Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

When Agents Trust Each Other, One Compromised MCP Server Is Enough

The agentic AI security conversation has, for good reason, spent most of its energy on the agents an organization builds or deploys directly: what they're authorized to do, what data they can reach, how their behavior is monitored. I think that focus is necessary and also increasingly incomplete, because the fastest-growing risk surface in agentic AI right now isn't the agents themselves.

Yandex outage: Data shows that instead of going dark, malicious bots went on the move

Following reported strikes on Yandex data centers, claims circulated on the Internet that Russian bot farms and influence operations had been knocked offline. HTTP traffic charts showed steep drops, fueling speculation that the infrastructure damage had stopped these malicious actors. However, aggregate traffic metrics can easily mislead. There are two autonomous system numbers (ASNs) associated with Yandex: AS13238 is used by Yandex’s search engine, while AS200350 runs its cloud services.

How to Find Shadow AI: 3 Hidden Entry Points

For years, companies treated shadow IT primarily as a policy and control problem. Employees have always found and used technology outside the approved IT stack, from unauthorized endpoint applications and browser extensions to personal cloud services. It left a trail: an install, a device on the network, something a scan or an agent could eventually catch. From there, an analyst had to investigate the finding and assess the risk before deciding how to respond.

The AI Revolution for Security Cameras is Here

Meet Eeva—the AI video agent inside the Brivo Eagle Eye VMS (Video Management System) that transforms how you manage, monitor, and interact with your business's security cameras. Instead of just recording footage, Eeva actively watches for the specific events that impact your business daily. No AI training or coding required—just type what you want Eeva to look for in your own words. What can Eeva keep an eye on for you?

The Role of AI Calling in Secure Business Communication

Every business depends on phone conversations. Customers share account details, teams discuss deals, and managers make quick decisions over the line. Because so much sensitive information travels through voice, protecting it matters as much as protecting email or stored files. This is where AI calling has started to play a useful part. In simple terms, AI calling means using artificial intelligence to place, answer, or manage phone calls, often by understanding speech and responding in a natural way. When it is set up with care, it can make business communication safer as well as smoother.

How Low-Latency Infrastructure Supports Automated Trading

Automated trading sounds simple on paper. You write a set of rules, a program follows them, and trades happen without you watching the screen. In practice, the speed and reliability of the system behind those rules matter just as much as the rules themselves. This is why many traders look at tools like a trading VPS, which is a virtual private server that runs your trading software in a professional data center instead of on a home computer. To see why that matters, it helps to understand what low latency really means and how it shapes every automated trade.

Non-Human Identity Management in Atlassian Cloud

Ask a security team how many employees they have and they will answer instantly. Ask how many non-human identities they have, and the room goes quiet. Non-human identities (NHIs) are the identities that applications, services and automation use to act in a system. Service accounts, automation users and bot logins are identities, while API tokens, keys and certificates are the credentials they authenticate with, and teams have to govern both. These identities run deployments, sync data, post notifications and generate reports, usually without anyone watching.