Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

According to the Wallarm Q1 2025 ThreatStats report, 70% of all application attacks target APIs. The industry can no longer treat API security as a sidenote; it’s time to treat it as the main event. NIST seems to be on board with this view, releasing the initial public draft of NIST SP 800-228, a set of recommendations for securing APIs.

Mike Wilkes has had a career many cybersecurity professionals could only dream of. An adjunct professor, former CISO of Marvel and MLS, member of the World Economic Forum, drummer, and board member at the National Jazz Museum in Harlem, his interests and achievements are as eclectic as they are impressive.

It must be the season for API security incidents. Hot on the heels of a developer leaking an API key for private Tesla and SpaceX LLMs, researchers have now discovered a set of tools for validating account information via API abuse, leveraging undocumented TikTok and Instagram APIs. The tools, and assumed exploitation, involve malicious Python packages - checker-SaGaF, stein lurks, and inner core - uploaded to PyPI.

AI security is one of the most pressing challenges facing the world today. Artificial intelligence is extraordinarily powerful, and, especially considering the advent of Agentic AI, growing more so by the day. But it is for this reason that securing it is so important. AI handles massive amounts of data and plays an increasingly important role in operations; should cybercriminals abuse it, the consequences can be dire.

In AI, as with so many advancing technologies, security often lags innovation. The xAI incident, during which a sensitive API key remained exposed for nearly two months, is a stark reminder of this disconnect. Such oversights not only jeopardize proprietary technologies but also highlight systemic vulnerabilities in API management. As more organizations integrate AI into their operations, ensuring robust API security has never been more critical.

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.