The landscape of artificial intelligence (AI) governance is undergoing significant changes, particularly as it relates to the rise of AI Agents—autonomous systems that can independently make decisions and execute tasks. Recently, a key executive order on AI safety was rescinded, which previously required developers to share safety test results with federal agencies and mandated comprehensive assessments of AI-related risks.

2024 was a year unlike any other—a year of transformation, resilience, and immense progress. Despite the challenges our team faced, including the impact of the war in Israel, we stood strong, united by our mission to secure AI Agents everywhere, and focusing on providing impactful value to our customers and partners. Together, we laid the foundation for the next wave of innovation, enabling enterprises to embrace this revolutionary technology with confidence and security.

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.