Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How the integration works: Zenity integrates with the Foundry control plane to inspect agent behavior and enforce security policies inline at runtime. Over the past year, Microsoft Foundry has emerged as a cornerstone for enterprises building and deploying homegrown agents at scale. Organizations across industries are using Foundry to move beyond experimentation and into production, creating AI agents that can reason, invoke tools, access enterprise data, and automate complex workflows.

The Hidden Risk of SaaS Integrations Navigating the Cloud Security Labyrinth Need Help Navigating the Labyrinth?

It’s tempting for organizations to let employees use their devices for work. It saves money, is convenient for users, and allows corporate network access from remote locations. However, “bring your own device” (BYOD) arrangements can lead to serious security risks compared to issuing company-owned devices. In this post, we’ll assess the main BYOD security risks and explain how you can prevent them.

Let’s talk about agent skills. As the AI agent ecosystem matures, we’re seeing a major shift in how users equip agents to run automated workflows. While robust protocols such as MCP exist to handle complex system integrations and authentication, skills have emerged as the go-to, low-friction way to shape an agent’s day-to-day behavior. Skills are extremely easy to adopt. In many cases, they are simply lightweight files that orchestrate scripts and commands.

Tokenization and encryption both protect sensitive data, but they work differently and reduce different risks. Tokenization removes sensitive values from operational systems and can shrink compliance scope; encryption keeps data present but unreadable without keys. Choosing the right approach depends on data type, access patterns, and regulatory requirements like PCI DSS and HIPAA. Encryption and tokenization both protect sensitive data, support compliance, and appear in every major security framework.

Hybrid cloud environments rarely start as a carefully planned architecture. Most organizations reach that point gradually. A few workloads move to the cloud first. Then development teams adopt additional cloud services. Meanwhile, critical systems continue running on-premise because they cannot easily migrate. Over time, the result is an enterprise hybrid cloud environment that spans multiple infrastructure layers. From a business perspective, this flexibility is useful.