Next week marks a pivotal moment for Zenity as we gather for our Sales Kickoff (SKO). While SKOs are traditionally about aligning teams on goals and strategies, ours represents much more than that. It’s a celebration of the massive growth in the AI Agent space, the opportunities it creates, and our recommitment to supporting customers as they navigate this transformative and increasingly security-conscious era.

In the rapidly evolving landscape of artificial intelligence (AI), the development of AI Agents has become a focal point for enterprises… nearly all of them. According to recent IBM research, 99% of respondents are exploring or actively developing AI agents. This surge in interest also serves to underscore the necessity for secure AI agent development.

In today’s rapidly evolving digital landscape, the ability to harness the power of AI is becoming increasingly crucial for businesses. Within Microsoft Fabric, Microsoft recently added capabilities for building AI Skills, making it easier than ever for business users to create and integrate intelligent capabilities into your workflows to answer questions over lakehouse and warehouse tables. AI Skills are basically LLM engines that simplify interactions with data.

In the ever-evolving landscape of cybersecurity, the use of open-source red teaming tools has become indispensable. These tools not only raise awareness about potential vulnerabilities but also encourage security teams to think like attackers so they can begin the process of protecting their organizations against them. By simulating real-world attack scenarios, organizations can better understand their security posture and proactively address weaknesses.

Last week, Google launched Project Mariner, an AI Agent built for the browser, based on the updated Gemini 2.0. Project Mariner is built on top of Google Gemini and can be used to browse the web on your behalf, taking commands from within a Chrome extension and performing autonomous tasks on your behalf.

Low-code development platforms have revolutionized the way organizations build and deploy applications by enabling rapid innovation and empowering citizen developers. However, this democratization of app creation brings new security challenges that traditional security approaches struggle to address. As businesses increasingly rely on low-code solutions, automating security becomes crucial to maintain an adequate defense against evolving threats.

The rapid adoption of AI agents and copilots in enterprise environments has revolutionized how businesses operate, boosting productivity and innovation. We continue to see more and more innovation in this space, between Microsoft Copilot continuing its dominance, and with Salesforce Agentforce recently announced, business users of all technical backgrounds can now even build their own AI agents that act on our behalf.

AI Agents are revolutionizing enterprise efficiency, automating decisions, and enhancing capabilities. But while these agents drive operational improvements, they also introduce unique security challenges. Traditional silos often hinder effective risk management.

AI Agents have become indispensable in modern enterprises, driving efficiency, innovation, and competitive advantage. These agents, which can perform tasks ranging from simple automation to complex decision-making, are transforming how businesses operate. The adoption of AI agents is widespread, with companies leveraging them to enhance customer service, streamline operations, and gain insights from vast amounts of data.

With AI moving faster than ever, businesses are embracing GenAI and Agentic AI to supercharge their development processes, enabling both technical and non-technical users to build, innovate, and automate. However, the need for security in this space has never been more critical. That’s where Zenity comes in and why I’m so excited to join the company, especially at a time of immense growth and expansion given our recent Series B funding.