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11 articles tagged #Cybersecurity.
P.01Prompt 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.02Explore ZeroDayBench—A new benchmark testing the efficacy of leading LLM agents in discovering and patching unseen security vulnerabilities.
P.03How 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.04An 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.05AI-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.06Zero 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.07A 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.08By 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.09Anthropic'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.10EditorPickAI 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.11From supply chain attacks to AI-powered threats, learn the essential security practices every developer must know in 2026 to build secure applications.