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18 articles tagged #Cybersecurity.
P.01The OWASP API Security Top 10 lists the most critical API vulnerabilities. Most are fixable with straightforward code changes. This guide walks through each one with real examples.
P.02Vulnerability scanning catches known CVEs in your base images and dependencies before they reach production. Here's how to set up Trivy and Snyk, understand their output, and act on what they find.
P.03Most web apps are missing four or five headers that would neutralize entire classes of attack. Here's what each header does, what to set, and why most defaults leave you exposed.
P.04Employees are using AI tools IT hasn't approved, and the data leaving through those tools is largely invisible. Here's what the risk looks like and what actually helps.
P.05Leaked credentials are the most preventable category of security breach. Here is an honest look at when you need a dedicated secrets manager, which tool to pick, and what to do if you're still on .env files.
P.06Running containers in production without scanning them is the equivalent of shipping code without running tests. Here's how teams scan images, generate SBOMs, and add runtime protection, from the CI step to the cluster.
P.07Passkeys are no longer an experimental feature. Apple, Google, and Microsoft all support them natively. Here's what WebAuthn actually looks like in code and when passkeys make sense for your app.
P.08Prompt injection is the SQL injection of the AI era. As LLMs ship into production apps by the millions, attackers are learning how to hijack them through the data they consume. Here's what the attack looks like and how to defend against it.
P.09Explore ZeroDayBench—A new benchmark testing the efficacy of leading LLM agents in discovering and patching unseen security vulnerabilities.
P.10How AI is transforming threat detection, anomaly detection, and automated incident response in 2026. Real-world examples, platform comparisons, and what developers and businesses need to know.
P.11An honest analysis of Claude Code's security model, prompt injection risks, sandbox escapes, and supply chain threats in agentic coding tools. Lessons every developer and tool builder should learn in 2026.
P.12AI-generated phishing, deepfake CEO fraud, automated vulnerability exploitation — the attacks got smarter. But so did the defenses. We break down both sides of the AI cybersecurity arms race and what developers should actually do about it.
P.13Zero Trust is the most overused term in cybersecurity. But the architecture behind it is real, and after high-profile breaches in 2025-2026, everyone is finally taking it seriously. Here is what implementation actually looks like.
P.14A massive AT&T dataset containing 176 million records has resurfaced on dark web forums. The breach includes 148 million Social Security numbers, names, addresses, and phone numbers spanning years of customer data.
P.15By 2028, 1 in 4 job candidates will be fake. North Korean operatives have infiltrated 300+ US companies using AI-generated personas. Deepfake job fraud is the hiring crisis nobody prepared for.
P.16Anthropic's Claude Opus 4.6 discovered over 500 previously unknown high-severity vulnerabilities in open-source software. Here's what this means for cybersecurity, developers, and the future of AI-powered security research.
P.17EditorPickAI agents are being deployed everywhere, but their security surface is wildly underexplored. From tool poisoning to memory injection, here's the threat landscape developers must understand in 2026.
P.18From supply chain attacks to AI-powered threats, learn the essential security practices every developer must know in 2026 to build secure applications.