Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Wallarm Research has just released a powerful new Nuclei template targeting a new kind of exposure: the Model Context Protocol (MCP). This isn’t about legacy devtools or generic JSON-RPC pinging. It’s about the protocol fueling next-gen LLM applications — and it’s already showing up exposed in the wild.

On March 25, 2025, NIST released the initial public draft of NIST SP 800-228, "Guidelines for API Protection for Cloud-Native Systems." The document provides a comprehensive framework for securing APIs in cloud-enabled environments. However, for organizations looking to align with these objectives, the tooling requirements may seem initially overwhelming. Fortunately, Wallarm helps streamline the process by integrating many of these recommendations into a single, cloud-native solution.

Agentic AI is transforming business. Organizations are increasingly integrating AI agents into core business systems and processes, using them as intermediaries between users and these internal systems. As a result, these organizations are improving efficiency, automating routine tasks, and driving innovation. But these benefits come at a cost. AI agents rely on APIs to access data and functionality from underlying systems. Without APIs, AI agents are useless.

Despite advancements in API security, access control vulnerabilities, such as broken object-level authentication (BOLA) and broken function-level authentication (BFLA), remain almost impossible to detect. This blog will explore why these vulnerabilities are so difficult to detect, the limitations of current security tools, and the implications for businesses relying on API-driven applications. It will also discuss potential approaches for improving API security posture.

Modern organizations are becoming increasingly reliant on agentic AI, and for good reason: AI agents can dramatically improve efficiency and automate mission-critical functions like customer support, sales, operations, and even security. However, this deep integration into business processes introduces risks that, without proper API security, can compromise sensitive data and decision-making.