In 2024, 98.9% of AI-related CVEs were also API-related. As AI adoption grows, the attack surface explodes. API security and AI security are now inseparable. Learn more in the 2025 API Security Report.
Wallarm lets you upload OpenAPI/Swagger specs and block anything that falls outside of the expected behavior. It's called Positive Security Enforcement, and it works. Control your API behavior with precision.
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.
Not all attacks are obvious. Some happen slowly, over time. Wallarm’s API Abuse Detection tracks abnormal user behavior to stop stealthy threats. Get ahead of attackers before they exploit your logic.
Wallarm scans your external environment to identify APIs across all protocols — including undocumented or insecure ones. API Discovery helps security teams gain real-world visibility into their ecosystem.
Most orgs don’t even know how many APIs they have. And if you can’t see them — you definitely can’t secure them. Wallarm shows why API visibility is the foundation of modern protection.
Traditional tools can't stop API attacks — Wallarm can. Our platform goes beyond observability to detect and block malicious API behavior in real time. Discover how Wallarm keeps your APIs secure where other tools fall short.
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.