Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

What Is a Dedicated Server? Full Guide, Advantages, and Use Cases

A dedicated server is one of the most powerful hosting solutions available today. Unlike shared hosting or virtual servers (VPS/VDS), where resources are distributed among multiple users, a dedicated server provides full physical hardware exclusively to one client. This makes it the preferred choice for businesses and projects requiring maximum performance, stable uptime, advanced security controls, and predictable resource allocation. In this article, we will examine how dedicated servers operate, what technical principles lie behind them, and who benefits the most from renting such infrastructure.

Your Data Deserves a Fortress: Why Shared Hosting is a Security Gamble in 2026

Cybersecurity is no longer just an IT concern; it is an existential issue for businesses of all sizes. Ransomware attacks, data breaches, and automated botnets do not discriminate between a multinational corporation and a local e-commerce store. While many business owners invest heavily in antivirus software and firewalls for their office laptops, they often overlook a glaring vulnerability: the infrastructure where their website and customer data actually live. Hosting your business on a shared server is akin to leaving your front door unlocked because you live in a "safe neighborhood." It works until it doesn't.

Is your organization actually AI-ready? #cybersecurity #aisecurity #ainews

According to our CEO @Ev Kontsevoy, this isn't a "nice to have" anymore."It will be required if you don't want to fail." For the last two years, most companies have treated AI as an experiment. But as Ev explains in this clip, 2026 is the year AI graduates from the labs and enters production. This shift changes the requirements for everything – from how we secure identity, to who we hire. To help you navigate this transition, we’re breaking down Ev’s 2026 Cybersecurity Predictions.

LLM Red Teaming: Threats, Testing Process & Best Practices

LLM red teaming is a proactive security practice that involves systematically testing large language models (LLMs) with adversarial inputs to find vulnerabilities before deployment. By using manual or automated methods to probe for weaknesses, red teamers can identify issues like harmful content generation, bias, or security exploits, which are then addressed through a continuous “break-fix” loop to improve the model’s safety and reliability.

Why Physical Infrastructure Still Matters in a Cyber World

As organizations accelerate cloud adoption and digital transformation, it's tempting to think physical infrastructure is becoming less important. Software-defined networks, virtual machines, and remote access tools dominate security conversations. Yet the reality is more nuanced. Digital systems still rely on physical foundations, and when those foundations fail, even the most sophisticated cyber defenses can unravel.

A New Era for AI Coding? GPT 5.2 vs. Security Vulnerabilities

Can OpenAI’s GPT 5.2 actually build a production-ready, secure application from a single prompt? In this video, we put the latest model to the test by asking it to build a full-stack Node.js note-taking app. We evaluate its dependency choices, dive into a surprising fix for a long-standing CSRF vulnerability, and run a full security audit using Snyk. Is this the new gold standard for AI coding models?

Should you still pay for SSL certificates?

There’s a particular flavor of skepticism that shows up whenever someone suggests using Let’s Encrypt. The security team crosses their arms. “Free certificates? For production? We’re a serious organization. We use Sectigo.” I get it. You’ve been buying certificates from the same vendors for twenty years. They send you invoices, you pay them, certificates appear. It feels responsible, and free feels like a trap. But is it?

The Complete Application Security Toolkit: From Code Scanning to Runtime Protection

Last Tuesday, your SCA tool flagged 3,847 CVEs across your Kubernetes clusters. Your SAST scanner added another 1,200 findings from the overnight build. The container scanning pipeline blocked 47 images. And somewhere in Slack, someone from the SOC is asking why you haven’t patched the Log4j variant they read about on Twitter. You’ve done everything the security vendors told you to do. You shifted left. You scan everything. You gate deployments. You have dashboards.

Jeremy Brown, CTO at GitGuardian, on AI, NonHuman Identities, and the Governance Gap in 2026

AI isn’t creating new security problems, it’s exposing existing ones at scale. GitGuardian saw 24M secrets leaked on public GitHub last year (+25%), and private repos are far more likely to contain secrets because people get careless when they feel safe. AI also enables more non-developers to ship apps without security training and generates oversized PRs that can’t be realistically reviewed, increasing leak risk. Attackers increasingly don’t “hack”, they use leaked credentials to log in and blend in like normal users, making traditional incident response less effective.