Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

When a Cyber Loss Becomes a Recall

Cyber loss models are built around information leaving an organization. Records exposed, notification costs, regulatory penalty, litigation from affected individuals. Every category assumes the harm is informational. ‍ A compromise affecting vehicles in the field produces something the model has no term for. The vehicle can behave differently, the manufacturer may have to recall it, and the recall cost is frequently larger than anything the cyber categories would have produced. ‍

What an AI Correlation Rule Does When Sources Disagree

A correlation rule joins records from several sources to establish that one thing happened. Two of those sources return different answers about the same identity, the same session or the same action. Something has to happen next, and what most systems do is pick a winner. ‍ Picking is the wrong default. The disagreement carries information that resolving it discards, and in a few specific cases the disagreement is the most useful thing the system produced. ‍

Preparing for an AI-Powered Future with Amazon CSO Steve Schmidt

Steve Schmidt, SVP and CSO at Amazon, sees firsthand how both defenders and adversaries are using AI to their advantage. In this episode, he joins Adam and Cristian to discuss modern AI models, evolving adversary behavior, and how Amazon is responding to shifts in the threat landscape. “The big change we’ve seen recently is the ability of models to chain things together to produce something interesting,” Steve says. As AI models grow more adept at automatically chaining and acting, he adds, the time to respond has dramatically decreased.

Seeing Every MCP Connection: Zenity Joins the Cursor Marketplace

Cursor has become one of the primary AI coding environments for development teams, and its agents increasingly reach into the outside world through MCP servers: databases, ticketing systems, cloud consoles, and internal APIs. Every connection extends what an agent can do. It also extends what could go wrong if that access goes unmonitored or unchecked.

Agentic AI Security Buyer's Checklist: 15 Questions to Ask Before You Sign

Buying agentic AI security software is a fast-moving decision with high stakes. Get it wrong, and your security team ends up chasing agent activity it cannot see, while attackers exploit business logic gaps that no prompt filter was built to catch. This checklist gives security and platform leaders a structured way to evaluate vendors before signing, based on the questions that actually separate a purpose-built platform from a bolted-on feature.

Detection scaled. The loop did not.

Findings got cheap. Verified closure did not. That AppSec remediation gap is the actual problem. AppSec spent a decade winning the wrong race. We got very good at finding things. Scanners in CI. SCA on every manifest. SAST on every pull request. Container and IaC checks on the way to the cluster. Then AI arrived and did what AI does to a solved problem: it made discovery cheaper, louder, and continuous. The same model that writes the function will also enumerate the ways to break it.

Acronis denial-of-wallet protection: Managing runaway AI usage before costs spike

With most cyberattacks, the problem announces itself. A service goes down. A user cannot log in. An alert fires. Denial-of-wallet is different. The application keeps working normally while the cost of running it climbs in the background. That is what makes it a security problem and not only a budgeting one. The goal is not to take a system offline. It is to make the system do expensive work that nobody asked for.

Ransomware's AI Adoption Curve: From Marketing Claim to Operating Model

Somewhere in the first nine months of 2026, AI stopped being a talking point in ransomware and became part of how the work actually gets done. Tracking new ransomware-as-a-service (RaaS) launches, darknet recruitment ads and public incident reporting through this period shows a three-step progression: AI as advertising, AI as an assistant, and AI built directly into ransomware.