access. 

The Future of Cybersecurity and Data Management 

Which makes Cybersecurity a very important part of the Data management. The more data collected and stored by an organization, the greater a target it becomes for cyber threats. It is important to secure this data using robust cybersecurity measures, so that sensitive information remains intact and customer trust does not weaken. JOIN US

Ex: A healthcare provider would have to protect patient data in order to be compliant with regulations such as HIPAA (Health Insurance Portability and Accountability Act) that is also responsible for ensuring a degree of confidentiality between a provider and their patients. 

Conclusion 

Well, in a nutshell web-developer or Data manager etc are some of the integral parts for digital world.

As a Business Owner, Tech Enthusiast or even if you are just planning to make your Career in tech — it is important that you understand these. With the progress of technology never slowing down, these intersections are perhaps only going to come together more strongly and develop into cornerstones that define how we live in a digital world tomorrow. 

With the fundamental knowledge of web development, data management, automation and ML you will manage to catch up with digital movements. Whether you have a site to build, ideas data to manage or simply interested in what’s hot these days, skills and knowledge around the above will stand good for changing tech world. JOIN US

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In this article, we’ll explore what GDPR is, why it’s essential for businesses to comply, and how AI can help with data privacy protection and GDPR compliance. Learn More...

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Navigating Cyber Threats: The Evolution of Endpoint Protection Platforms (EPP)

[worshiptheglitch]

But I’m sure they’re being totally responsible with AI.