Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Many tech professionals see integrating large language models (LLMs) as a simple process -just connect an API and let it run. At Wallarm, our experience has proved otherwise. Through rigorous testing and iteration, our engineering team uncovered several critical insights about deploying LLMs securely and effectively. This blog shares our journey of integrating cutting-edge AI into a security product.

Nestled in a log cabin high in the Rocky Mountains, Rick Bohm starts his day the same way he’s approached his career: intentionally, with a quiet commitment to learning and action. Boasting more than three decades of cybersecurity experience, Rick has watched tech evolve from dial-up ISPs to advanced AI-driven security architectures – and through it all, he’s focused on one enduring mission: protecting data, organizations, and people.

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.