Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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You probably think the security mantra “you can’t protect what you don’t know about” is an inarguable truth. But you would be wrong. It doesn’t hold water in today’s threat landscape. Of course, it sounds reasonable. Before you secure APIs, you must first discover, inventory, and document them exhaustively. The problem is that this way of thinking has hardened into dogma and ignores how attackers actually attack modern systems.

Secure hybrid networks promise agility by blending on-premises data centers with public cloud platforms and private cloud environments—yet cross-cloud blind spots leave security teams racing to spot threats slipping through hybrid seams. Attackers chain exploits across multiple environments while visibility evaporates under tool sprawl, turning flexible hybrid network architectures into dangerous patchwork. In 2026, US organizations face $10.22 million average data breach costs amid this chaos.

Welcome to the 24th edition of Cloudflare’s Quarterly DDoS Threat Report. In this report, Cloudforce One offers a comprehensive analysis of the evolving threat landscape of Distributed Denial of Service (DDoS) attacks based on data from the Cloudflare network. In this edition, we focus on the fourth quarter of 2025, as well as share overall 2025 data.

Sr. Technical Content Strategist The recent attention on OpenClaw brought something we've known for a while at LimaCharlie into sharp focus: Unrestricted AI operations are extremely powerful and incredibly risky. The security challenges presented by AI adoption can rival the productivity gains it delivers. Unrestricted AI agents can read credentials, execute commands, send emails, and make API calls without meaningful oversight.

Artificial intelligence has fundamentally changed how we build software. Generative AI tools help developers write code faster, automate mundane tasks, and solve complex logic problems in seconds. But this speed comes with a hidden cost. When you accelerate development without adjusting your security posture, you inadvertently accelerate risk. Relying on AI-generated code and open-source packages in cloud environments can expose your organization to serious, often silent, vulnerabilities.

Researchers at Palo Alto Networks’ Unit 42 warn of a proof-of-concept (PoC) attack technique in which threat actors could use AI tools to generate malicious JavaScript in real time on seemingly innocuous webpages. “Once loaded in the victim's browser, the initial webpage makes requests for client-side JavaScript to popular and trusted LLM clients (e.g., DeepSeek and Google Gemini, though the PoC could be effective across a number of models),” the researchers write.