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.

In today’s fast-moving threat landscape, Hyperautomation is essential. But building workflows from scratch? That’s time you don’t have. That’s why we started with a library of pre-built templates, helping teams quickly configure security automation workflows. Templates made automation more accessible. Now, we’re taking the next step in that evolution and introducing Torq’s AI Workflow Builder. By harnessing the power of AI, we’re going beyond templates.

Consider a modern software application as a constellation of cities that dot the landscape. These cities are components such as databases, authentication services, business logic engines, and more. Requests travel between components carrying data just as citizens travel between cities carrying their belongings. The highways that connect the cities on this map are your APIs. Cities get the most attention, often receiving the security and protection they need.

Since the technological “birth” of Artificial Intelligence and ChatGPT, many people are wondering what on earth they would do without AI in their lives. Since July 2024 ChatGPT has had 200 million weekly active users worldwide and attracted nearly 2.5 billion site visitors. However, ChatGPT is not the only AI out there.

In a groundbreaking move, some of the world’s largest telecom operators—América Móvil, AT&T, Bharti Airtel, Deutsche Telekom, Orange, Reliance Jio, Singtel, Telefonica, Telstra, T-Mobile, Verizon, and Vodafone—are partnering with Ericsson to launch a new venture aimed at transforming how network Application Programming Interfaces (APIs) are accessed and used.

Foundationally, the OWASP Top 10 for Large Language Model (LLMs) applications was designed to educate software developers, security architects, and other hands-on practitioners about how to harden LLM security and implement more secure AI workloads. The framework specifies the potential security risks associated with deploying and managing LLM applications by explicitly naming the most critical vulnerabilities seen in LLMs thus far and how to mitigate them.

Businesses increasingly use cloud services like Google Workspace, Amazon Web Services (AWS), Hubspot, and Dropbox to improve work productivity and drive innovation. However, this accelerated shift to cloud platforms has exposed businesses to new security challenges, such as unauthorized data breaches and compliance violations. A Cloud Access Security Broker (CASB) is a powerful tool against these issues, delivering unmatched visibility and control over data to protect enterprises against these threats.