Protecting Red Hat OpenShift AI with Trilio for Kubernetes: a hands-on lab

A few weeks ago I was on a call with a financial services customer who had moved a credit-decisioning model into production on Red Hat OpenShift AI. They were happy with the platform. They were less happy with the answer they had for a question their risk officer had just asked: “If an attacker encrypts the cluster tomorrow, what do we need to bring back to be inference-ready by Monday morning?” The team started listing the obvious things — the model artifact, the serving endpoint.

A2A vs MCP: Which Is More Secure?

Two protocols are shaping the AI revolution: A2A for agent-to-agent delegation, and MCP for agent access to tools and external systems. A2A expands who can participate in a workflow by enabling agent-to-agent delegation. MCP expands what agents can reach by connecting them to data and systems. By the end of 2026, task-specific AI agents are expected to appear in 40% of enterprise applications, up from less than 5% in 2025. That shift changes where security has to live.

Exposure Management Explained: How to Go Beyond Vulnerability Scanning

Vulnerability scanning gives security teams a starting point, but it has never been the whole picture. Scan results capture known CVEs across applications and systems, yet they say nothing about whether a given weakness is actually reachable, whether the controls around it are functioning correctly, or whether the people with access to it represent a meaningful risk. Exposure management addresses all of that.

From PentestGPT to production: The state of AI-assisted offensive security with Charles Grandjean

Join us for this week's Defender Fridays as Charles Grandjean, CTO and Co-founder at Hexiagon AI, breaks down where AI-assisted pen testing actually stands today and what it means for both red teams and defenders. At Defender Fridays, we delve into the dynamic world of information security, exploring its defensive side with seasoned professionals from across the industry. Our aim is simple yet ambitious: to foster a collaborative space where ideas flow freely, experiences are shared, and knowledge expands.

Even Google says you cannot do AI security on one platform

This week, Connie Loizos, editor in chief of TechCrunch, sat down backstage with Francis de Souza, COO of Google Cloud, for a piece on the state of enterprise AI security. The interview is worth reading in full. Three points in it should reshape how every CISO is thinking about the next twelve months.

The Collapse of Symmetry: Why Periodic Pentesting is Strategic Suicide Against Algorithmic Warfare

The cybersecurity industry is sleepwalking. We are still captivated by the romanticized image of the hacker: a human in a hoodie manually typing code to breach a network. Wake up to the reality of 2026. The modern adversary is no longer human. It is algorithmic.

Businesses have NO IDEA how bad AI attacks can be

There are two types of companies: those who have been compromised and those who will be. Mid and small businesses are walking into this reality without understanding what AI has changed. On The Cybersecurity Defenders Podcast, David Chernitzky, CEO and co-founder of Armour Cybersecurity, explains why the gap between how large organizations understand AI-driven threats and how smaller ones do is widening fast.