Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

How AI Is Changing What Security Teams Can Actually Do | Nancy Phillips, Ensemble Health Partners

Threat actors used to need days or weeks to exploit a vulnerability. Now AI lets them do it in seconds. Most security teams are already buried. Too many tools, too many alerts, manual processes that can't keep pace, and break-glass changes that get made and forgotten. Keeping everything configured and optimized correctly is a full-time job on its own. Nancy Phillips, Chief Information Security Officer at Ensemble Health Partners: "I want my teams doing the innovative stuff. Not the mundane, repeatable stuff.".

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.

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.

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.

Uncovering LLM Vulnerabilities: Insights from the AI Security Testing Front Line

Artificial intelligence (AI) is transforming the business landscape at an accelerated pace. The announcement of Mythos from Anthropic, with its limited public release, is just one example of how LLMs are changing the speed at which unknown flaws in IT systems can be exposed.

Agentic Identity Is Not NHI With a Brain

The non-human identity (NHI) problem was always the same problem: too many service accounts, too few owners, too many secrets in too many places. They sat where we left them, quietly piling up privilege, outliving the engineer who created them. Eventually someone, an auditor, sometimes an attacker, went looking and found them. Agents are a different problem.