Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How Airlines are Scaling Disruption Management with AI and Human Collaboration

A single weather event. A ground stop at a major hub. An unexpected crew shortage. Within hours, what began as a routine operating day can spiral into thousands of stranded passengers, hundreds of cascading cancellations, and a contact centre fielding ten times its normal volume, all at once. Airline disruption management is unlike almost any other customer experience challenge because it escalates at an unexpected rate. And when it does, every second of delay in reaching a passenger compounds frustration, erodes loyalty, and multiplies the cost of recovery.

Workflow orchestration: coordinating systems, people, and AI

AI agents are showing up across every team's stack faster than the systems to coordinate them. Cross-team work that depends on five tools and three approvals tends to break in the handoffs between them, and most teams patch those breaks with manual stitching, fragile scripts, or alerts that age in a queue until someone notices. Workflow orchestration is the coordination layer that closes those gaps.

How Modern DLP Enables AI Adoption Without Slowing Down the Business

Organizations are not choosing between AI adoption and data security. Rather, they are discovering, often after the fact, that these two priorities are pulling in opposite directions. The engineering team has been using GitHub Copilot for six months. Finance is running variance analysis through ChatGPT. Legal is pasting contract language into Gemini for redlining. According to Cyberhaven Labs research, 39.7% of the data employees share with AI tools is sensitive.

Agentic SOCs: The public sector's new AI cybersecurity defense

Adversaries are using AI to launch cyber attacks in record time, forcing security teams to measure responses in seconds instead of hours or days. Detecting these attacks is increasingly difficult. Phishing campaigns built by large language models (LLMs) achieve click-through rates 4.5x higher than traditional methods.1 Public sector organizations are at an inflection point with cybersecurity. Most security stacks in place today weren’t built for this level of speed.

Your AI bill is out of control. Cloudflare can fix it now.

There isn't a CIO on the planet not worried about AI spend right now. CFOs are increasingly nervous, too. For fear of falling behind, many companies have pushed their employees to use AI as aggressively as possible. The edict was clear: "Move fast, we'll figure out the bill later." And for the most part, it worked: AI has been genuinely transformational for the teams that leaned in. But the costs are real: we’ve heard countless horror stories of huge bills and painful overages on token spend.

How to Secure AI Adoption In Your Organization

The era of "typing into a box" is over. For years, we viewed artificial intelligence as a digital assistant—a sophisticated autocomplete tool that waited for human input. But according to Martin Kraemer, KnowBe4’s CISO Advisor for Europe and the Middle East, that dynamic has shifted. We have moved from asking AI questions to giving AI jobs. In a recent webinar, Martin explores the transition from AI tools to AI agents.

The Meta AI Chatbot Did Exactly What it Was Asked. That Was the Vulnerability. Why Business Logic Security is the Foundation!

An account-takeover campaign against Instagram shows why agentic AI inherits every business logic blind spot we already had and then hands it a megaphone. Over the past weekend, a number of Instagram users, including the long-dormant Obama-era White House handle and a U.S. Space Force senior enlisted leader found their accounts hijacked. As reported by TechCrunch, the entry point wasn’t a stolen password, a phishing kit, or a zero-day in Instagram’s code.