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Securing vibe coding: balancing speed with cybersecurity

Vibe coding has emerged as a cultural phenomenon in 2025 software development. It’s a style defined by coding on instinct and moving fast, often with the help of AI, rather than following rigid plans. It lets developers skip exhaustive design phases and dive straight into building, writing code (or prompting an AI to write it) in a rapid, conversational loop. It has caught on fast and boasts a dedicated following of developers hosting vibe coding game jams.So why all the buzz? For one, vibe coding delivers speed and spontaneity. Enthusiasts say it frees them to prototype at the speed of thought, without overthinking architecture. A working feature can be blinked into existence after a few AI-assisted prompts, which is intoxicating for startups chasing product-market fit. But as with any trend that favors speed over process, there’s a flip side.This article explores the benefits of vibe coding and the cybersecurity risks it introduces, examines real incidents where "just ship it" coding backfired, and outlines how security leaders can keep up without slowing innovation.The upside: innovation at breakneck speedVibe coding addresses real development needs and has major benefits:Allows lightning-fast prototyping with AI assistance. Speed is a major advantage, especially for startups, and allows faster validation of ideas and product-market fit.Prioritizes creativity over perfection, rewarding flow and iteration over perfection.Lowers barriers to entry for non-experts. AI tooling lowers the skill floor, letting more people code.Produces real success stories, like a game built via vibe coding hitting $1M ARR in 17 days.Vibe coding aligns well with lean, agile, and continuous delivery environments by removing overhead and empowering rapid iteration.When speed bites backVibe coding isn’t inherently insecure, but the culture of speed it promotes can lead to critical oversights, especially when paired with AI tooling and lax process discipline. The following real-world incidents aren’t all examples of vibe coding per se, but they illustrate the kinds of risks that arise when developers prioritize velocity over security, skip reviews, or lean too heavily on AI without safeguards. These three cases show how fast-moving or under-documented development practices can open serious vulnerabilities.xAI API key leak (2025)A developer at Elon Musk’s AI company, xAI, accidentally committed internal API keys to a public GitHub repo. These keys provided access to proprietary LLMs trained on Tesla and SpaceX data. The leak went undetected for two months, exposing critical intellectual property until a researcher reported it. The error likely stemmed from fast-moving development where secrets were hardcoded for convenience.Malicious NPM packages (2024)In January 2024, attackers uploaded npm packages like warbeast2000 and kodiak2k, which exfiltrated SSH keys from developer machines. These were downloaded over 1,600 times before detection. Developers, trusting AI suggestions or searching hastily for functionality, unknowingly included these malicious libraries.OpenAI API key abuse via Replit (2024)Hackers scraped thousands of OpenAI API keys from public Replit projects, which developers had left in plaintext. These keys were abused to access GPT-4 for free, racking up massive bills for unsuspecting users. This incident shows how projects with weak secret hygiene, which is a risk of vibe coding, become easy targets.Securing the vibe: smart risk mitigationCybersecurity teams can enable innovation without compromising safety by following a few simple cybersecurity best practices. While these don’t offer 100% security, they do mitigate many of the major vulnerabilities of vibe coding.Integrate scanning tools: Use SAST, SCA, and secret scanners in CI/CD. Supplement with AI-based code analyzers to assess LLM-generated code.Shift security left: Embed secure-by-default templates and dev-friendly checklists. Make secure SDKs and CLI wrappers easily available.Use guardrails, not gates: Enable runtime protections like WAF, bot filtering, DDoS defense, and rate limiting. Leverage progressive delivery to limit blast radius.Educate, don’t block: Provide lightweight, modular security learning paths for developers. Encourage experimentation in secure sandboxes with audit trails.Consult security experts: Consider outsourcing your cybersecurity to an expert like Gcore to keep your app or AI safe.Secure innovation sustainably with GcoreVibe coding is here to stay, and for good reason. It unlocks creativity and accelerates delivery. But it also invites mistakes that attackers can exploit. Rather than fight the vibe, cybersecurity leaders must adapt: automating protections, partnering with devs, and building a culture where shipping fast doesn't mean shipping insecure.Want to secure your edge-built AI or fast-moving app infrastructure? Gcore’s Edge Security platform offers robust, low-latency protection with next-gen WAAP and DDoS mitigation to help you innovate confidently, even at speed. As AI and security experts, we understand the risks and rewards of vibe coding, and we’re ideally positioned to help you secure your workloads without slowing down development.Into vibe coding? Talk to us about how to keep it secure.

May 21, 2025 3 min read

Qwen3 models available now on Gcore Everywhere Inference

We’ve expanded our model library for Gcore Everywhere Inference with three powerful additions from the Qwen3 series. These new models bring advanced reasoning, faster response times, and even better multilingual support, helping you power everything from chatbots and coding tools to complex R&D workloads.With Gcore Everywhere Inference, you can deploy Qwen3 models in just three clicks. Read on to discover what makes Qwen3 special, which Qwen3 model best suits your needs, and how to deploy it with Gcore today.Introducing the new Qwen3 modelsQwen3 is the latest evolution of the Qwen series, featuring both dense and Mixture-of-Experts (MoE) architectures. It introduces dual-mode reasoning, letting you toggle between “thinking” and “non-thinking” modes to balance depth and speed:Thinking mode (enable_thinking=True): The model adds a <think>…</think> block to reason step-by-step before generating the final response. Ideal for tasks like code generation or math where accuracy and logic matter.Non-thinking mode (enable_thinking=False): Skips the reasoning phase to respond faster. Best for straightforward tasks where speed is a priority.Model sizes and use casesWith three new sizes available, you can choose the level of performance required for your use case:Qwen3-14B: A 14B parameter model tuned for responsive, multilingual chat and instruction-following. Fast, versatile, and ready for real-time applications with lightning-fast responses.Qwen3-30B-A3B: Built on the Arch-3 backbone, this 30B model offers advanced reasoning and coding capabilities. It’s ideal for applications that demand deeper understanding and precision while balancing performance. It provides high-quality output with faster inference and better efficiency.Qwen3-32B: The largest Qwen3 model yet, designed for complex, high-performance tasks across reasoning, generation, and multilingual domains. It sets a new standard for what’s achievable with Gcore Everywhere Inference, delivering exceptional results with maximum reasoning power. Ideal for complex computation and generation tasks where every detail matters.ModelArchitectureTotal parametersActive parametersContext lengthBest suited forQwen3-14BDense14B14B128KMultilingual chatbots, instruction-following tasks, and applications requiring strong reasoning capabilities with moderate resource consumption.Qwen3-30B-A3BMoE30B3B128KScenarios requiring advanced reasoning and coding capabilities with efficient resource usage; suitable for real-time applications due to faster inference times.Qwen3-32BDense32B32B128KHigh-performance tasks demanding maximum reasoning power and accuracy; ideal for complex R&D workloads and precision-critical applications.How to deploy Qwen3 models with Gcore in just a few clicksGetting started with Qwen3 on Gcore Everywhere Inference is fast and frictionless. Simply log in to the Gcore Portal, navigate to the AI Inference section, and select your desired Qwen3 model. From there, deployment takes just three clicks—no setup scripts, no GPU wrangling, no DevOps overhead. Check out our docs to discover how it works.Deploying Qwen3 via the Gcore Customer Portal takes just three clicksPrefer to deploy programmatically? Use the Gcore API with your project credentials. We offer quick-start examples in Python and cURL to get you up and running fast.Why choose Qwen3 + Gcore?Flexible performance: Choose from three models tailored to different workloads and cost-performance needs.Immediate availability: All models are live now and deployable via portal or API.Next-gen architecture: Dense and MoE options give you more control over reasoning, speed, and output quality.Scalable by design: Built for production-grade performance across industries and use cases.With the latest Qwen3 additions, Gcore Everywhere Inference continues to deliver on performance, scalability, and choice. Ready to get started? Get a free account today to explore Qwen3 and deploy with Gcore in just a few clicks.Sign up free to deploy Qwen3 today

May 15, 2025 2 min read

Run AI workloads faster with our new cloud region in Southern Europe

Good news for businesses operating in Southern Europe! Our newest cloud region in Sines, Portugal, gives you faster, more local access to the infrastructure you need to run advanced AI, ML, and HPC workloads across the Iberian Peninsula and wider region. Sines-2 marks the first region launched in partnership with Northern Data Group, signaling a new chapter in delivering powerful, workload-optimized infrastructure across Europe.Strategically positioned in Portugal, Sines-2 enhances coverage in Southern Europe, providing a lower-latency option for customers operating in or targeting this region. With the explosive growth of AI, machine learning, and compute-intensive workloads, this new region is designed to meet escalating demand with cutting-edge GPU and storage capabilities.Built for AI, designed to scaleSines-2 brings with it next-generation infrastructure features, purpose-built for today’s most demanding workloads:NVIDIA H100 GPUs: Unlock the full potential of AI/ML training, high-performance computing (HPC), and rendering workloads with access to H100 GPUs.VAST NFS (file sharing protocol) support: Benefit from scalable, high-throughput file storage ideal for data-intensive operations, research, and real-time AI workflows.IaaS portfolio: Deploy Virtual Machines, manage storage, and scale infrastructure with the same consistency and reliability as in our flagship regions.Organizations operating in Portugal, Spain, and nearby regions can now deploy workloads closer to end users, improving application performance. For finance, healthcare, public sector, and other organisations running sensitive workloads that must stay within a country or region, Sines-2 is an easy way to access state-of-the-art GPUs with simplified compliance. Whether you're building AI models, running simulations, or managing rendering pipelines, Sines-2 offers the performance and proximity you need.And best of all, servers are available and ready to deploy today.Run your AI workloads in Portugal todayWith Sines-2 and our partnership with Northern Data Group, we’re making it easier than ever for you to run AI workloads at scale. If you need speed, flexibility, and global reach, we’re ready to power your next AI breakthrough.Unlock the power of Sines-2 today

May 12, 2025 2 min read

Edge Cloud news: more regions and volume options available

At Gcore, we’re committed to delivering high-performance, globally distributed infrastructure that adapts to your workloads—wherever they run. This month, we’re excited to share major updates to our Edge Cloud platform: two new cloud IaaS regions in Europe and expanded storage options in São Paulo.New IaaS regions in Luxembourg and Portugal available nowLuxembourg‑3 and Sines‑2 mark the next step in the Gcore mission to bring compute closer to users. From compliance-focused deployments in Central Europe to GPU‑powered workloads in the Iberian Peninsula, these new regions are built to support diverse infrastructure needs at scale.Luxembourg‑3: expanding connectivity in Central EuropeWe’re expanding our European footprint by opening an additional IaaS point of presence (PoP) in Luxembourg. Strategically located in the heart of Europe, this region offers low-latency connectivity across the EU and is a strong compliance choice for data residency requirements.Here’s what’s available in Luxembourg‑3:Virtual Machines: High-performance, reliable, and scalable compute power for a wide range of workloads - with free egress traffic and pay-as-you-go billing for active instances only.Volumes: Standard, High IOPS, and Low Latency block storage for any workload profile.Load Balancers: Distribute traffic intelligently across instances to boost availability, performance, and fault tolerance.Managed Kubernetes: Fully managed Kubernetes clusters with automated provisioning, scaling, and updates optimized for production-ready deployments.Sines‑2, Portugal: a new hub for Southern Europe and a boost for AI workloadsWe’re also opening a brand-new location: Sines‑2, Portugal. This location enhances coverage across Southern Europe and boosts our AI and compute capabilities with more GPU availability.In addition to offering the same IaaS services as Luxembourg‑3, Sines‑2 also includes:H100 NVIDIA GPUs for AI/ML, high-performance computing, and rendering workloads.New VAST NFS Fileshare support for scalable, high-throughput file storage.This new region is ideal for organizations looking to deploy close to the Iberian Peninsula, reducing latency for regional users while gaining access to powerful GPU resources.Enhanced volume types in São PauloVolumes are the backbone of any cloud workload. They store the OS, applications, and essential data for your virtual machines. Developers and businesses building latency-sensitive or I/O-intensive applications now have more options in the São Paulo-2 region, thanks to two newly added volume types optimized for speed and responsiveness:Low-latency volumesDesigned for applications where every millisecond matters, Low Latency Volumes are non-redundant block storage ideal for:ETCD clustersTransactional databasesOther real-time, latency-critical workloadsBy minimizing overhead and focusing on speed, this volume type delivers faster response times for performance-sensitive use cases. This block storage offers IOPS up to 5000 and an average latency of 300 microseconds.High-IOPS volumesFor applications that demand both speed and resilience, High IOPS Volumes offer a faster alternative to our Standard Volumes:Higher IOPS and increased throughputSuitable for high-traffic web apps, analytics engines, and demanding databasesThis volume type accelerates data-heavy workloads and keeps performance consistent under peak demand by delivering significantly higher throughput and IOPS. The block storage offers IOPS up to 9,000 and a 500 MB/s bandwidth limit.Ready to deploy with Gcore?These new additions help to fine-tune your performance strategy, whether you're optimizing for throughput, latency, or both.From scaling in LATAM to expanding into the EU or pushing performance at the edge, Gcore continues to evolve with your needs. Explore our new capabilities in Luxembourg‑3, Sines‑2, and São Paulo‑2.Discover more about Gcore Cloud Edge Services

May 7, 2025 2 min read

How AI is improving L7 DDoS protection solutions

How AI is improving L7 DDoS protection solutionsDDoS attacks have always been a concern for organizations, but with the recent rise of AI and machine learning, the threat has grown. Layer 7 attacks are particularly damaging, as they focus on the application layer that users utilize to interact with your system. Unlike traditional DDoS attacks, which aim to overwhelm the servers with sheer traffic, these advanced threats imitate real user behavior, making it incredibly difficult for defenses to identify and block malicious traffic.While this challenge is complex, it is far from insurmountable. In this situation, the mantra "fight fire with fire" really applies. By using machine learning and AI against AI-based attacks, organizations can then retaliate with equally advanced Layer 7 protection. These newer technologies can offer something beyond what more traditional techniques could hope to achieve, including significantly faster response times, smarter threat detection, and precision. Here’s how AI and ML are redefining how businesses stay online and secure.Why L7 DDoS attacks are dangerous and hard to stopL7 DDoS attacks are sneaky. Unlike network-based attacks that flood your bandwidth, these attacks go after your application logic. Picture thousands of fake users trying to log in, search for products, or complete transactions all at once. Your systems become overwhelmed, not because they’re receiving a massive amount of data, but because they’re handling what looks like genuine traffic.The big challenge is filtering out the bad traffic while letting legitimate users through. After all, if you accidentally block real customers, you’re essentially doing the attackers’ job for them.Manual defenses used in the past, such as rate limiting with static thresholds, can result in a lose-lose situation. When the threshold is set too high, attackers can enter, often in place of traditional users. If the threshold is set too low, legitimate users are left unable to access the application. This acts as a collective punishment, blocking users out of fear of a few malicious actors rather than an accurate solution that can identify the malicious activity and block it without compromising users’ experience. Traditional defenses, based on static rules or human intervention, simply cannot scale at the speed and intricacy of a modern attack. They’re reactive when they need to be proactive.Filtering traffic without blocking customersAI and ML avoid the pitfalls of traditional security systems by continuously analyzing traffic and identifying anomalies dynamically. One of the biggest pain points in DDoS defense is false positives, which block legitimate users because their behavior looks suspicious.Traditional solutions relying on static rules simply block any IPs displaying suspicious behavior, while AI and ML track the activity of IPs over time, building a detailed profile of legitimate traffic. Sometimes referred to as IP profiling, this process groups together the IP addresses that interact predictably and legitimately with your systems. By analyzing both current and historical data, these systems can differentiate suspicious IPs from legitimate users. In the event of an attack, “safe” IPs are automatically allowed through, while suspicious ones are challenged or blocked.These AI systems learn over time from previous attacks they’ve encountered, adapting for greater accuracy without any manual updating or intervention to counter-changing tactics. This allows the systems to correlate current traffic with historical profiles and continuously reassess the safety of certain profiles. This ensures that legitimate accounts can continue to access services unimpeded while malicious traffic is contained.Traditional systems cannot achieve this level of precision, and instead tend to shut down applications during attacks, essentially allowing the attackers to win. With advanced AI and ML based defenses, businesses can maintain their service undisturbed for real users, even during an attack.Fighting AI attacks with AI defensesDDoS attacks are becoming increasingly adaptive, using AI to mimic real users, leaving the static rules in traditional solutions unable to identify the subtle signs of attack traffic. Attackers constantly change their methods to avoid fixed security rules. Manually updating defenses each time a new attack method pops up is time-consuming and inefficient.AI-powered solutions overcome this limitation by using the same strategy as attackers, continuously learning from data input to adapt to increasingly convincing DDoS traffic in real time. This can stop even zero-day and self-evolving AI cyberattacks.Staying Ahead of Attackers With Smarter DefensesOur AI-driven WAAP solution delivers intelligent, interconnected protection, enabling businesses to stay ahead of even the most advanced and evolving threats, including L7 DDoS attacks. By leveraging deep traffic analysis, heuristic tagging, and adaptive learning, it provides a proactive defense strategy. With cross-domain capabilities and actionable security insights, Gcore WAAP is an essential asset for security architects and key decision-makers, seamlessly blending innovation with practicality to meet the demands of today’s digital landscape.Interested in exploring WAAP further? Download our ebook to discover cybersecurity best practices, the most prevalent threats, and how WAAP can protect your business’s digital infrastructure. Or, reach out to our team to learn more about Gcore WAAP.Discover why WAAP is a must-have for modern businesses—get your free ebook

May 5, 2025 3 min read

How AI is transforming gaming experiences

AI is reshaping how games are played, built, and experienced. Although we are in a period of flux where the optimal combination of human and artificial intelligence is still being ironed out, the potential for AI to greatly enhance both gameplay and development is clear.PlayStation CEO Hermen Hulst recently emphasized the importance of striking the right balance between the handcrafted human touch and the revolutionary advances that AI brings. AI will not replace the decades of design, storytelling, and craft laid down by humans—it will build on that foundation to unlock entirely new possibilities. In addition to an enhanced playing experience, AI is shaking up gaming aspects such as real-time analytics, player interactions, content generation, and security.In this article, we explore three specific developments that are enriching gaming storyworlds, as well as the technology that’s bringing them to life and what the future might hold.#1 Responsive NPC behavior and smarter opponentsAI is evolving to create more realistic, adaptive, and intelligent non-player characters (NPCs) that can react to individual player choices with greater depth and reasoning. The algorithms allow NPCs to respond dynamically to players’ decisions so they can adjust their strategies and behaviors in real time. This provides a more immersive and dynamic gameplay environment and means gamers have endless opportunities to experience new gaming adventures and write their own story every time.A recent example is Red Dead Redemption 2, which enables players to interact with NPCs in the Wild West. Players were impressed by its complexity and the ability to interact with fellow cowboys and bar patrons. Although this is limited for now, eventually, it could become like a video game version of the TV series Westworld, in which visitors pay to interact with incredibly lifelike robots in a Wild West theme park.AI also gives in-game opponents more “agency,” making them more reactive and challenging for players to defeat. This means smarter, more unpredictable enemies who provide a heightened level of achievement, novelty, and excitement for players.For example, AI Limit, released in early 2025, is an action RPG incorporating AI-driven combat mechanics. While drawing comparisons to Soulslike games, the developers emphasize its unique features, including the Sync Rate system, which adds depth to combat interactions.#2 AI-assisted matchmaking and player behavior predictionsAI-powered analytics can identify and predict player skill levels and playing styles, leading to more balanced and competitive matchmaking. A notable example is the implementation of advanced matchmaking systems in competitive games such as Apex Legends and Call of Duty: Modern Warfare III. These titles use AI algorithms to analyze not just skill levels but also playstyle preferences, weapon selections, and playing patterns to create matches optimized for player retention and satisfaction. The systems continuously learn from match outcomes to predict player behavior and create more balanced team compositions across different skill levels.By analyzing a player’s past performance, AI can also create smarter team formations. This makes for fairer and more rewarding multiplayer games, as players are matched with others who complement their skill and strategy.AI can monitor in-game interactions to detect and mitigate toxic behavior. This helps encourage positive social dynamics and foster a more collaborative and friendly online environment.#3 Personalized gaming experiencesMultiplayer games can use AI to analyze player behavior in real time, adjusting difficulty levels and suggesting tailored missions, providing rich experiences unique to each player. This creates personalized, player-centric gameplay that evolves dynamically and can change over time as a player’s knowledge and ability improve.Games like Minecraft and Skyrim already use AI to adjust difficulty and offer dynamic content, while Oasis represents a breakthrough as an AI-generated Minecraft-inspired world. The game uses generative AI to predict and render gameplay frames in real time, creating a uniquely responsive environment.Beyond world generation, modern games are also incorporating AI chatbots that give players real-time coaching and personalized skill development tips.How will AI continue to shape gaming?In the future, AI will continue to impact not just the player experience but also the creation of games. We anticipate AI revolutionizing game development in the following areas:Procedural content generation: AI will create vast, dynamic worlds or generate storylines, allowing for more expansive and diverse game worlds than are currently available.Game testing: AI will simulate millions of player interactions to help developers find bugs and improve gameplay.Art and sound design: AI tools will be used to a greater extent than at present to create game art, music, and voiceovers.How Gcore technology is powering AI gaming innovationIn terms of the technology behind the scenes, Gcore Everywhere Inference brings AI models closer to players by deploying them at the edge, significantly reducing latency for training and inference. This powers dynamic features like adaptive NPC behavior, personalized gameplay, and predictive matchmaking without sacrificing performance.Gcore technology differentiates itself with the following features:Supports all major frameworks, including PyTorch, TensorFlow, ONNX, and Hugging Face Transformers, making deploying your preferred model architecture easy.Offers multiple deployment modes, whether in the cloud, on-premise, or across our distributed edge network with 180+ global locations, allowing you to place inference wherever it delivers the best performance for your users.Delivers sub-50ms latency for inference workloads in most regions, even during peak gaming hours, thanks to our ultra-low-latency CDN and proximity to players.Scales horizontally, so studios can support millions of concurrent inferences for dynamic NPC behavior, matchmaking decisions, or in-game voice/chat moderation, without compromising gameplay speed.Keeps your models and training data private through confidential computing and data sovereignty controls, helping you meet compliance requirements across regions including Europe, LATAM, and MENA.With a low-latency infrastructure that supports popular AI frameworks, Gcore Everywhere Inference allows your studio to deploy custom models and deliver more immersive, responsive player experiences at scale. With our confidential computing solutions, you retain full control over your training assets—no data is shared, exposed, or compromised.Deliver next-gen gaming with Gcore AIAI continues to revolutionize industries, and gaming is no exception. The deployment of artificial intelligence can help make games even more exciting for players, as well as enabling developers to work smarter when creating new games.At Gcore, AI is our core and gaming is our foundation. AI is seamlessly integrated into all our solutions with one goal in mind: to help grow your business. As AI continues to evolve rapidly, we're committed to staying at the cutting edge and changing with the future. Contact us today to discover how Everywhere Inference can enhance your gaming offerings.Get a customized consultation about AI gaming deployment

April 30, 2025 4 min read

How to choose the right CDN provider in a turbulent marketplace

In a CDN marketplace marked by provider shutdowns, price hikes, and shifting priorities, reliability is survival. If your current provider folds, you're not just facing downtime—you're losing revenue and customer trust. For the world’s top 2,000 companies, the total annual downtime cost is $400 billion, eroding 9% of profits. Choosing the right CDN partner isn’t just about performance, it’s about protecting your business from disruption.In this guide, we show you how to identify early warning signs, evaluate providers, and switch before your business takes the hit.Red flags: signs that it’s time to consider a new CDN providerIf you’re experiencing any of the following issues with your current CDN provider, it might be time to reconsider your current setup.Slower load times: If you’ve noticed lagging performance, your CDN provider may be running on outdated infrastructure or not investing in upgrades.Rising costs: Increasing prices without additional value? A higher bill and the same service is a major red flag.Uncertainty about long-term service: Look for clear communication and a demonstrated commitment to infrastructure investment, essential a market where providers frequently consolidate and shift focus.Your CDN should scale with you, not hold you back. Prioritize a partner who can evolve with your needs and support your long-term success.5 must-haves when choosing a CDN partnerNot all CDNs are created equal. Before switching, compare providers across these five key factors.Performance: Check real-world performance benchmarks and global coverage maps to understand how a CDN will serve your audience in key regions. Throughput (the amount of data that can be successfully delivered from a server to an end user over a specific period of time) and low latency are non-negotiable when choosing a CDN provider.Pricing: Before signing up, it’s essential to know what is and isn’t included in the price in case there are hidden fees. Look for predictable billing, volume-based tiers, and transparent overage charges to avoid surprise costs. Avoid vendors who lure you in with low rates, then add hidden overage fees.Security: Choose a CDN that offers built-in protection out of the box: DDoS mitigation, TLS, WAF, and API security. Bonus points for customizable policies that fit your stack. Strong security features should be standard for CDNs to combat advanced cyber threats.Edge computing: When it comes to Edge computing, understanding the power of this strategic CDN add-on can give you a significant advantage. Look for CDN providers that offer flexible edge compute capabilities, so you can process data closer to users, reduce latency, and improve response times.Future-proofing: The CDN market’s volatility makes partnering with providers with long-term stability vital. Pick a provider that’s financially solid, tech-forward, and committed to innovation—not just sticking around to get acquired.Choosing a new provider may feel like a challenge, but the long-term payoff—improved performance, lower risk, and a future-ready infrastructure—makes it well worth it. By picking a CDN partner that meets your needs now and for the future, you’ll receive fast, personalized, and secure experiences that truly stand out.What makes Gcore CDN different?Gcore CDN isn’t just another CDN, we’re your long-term performance partner. Here’s what we offer:Global scale, blazing speed: Our network spans 180+ edge locations across 6 continents, optimized for low-latency delivery no matter where your users are.Transparent, flexible pricing: No hidden fees. No lock-in. Just fair, flexible pricing models designed to scale with your growth.A stable partner in a shaky market: While others pivot or fold, Gcore is doubling down. We’re investing in infrastructure, expanding globally, and building for the next wave of content and edge use cases.If you’re ready to make the switch, we’re here to help. Get in touch for a free consultation to discuss your specific needs and tailor a transition plan that suits your business. For more insights about choosing the right CDN for your business, download our free CDN buyer's guide for a more in-depth look at the CDN landscape.Get your free CDN buyers guide now

April 24, 2025 3 min read

Introducing Super Transit for outstanding DDoS protection performance

We understand that security and performance for your online services are non-negotiables. That’s why we’re introducing Super Transit, a cutting-edge DDoS protection and acceleration feature designed to safeguard your infrastructure while delivering lightning-fast connectivity. Read on to discover the benefits of Super Transit, who can benefit from the feature, and how it works.DDoS mitigation meets exceptional network performanceSuper Transit intelligently routes your traffic via Gcore’s 180 point-of-presence global network, proactively detecting, mitigating, and filtering DDoS attacks. When an attack occurs, your customers don’t notice any difference: Their connection remains stable and secure. Plus, they get an enhanced end-user experience, as the delay between the end user and the server is significantly reduced, cutting down latency.“Super Transit allows for fast, worldwide access to our DDoS protection services,” explains Andrey Slastenov, Head of Security at Gcore. “This is particularly important for real-time services such as online gaming and video streaming, where delay can significantly impact user experience.”Who needs Super Transit?Super Transit is designed for enterprises that require both high-performance connectivity and strong DDoS protection. Here’s how it helps different roles in your organization:CISOs and security teams: Reduce risks and help ensure compliance by integrating seamless DDoS protection into your network.CTOs and IT leaders: Optimize traffic performance and maintain uninterrupted business operations.Network engineers and security architects: Simplify security management with API, automated attack mitigation, and secure GRE tunneling.How Super Transit worksSuper Transit optimizes performance and security by performing four steps.Traffic diversion: Incoming traffic is automatically routed through Gcore’s global anycast network, where it undergoes real-time analysis. Malicious traffic is blocked before it can reach your infrastructure.Threat detection and mitigation: Using advanced filtering, Super Transit identifies and neutralizes DDoS attacks.Performance optimization: Legitimate requests are routed through the optimal path within Gcore’s high-performance backbone, minimizing latency and maximizing speed.Secure tunneling to your network: Traffic is securely forwarded to your origin via stable tunneling protocols, providing a smooth, uninterrupted, and secure connection.Get Super Transit today for high-performance securitySuper Transit is available now to all Gcore customers. To get started, get in touch with our security experts who’ll guide you through how to get Super Transit up and running. You can also explore our product documentation, which provides a clear and simple guide to configuring the feature.Our innovations are driven by cutting-edge research, enabling us to stay one step ahead of attackers. We release the latest DDoS attack trends twice yearly, so you can make informed decisions about your security needs. Get the H1 2024 report free.Discover the latest DDoS attack trends with Gcore Radar

April 9, 2025 2 min read

How gaming studios can use technology to safeguard players

Online gaming can be an enjoyable and rewarding pastime, providing a sense of community and even improving cognitive skills. During the pandemic, for example, online gaming was proven to boost many players’ mental health and provided a vital social outlet at a time of great isolation. However, despite the overall benefits of gaming, there are two factors that can seriously spoil the gaming experience for players: toxic behavior and cyber attacks.Both toxic behavior and cyberattacks can lead to players abandoning games in order to protect themselves. While it’s impossible to eradicate harmful behaviors completely, robust technology can swiftly detect and ban bullies as well as defend against targeted cyberattacks that can ruin the gaming experience.This article explores how gaming studios can leverage technology to detect toxic behavior, defend against cyber threats, and deliver a safer, more engaging experience for players.Moderating toxic behavior with AI-driven technologyToxic behavior—including harassment, abusive messages, and cheating—has long been a problem in the world of gaming. Toxic behavior not only affects players emotionally but can also damage a studio’s reputation, drive churn, and generate negative reviews.The online disinhibition effect leads some players to behave in ways they may not in real life. But even when it takes place in a virtual world, this negative behavior has real long-term detrimental effects on its targets.While you can’t control how players behave, you can control how quickly you respond.Gaming studios can implement technology that makes dealing with toxic incidents easier and makes gaming a safer environment for everyone. While in the past it may have taken days to verify a complaint about a player’s behavior, today, with AI-driven security and content moderation, toxic behavior can be detected in real time, and automated bans can be enforced. The tool can detect inappropriate images and content and includes speech recognition to detect derogatory or hateful language.In gaming, AI content moderation analyzes player interactions in real time to detect toxic behavior, harmful content, and policy violations. Machine learning models assess chat, voice, and in-game media against predefined rules, flagging or blocking inappropriate content. For example, let’s say a player is struggling with in-game harassment and cheating. With AI-powered moderation tools, chat logs and gameplay behavior are analyzed in real time, identifying toxic players for automated bans. This results in healthier in-game communities, improved player retention, and a more pleasant user experience.Stopping cybercriminals from ruining the gaming experienceAnother factor negatively impacting the gaming experience on a larger scale is cyberattacks. Our recent Radar Report showed that the gaming industry experienced the highest number of DDoS attacks in the last quarter of 2024. The sector is also vulnerable to bot abuse, API attacks, data theft, and account hijacking.Prolonged downtime damages a studio’s reputation—something hackers know all too well. As a result, gaming platforms are prime targets for ransomware, extortion, and data breaches. Cybercriminals target both servers and individual players’ personal information. This naturally leads to a drop in player engagement and widespread frustration.Luckily, security solutions can be put in place to protect gamers from this kind of intrusion:DDoS protection shields game servers from volumetric and targeted attacks, guaranteeing uptime even during high-profile launches. In the event of an attack, malicious traffic is mitigated in real-time, preventing zero downtime and guaranteeing seamless player experiences.WAAP secures game APIs and web services from bot abuse, credential stuffing, and data breaches. It protects against in-game fraud, exploits, and API vulnerabilities.Edge security solutions reduce latency, protecting players without affecting game performance. The Gcore security stack helps ensure fair play, protecting revenue and player retention.Take the first steps to protecting your customersGaming should be a positive and fun experience, not fraught with harassment, bullying, and the threat of cybercrime. Harmful and disruptive behaviors can make it feel unsafe for everyone to play as they wish. That’s why gaming studios should consider how to implement the right technology to help players feel protected.Gcore was founded in 2014 with a focus on the gaming industry. Over the years, we have thwarted many large DDoS attacks and continue to offer robust protection for companies such as Nitrado, Saber, and Wargaming. Our gaming specialization has also led us to develop game-specific countermeasures. If you’d like to learn more about how our cybersecurity solutions for gaming can help you, get in touch.Speak to our gaming solutions experts today

April 7, 2025 3 min read

Gcore and Northern Data Group partner to transform global AI deployment

Gcore and Northern Data Group have joined forces to launch a new chapter in enterprise AI. By combining high-performance infrastructure with intelligent software, the commercial and technology partnership will make it dramatically easier to deploy AI applications at scale—wherever your users are. At the heart of this exciting new partnership is a shared vision: global, low-latency, secure AI infrastructure that’s simple to use and ready for production.Introducing the Intelligence Delivery NetworkAI adoption is accelerating, but infrastructure remains a major bottleneck. Many enterprises discover blockers regarding latency, compliance, and scale, especially when deploying models in multiple regions. The traditional cloud approach often introduces complexity and overhead just when speed and simplicity matter most.That’s where the Intelligence Delivery Network (IDN) comes in.The IDN is a globally distributed AI network built to simplify inference at the edge. It combines Northern Data’s state-of-the-art infrastructure with Gcore Everywhere Inference to deliver scalable, high-performance AI across 180 global points of presence.By locating AI workloads closer to end users, the IDN reduces latency and improves responsiveness—without compromising on security or compliance. Its geo-zoned, geo-balanced architecture ensures resilience and data locality while minimizing deployment complexity.A full AI deployment toolkitThe IDN is a full AI deployment toolkit built on Gcore’s cloud-native platform. The solution offers a vertically integrated stack designed for speed, flexibility, and scale. Key components include the following:Managed Kubernetes for orchestrationA container-based deployment engine (Docker)An extensive model library, supporting open-source and custom modelsEverywhere Inference, Gcore’s software for distributing inferencing across global edge points of presenceThis toolset enables fast, simple deployments of AI workloads—with built-in scaling, resource management, and observability. The partnership also unlocks access to one of the world’s largest liquid-cooled GPU clusters, giving AI teams the horsepower they need for demanding workloads.Whether you’re building a new AI-powered product or scaling an existing model, the IDN provides a clear path from development to production.Built for scale and performanceThe joint solution is built with the needs of enterprise customers in mind. It supports multi-tenant deployments, integrates with existing cloud-native tools, and prioritizes performance without sacrificing control. Customers gain the flexibility to deploy wherever and however they need, with enterprise-grade security and compliance baked in.Andre Reitenbach, CEO of Gcore, comments, “This collaboration supports Gcore’s mission to connect the world to AI anywhere and anytime. Together, we’re enabling the next generation of AI applications with low latency and massive scale.”“We are combining Northern Data’s heritage of HPC and Data Center infrastructure expertise, with Gcore’s specialization in software innovation and engineering.” says Aroosh Thillainathan, Founder and CEO of Northern Data Group. “This allows us to accelerate our vision of delivering software-enabled AI infrastructure across a globally distributed compute network. This is a key moment in time where the use of AI solutions is evolving, and we believe that this partnership will form a key part of it.”Deploy AI smarter and faster with Gcore and Northern Data GroupAI is the new foundation of digital business. Deploying it globally shouldn’t require a team of infrastructure engineers. With Gcore and Northern Data Group, enterprise teams get the tools and support they need to run AI at the edge at scale and at speed.No matter what you and your teams are trying to achieve with AI, the new Intelligence Delivery Network is built to help you deploy smarter and faster.Read the full press release

April 3, 2025 2 min read

The rise of DDoS attacks on Minecraft and gaming

The gaming industry is a prime target for distributed denial-of-service (DDoS) attacks, which flood servers with malicious traffic to disrupt gameplay. These attacks can cause server outages, leading to player frustration, and financial losses.Minecraft, one of the world’s most popular games with 166 million monthly players, is no exception. But this isn’t just a Minecraft problem. From Call of Duty to GTA, gaming servers worldwide face relentless DDoS attacks as the most-targeted industry, costing game publishers and server operators millions in lost revenue.This article explores what’s driving this surge in gaming-related DDoS attacks, and what lessons can be learned from Minecraft’s experience.How DDoS attacks have disrupted MinecraftMinecraft’s open-ended nature makes it a prime testing ground for cyberattacks. Over the years, major Minecraft servers have been taken down by large-scale DDoS incidents:MCCrash botnet attack: A cross-platform botnet targeted private Minecraft servers, crashing thousands of them in minutes.Wynncraft MC DDoS attack: A Mirai botnet variant launched a multi-terabit DDoS attack on a large Minecraft server. Players could not connect, disrupting gameplay and forcing the server operators to deploy emergency mitigation efforts to restore service.SquidCraft Game attack: DDoS attackers disrupted a Twitch Rivals tournament, cutting off an entire competing team.Why are Minecraft servers frequent DDoS targets?DDoS attacks are widespread in the gaming industry, but certain factors make gaming servers especially vulnerable. Unlike other online services, where brief slowdowns might go unnoticed, even a few milliseconds of lag in a competitive game can ruin the experience. Attackers take advantage of this reliance on stability, using DDoS attacks to create chaos, gain an unfair edge, or even extort victims.Gaming communities rely on always-on availabilityUnlike traditional online services, multiplayer games require real-time responsiveness. A few seconds of lag can ruin a match, and server downtime can send frustrated players to competitors. Attackers exploit this pressure, launching DDoS attacks to disrupt gameplay, extort payments, or damage reputations.How competitive gaming fuels DDoS attacksUnlike other industries where cybercriminals seek financial gain, many gaming DDoS attacks are fueled by rivalry. Attackers might:Sabotage online tournaments by forcing competitors offline.Target popular streamers, making their live games unplayable.Attack rival servers to drive players elsewhere.Minecraft has seen all of these scenarios play out.The rise of DDoS-for-hire servicesDDoS attacks used to require technical expertise. Now, DDoS-as-a-service platforms offer attacks for as little as $10 per hour, making it easier than ever to disrupt gaming servers. The increasing accessibility of these attacks is a growing concern, especially as large-scale incidents continue to emerge.How gaming companies can defend against DDoS attacksWhile attacks are becoming more sophisticated, effective defenses do exist. By implementing proactive security measures, gaming companies can minimize risks and maintain uninterrupted gameplay for customers. Here are four key strategies to protect gaming servers from DDoS attacks.#1 Deploy always-on DDoS protectionGame publishers and server operators need real-time, automated DDoS mitigation. Gcore DDoS Protection analyzes traffic patterns, filters malicious requests, and keeps gaming servers online, even during an attack. In July 2024, Gcore mitigated a massive 1 Tbps DDoS attack on Minecraft servers, highlighting how gaming platforms remain prime targets. While the exact source of such attacks isn’t always straightforward, their frequency and intensity reinforce the need for robust security measures to protect gaming communities from service disruptions.#2 Strengthen network securityGaming companies can reduce attack surfaces in the following ways:Using rate limiting to block excessive requestsImplementing firewalls and intrusion detection systemsObfuscating server IPs to prevent attackers from finding them#3 Educate players and moderatorsSince many DDoS attacks come from within gaming communities, education is key. Server admins, tournament organizers, and players should be trained to recognize and report suspicious behavior.#4 Monitor for early attack indicatorsDDoS attacks often start with warning signs: sudden traffic spikes, frequent disconnections, or network slowdowns. Proactive monitoring can help stop attacks before they escalate.Securing the future of online gamingDDoS attacks against Minecraft servers are part of a broader trend affecting the gaming industry. Whether driven by competition, extortion, or sheer disruption, these attacks compromise gameplay, frustrate players, and cause financial losses. Learning from Minecraft’s challenges can help server operators and game developers build stronger defenses and prevent similar attacks across all gaming platforms.While proactive measures like traffic monitoring and server hardening are essential, investing in purpose-built DDoS protection is the most effective way to guarantee uninterrupted gameplay and protect gaming communities. Gcore provides advanced, multi-layered DDoS protection specifically designed for gaming servers, including countermeasures tailored to Minecraft and other gaming servers. With a deep understanding of the industry’s security challenges, we help server owners keep their platforms secure, responsive, and resilient—no matter the type of attack.Want to take the next step in securing your gaming servers?Download our ultimate guide to preventing Minecraft DDoS

March 27, 2025 3 min read

How AI enhances bot protection and anti-automation measures

Bots and automated attacks have become constant issues for organizations across industries, threatening everything from website availability to sensitive customer data. As these attacks become increasingly sophisticated, traditional bot mitigation methods struggle to keep pace. Businesses face a growing need to protect their applications, APIs, and data without diminishing the efficiency of essential automated parts and bots that enhance user experiences.That’s where AI comes in. AI-enabled WAAP is a game-changing solution that marries the adaptive intelligence of AI with information gleaned from historical data. This means WAAP can detect and neutralize malicious bot and anti-automation activity with unprecedented precision. Read on to discover how.The bot problem: why automation threats are growingJust a decade ago, use cases for AI and bots were completely different than they are today. While some modern use cases are benign, such as indexing search engines or helping to monitor website performance, malicious bots account for a large proportion of web traffic. Malicious bots have grown from simple machines that follow scripts to complex creations that can convincingly simulate human behaviors.What makes bots particularly dangerous is their ability to evade detection by mimicking human-like patterns. Simple measures like CAPTCHA tests or IP blocking no longer suffice. Businesses need more intelligent systems capable of identifying and mitigating these evolving threats without impacting real users.Defeating automation threats with AI and machine learningToday’s bots don’t just click on links. They fake human activity convincingly, and defeating them involves a lot more than just simple detection. Battling modern bots requires fighting fire with fire by implementing machine learning and AI to create defensive strategies such as blocking credential stuffing, blocking data scraping, and performing behavioral tagging and profiling.Blocking credential stuffingCredential stuffing is a form of attack in which stolen login credentials are used to gain access to user accounts. AI/ML systems can identify such an attack by patterns, including multiple failed logins or logins from unusual locations. These systems learn with each new attempt, strengthening their defenses after every attack attempt.Data scraping blockingScraping bots can harvest everything from pricing data to intellectual property. AI models detect these through the repetitive patterns of requests or abnormally high frequencies of interactions. Unlike basic anti-scraping tools, AI learns new ways that scraping is done, keeping businesses one step ahead.Behavioral tagging and profilingAI-powered systems are quite good at analyzing user behavior. They study the tendencies of session parameters, IP addresses, and interaction rates. For instance, most regular users save session data, while bots do not prioritize this action. The AI system flags suspicious behavior and highlights the user in question for review.These systems also count the recurrence of certain actions, such as clicks or requests. The AI is supposed to build an in-depth profile for every IP or user and find something out of the ordinary to suggest a way to block or throttle the traffic.IP rescoring for smarter detectionOne of the unique capabilities of AI-driven bot protection is Dynamic IP Scoring. Based on external behavior data and threat intelligence, each incoming IP is accorded a risk score. For example, an IP displaying a number of failed login attempts could be suspicious. If it persists, that score worsens, and the system blocks the traffic.This dynamic scoring system does not focus on mere potential threats. It also allows IPs to “recover” if their behavior normalizes, reducing false positives and helping to ensure that real users are not inadvertently blocked.Practical insights: operationalizing AI-driven bot protectionImplementing AI/ML-driven bot protection requires an understanding of both the technology and the operational context in which it’s deployed. Businesses can take advantage of several unique features offered by platforms like Gcore WAAP:Tagging system synergy: Technology-generated tags, like the Gcore Tagging and Analysis Classification and Tagging (TACT) engine, are used throughout the platform to enforce fine-grained security policies and share conclusions and information between various solution components. Labeling threats allows users to easily track potential threats, provides input for ML analysis, and contributes data to an attacker profile that can be applied and acted on globally. This approach ensures an interlinked approach in which all components interact to mitigate threats effectively.Scalable defense mechanisms: With businesses expanding their online footprints, platforms like Gcore scale seamlessly to accommodate new users and applications. The cloud-based architecture makes continuous learning and adaptation possible, which is critical to long-term protection against automation threats.Cross-domain knowledge sharing: One of the salient features of Gcore WAAP is cross-domain functionality, which means the platform can draw from a large shared database of user behavior and threat intelligence. Even newly onboarded users immediately benefit from the insights gained by the platform from its historical data and are protected against previously encountered threats.Security insights: Gcore WAAP’s Security Insights feature provides visibility into security configurations and policy enforcement, helping users identify disabled policies that may expose them to threats. While the platform’s tagging system, powered by the TACT engine, classifies traffic and identifies potential risks, separate microservices handle policy recommendations and mitigation strategies. This functionality reduces the burden on security teams while enhancing overall protection.API discovery and protection: API security is among the most targeted entry points for automated attacks due to APIs’ ability to open up data exchange between applications. Protecting APIs requires advanced capabilities that can accurately identify suspicious activities without disrupting legitimate traffic. Gcore WAAP’s API discovery engine achieves this with a 97–99% accuracy rate, leveraging AI/ML to detect and prevent threats.Leveraging collective intelligence: Gcore WAAP’s cross-domain functionality creates a shared database of known threats and behaviors, allowing data from one client to protect the entire customer base. New users benefit immediately from the platform’s historical insights, bypassing lengthy learning curves. For example, a flagged suspicious IP can be automatically blocked across the network for faster, more efficient protection.Futureproof your security with Gcore’s AI-enabled WAAPBusinesses are constantly battling increasingly sophisticated botnet threats and have to be much more proactive regarding their security mechanisms. AI and machine learning have become integral to fighting bot-driven attacks, providing an unprecedented level of precision and flexibility that no traditional security systems can keep up with. With advanced behavior analysis, adaptive threat models, and cross-domain knowledge sharing, Gcore WAAP establishes new standards of bot protection.Curious to learn more about WAAP? Check out our ebook for cybersecurity best practices, the most common threats to look out for, and how WAAP can safeguard your businesses’ digital assets. Or, get in touch with our team to learn more about Gcore WAAP.Learn why WAAP is essential for modern businesses with a free ebook

March 24, 2025 4 min read

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