Riscosity AI governance Overview
Find out how to easily layer AI governance and data flow posture management on data being used by employees, applications and systems with AI services, models and agents.
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CloudCasa DR for HPE Alletra with Red Hat OpenShift - PART 1: Failover
CloudCasa orchestrates disaster recovery failover for stateful workloads across two HPE Alletra arrays running Red Hat OpenShift. In this demo, we fail over a file server application from Site A (HPE Alletra 9060) to Site B (HPE Alletra MP B10000), with CloudCasa installing its agent via a single kubectl apply, discovering both clusters and storage systems, mapping the pre-configured HPE replication relationship, and triggering consistency group failover so the workload comes back up on Site B with all data intact.
CloudCasa DR for HPE Alletra with Red Hat OpenShift - PART 2: Failback
CloudCasa completes the disaster recovery cycle by failing a file server application back from Site B (HPE Alletra MP B10000) to its original primary on Site A (HPE Alletra 9060), both running Red Hat OpenShift. In this demo, we create a reverse DR plan, scale down the workload for a clean shutdown, and let CloudCasa orchestrate the two-phase failback: an HPE recover/restore operation that reverses replication at the storage layer, followed by progressive Kubernetes resource restoration, before the file server comes back online on Site A with its data intact.
The Hidden Security Risk in AI Extensions!
AI add-ons can automate everything from travel to banking—but are they opening backdoors to your private data? Here is what to look for before granting permissions.
Inside CVE-2026-53435: Authenticated Deserialization to Full Controller Takeover in Jenkins via config.xml
How a low-privileged account turns an XML configuration upload into arbitrary file read, user impersonation, and remote code execution — and how to detect and stop it. Published 16 June 2026 · Fact-checked against the official project advisory and government vulnerability databases.
1Password + Kiro: Trusted Access for AI-Powered Development
AI agents now write code, fix bugs, and ship to production. But in order to do useful work, agents require credentials. At 1Password, one of our core AI security principles is that raw credentials should never be directly exposed to LLMs, but all too often, that’s exactly what happens: most teams sacrifice security for speed and hand agents secrets in plaintext.
Bringing more agent harnesses and frameworks to Cloudflare, starting with Flue
2026 is the year agent harnesses go to production. The software that controls the model’s access to the outside world — harnesses like Codex, Claude Code, OpenCode, Pi, and Project Think — has matured to the point where teams are deploying agents as real, load-bearing infrastructure, not just prototypes. But building agents that survive production is hard.
Introducing the Cloudflare One stack: agent-powered deployment
Adopting or migrating to a Zero Trust network architecture can be a daunting task. Before a single policy changes, teams have to recall how their network is actually built: which applications exist, their authentication and authorization constructs, how traffic flows between them, and any assumptions the current architecture makes. This hands-on process requires practitioners to decode the intent behind every security and routing policy in place.