Wallarm has released Agentic AI Protection, a new feature designed to secure AI agents from emerging attack vectors such as prompt injection, jailbreaks, and agent logic abuse. The feature extends Wallarm’s API Security Platform to actively monitor, analyze, and block attacks against AI agents.
AI agents are increasingly being integrated into customer service, development workflows, and business automation, but they also introduce new risks. Wallarm’s research found that 25% of security issues reported in Agentic AI GitHub repositories remain unfixed, with some taking years to resolve. These agents interact via APIs and are susceptible to attacks embedded in seemingly benign user input.
Wallarm’s Agentic AI Protection inspects both incoming queries and outgoing responses, applying behavioral and semantic analysis to identify suspicious patterns before they can compromise the agents or the systems to which they connect. “AI agents have quickly become essential to modern digital infrastructure, but their attack surface is poorly understood and rapidly evolving,” said Ivan Novikov, CEO and Co-founder of Wallarm.
Key capabilities of Agentic AI Protection include automated discovery of AI APIs, AI-powered analysis of interactions with AI agents, detection of multiple attacks, and blocking of system prompt leaks and agent manipulation. The feature also offers native integration with existing Wallarm deployments.
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Wallarm will showcase Agentic AI Protection at the RSA Conference 2025 in San Francisco, booth S-3125 at the Moscone Center. Agentic AI Protection will be generally available in Summer 2025 as part of Wallarm’s Advanced API Security platform.
Wallarm is a unified platform for API and agentic AI security deployed in enterprise production environments, delivering a complete inventory of APIs, real-time blocking, and patented AI/ML-based abuse detection.
