Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In early May 2025, Cisco released software fixes to address a flaw in its IOS XE Software for Wireless LAN Controllers (WLCs). The vulnerability, tracked as CVE-2025-20188, has a CVSS score of 10.0 and could enable an unauthenticated, remote attacker to upload arbitrary files to a susceptible system – but the real story is that this vulnerability drives home the persistent risks associated with hardcoded credentials, particularly JSON Web Tokens (JWTs), in network infrastructure components.

As businesses rely more on APIs, attackers are quick to turn that trust into opportunity. Among the most dangerous and difficult-to-detect threats are business logic exploits, which let cybercriminals manipulate legitimate functionality to gain unauthorized access, exfiltrate data, or disrupt operations. These attacks often slip past traditional defenses unnoticed, making them a growing concern for security teams.

We recently released The Rise of Agentic AI, our API ThreatStats report for Q1 2025, finding that evolving API threats are fueled by the rise of agentic AI systems, growing complexity in cloud-native infrastructure, and a surge in software supply chain risks, and uncovered patterns and actionable insights to help organizations prioritize risks and harden their defenses. Keep reading to find out more.

API security is no longer just a concern; it’s a critical priority for businesses. With APIs serving as the backbone of modern applications, they’ve become a primary target for attackers. While automated security testing tools help detect vulnerabilities, their limitations leave organizations exposed to evolving threats. Here’s where Threat Replay Testing (TRT) comes into play.

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.

Most organizations are using AI in some way today, whether they know it or not. Some are merely beginning to experiment with it, using tools like chatbots. Others, however, have integrated agentic AI directly into their business procedures and APIs. While both types of organizations are undoubtedly realizing remarkable productivity and efficiency benefits, they may not know they are putting themselves at a significant security risk.