Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI agents are rapidly transforming how software is accessed, operated, and integrated, such as automating workflows, calling APIs, and interacting with tools and SaaS platforms on behalf of users. This paradigm unlocks powerful new capabilities, but it also raises urgent questions about how sensitive data, especially credentials and secrets, should be managed.

SaaS sprawl and shadow IT create significant security vulnerabilities, exposing organizations to unmanaged apps, unauthorized access, and compliance risks. It’s simply not enough to secure access to the applications you’re actively managing. You also need to secure everything else. That’s one of the reasons we acquired Trelica earlier this year. Organizations must be capable of identifying and managing applications that are used outside of IT and security’s purview.

Developers now chart courses through environments as dynamic and unpredictable as open skies, plotting efficient courses through shifting clouds of technology to reach ambitious goals. Increasingly, AI assistants are copilots on these journeys—streamlining workflows, reducing repetitive tasks, and enabling teams to navigate more complex terrain with speed.

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Microsoft has now launched the public preview of the Azure DevOps Model Context Provider (MCP) Server in a brave attempt to change developer productivity. With this newly introduced capability, GitHub Copilot in Agent Mode can directly access a developer’s Azure DevOps project data and allow the developer to interact with its data and functions via the natural language commands provided by the Copilot, within the developer’s coding environment, such as Visual Studio Code or Visual Studio.

As generative AI revolutionizes how we write software, it’s also reshaping how we secure it. Tools like GitHub Copilot and ChatGPT now allow developers to write functional applications with just a few prompts. This growing trend, dubbed “vibe coding,” represents a fundamental shift in development philosophy: developers rely on AI-generated code and focus more on ideas than implementation. This unlocks speed and creativity, but it also exposes new and serious security risks.