Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Ask most people what “consent” means and you’ll hear about a banner that asks to collect cookies. That was yesterday. Modern LLMs ingest emails, tickets, docs, chats, and logs. They create embeddings, reference snippets with retrieval, and sometimes fine-tune on past conversations. If you do not wire user consent into each of those steps, you either violate laws, lose user trust, or both. That is why user consent is revolutionizing LLM privacy practices.

As the surface area for attacks on the web increases, Cloudflare’s Web Application Firewall (WAF) provides a myriad of solutions to mitigate these attacks. This is great for our customers, but the cardinality in the workloads of the millions of requests we service means that generating false positives is inevitable. This means that the default configuration we have for our customers has to be fine-tuned.

The world of cyber security is on the cusp of a fundamental transformation. For decades, the primary security model has been one of prevention building higher walls and stronger gates to keep adversaries out. But as we look toward 2026, this fortress mentality is proving insufficient.

Artificial intelligence (AI) is everywhere in cybersecurity marketing. Real AI is not about detecting more. It is about making decisions faster and more precisely, so that humans can spend their time on what truly matters. Endpoint security efficiency is the ability to deliver maximum protection with minimum operational effort, turning noise into clarity and alerts into meaningful incidents. AI is the engine that makes this possible.

A significantly evolved version of the Shai-Hulud malware now tracked as Sha1-Hulud has been discovered with over 800 packages affected, now featuring persistent backdoor capabilities through compromised GitHub Actions runners and enhanced multi-cloud credential harvesting.

Docker and OpenShift solve different problems in containerization. Docker creates and runs containers, while OpenShift manages container deployments at enterprise scale using Kubernetes underneath it. Docker vs. Openshift isn’t about choosing one over the other but rather understanding which tool fits your specific use case. Docker excels at application packaging and local development. OpenShift handles production orchestration, security policies, and multi-team environments.

Microsoft Ignite 2025 delivered big news for security professionals. The theme this year is clear: Microsoft is giving customers more capability inside the tools they already own, focused on AI agents and integrations. Whether you are a small IT team, a mid-market group, or a global enterprise, these updates can transform your security posture.