Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Research is what turns cybersecurity from a reactive scramble into a proactive discipline. It’s how security teams uncover new threats, pressure-test defenses, and understand the unintended consequences of innovation (especially as AI Agents reshape the attack surface).At Zenity, research isn’t a side effort. It’s how we build, challenge, and ultimately secure what’s next.

Microsoft’s Power Platform recently introduced an IP-based Firewall feature designed to restrict access to environments based on IP addresses.

Standing on stage at Microsoft Build, surrounded by innovators shaping the future in the era of AI Agents, I felt equal parts inspired and responsible. Inspired by the rapid momentum around AI, and responsible for raising a flag about something we don’t talk about enough - how we secure the very systems that are now acting on our behalf. This post isn’t a recap, rather a continuation, a chance to go deeper into the story I shared (and the one we’re still writing.)

As enterprises race to adopt AI Agents to drive productivity and innovation. We are excited to announce that Zenity and Microsoft Copilot Studio are joining efforts to enable full adoption of AI Agents. Together, Zenity and Microsoft Copilot Studio help organizations confidently build, deploy, and use AI Agents with built-in security and governance throughout the development and deployment process so they can accelerate adoption at scale.

In the ever-evolving landscape of AI, a new enabler has emerged that's quietly transforming how language models interact with the digital world: Model Context Protocol, or MCP. It may not be a household name yet, but if your organization is experimenting with AI agents, it's time to get acquainted. MCP is becoming the cornerstone of LLM integration - bridging the gap between isolated AI systems and the interconnected web of enterprise & client applications.

In the ever-evolving landscape of technology, the allure of AI tools and agents is undeniable. They promise enhanced productivity, innovative solutions, and a competitive edge. With more tools and platforms available that democratize the usage and creation of AI systems, there is a surge in AI tools that are being built, customized, and deployed for business operations. However, the gold rush for AI comes with significant risks that cannot be ignored.

More than 80% of Fortune 500 companies rely on ChatGPT Enterprise, not just as a productivity tool, but as a platform for building custom GPTs, leveraging knowledge files, and enabling collaboration through Canvas. As AI Agent adoption accelerates across every corner of the enterprise, business users are innovating faster than ever, often without security oversight.

While AI Agents introduce tremendous benefits to the enterprise, they are also automatically available to anyone to create, customize, and use. Similar to the citizen development revolution, as business users of all technical backgrounds are building and using powerful AI Agents to optimize productivity, there are distinct security and compliance risks that need to be accounted for.

As enterprises rapidly adopt AI Agents to enhance operations, the imperative for robust governance and security has never been clearer. We are pleased to announce Zenity's inclusion in Forrester's "The AI Governance Solutions Landscape, Q2 2025," recognizing leading vendors that assist enterprises in securing and governing their AI initiatives.

If you’ve started exploring how to secure AI agents in your environment (or even just reading about it), you likely already know that it’s not as straightforward as applying traditional AppSec practices. AI agents aren’t just another workload or API to monitor, they’re dynamic, semi-autonomous entities operating at the intersection of user intent, agent behavior, and enterprise systems. And not all AI agents are created equal or secure.