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.

The landscape of how business gets done at the enterprise level is changing dramatically. At Zenity, we have always believed in the transformative power of business-led development. Since our inception in 2021, our mission has been to empower business users with the tools they need to innovate and drive productivity, while ensuring security teams have robust security and governance measures in place.

Financial institutions must adhere to stringent regulations set forth by the Federal Deposit Insurance Corporation (FDIC) to ensure the security and confidentiality of customer information. Title 12, Chapter 3, Subchapter B, Part 364 of the Code of Federal Regulations is particularly important, outlining the standards for information security that these institutions must follow, especially regarding the handling of customer information and data.

The Zenity Labs team has discovered that non-administrator users can modify existing flows that were connected to Einstein by an administrator, influencing Einstein without having the necessary permissions to edit it directly. In doing so, bad actors can easily insert malicious actions into flows that are triggered by business users throughout the enterprise, including phishing attacks, data exfiltration, and more.

Today, we are excited to announce a significant milestone in our journey to secure enterprise copilots and low-code development platforms by launching our new product; the Zenity AI Trust Layer. This new offering provides full security and governance control for enterprise copilots, and in the first step is focused on Microsoft 365 Copilot. The use of enterprise copilots is undeniably a story in low-code application development.

Salesforce has revolutionized the way businesses operate by providing a robust platform that empowers anyone to harness customer and enterprise data and build their own applications, reports, and dashboards.

As more and more companies adopt low-code platforms and launch AI applications, the need for proper data security has never been greater. While it’s true that low-code platforms give users the freedom to develop powerful AI solutions with minimal programming knowledge or experience, this same level of flexibility also inadvertently exposes applications to potential data breaches.

AI has completely changed how we live, work and play. With its unparalleled efficiency, ongoing learning abilities and its detailed precision, it makes short work out of what used to be more complex and cumbersome tasks. Although AI systems are incredibly powerful and only growing in capacity and scale, they’re not without their challenges. Like other types of programs and infrastructures, AI is not immune to vulnerabilities and security issues.