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Radware Unveils Agentic AI Protection Solution to Shield Enterprises from New Agentic Threats
Agentic AI Protection Solution is the industry’s first agentic security posture management solution that leverages patent-pending, automated, behavioral
About this update from Radware Ltd.
[{"type":"text","content":"Agentic AI Protection Solution is the industry’s first agentic security posture management solution that leverages patent-pending, automated, behavioral analysis to defend AI agents against bad actors\nMAHWAH, N.J., Feb. 03, 2026 (GLOBE NEWSWIRE) -- Radware® (NASDAQ: RDWR), a global leader in application security and delivery solutions for multi-cloud environments, today announced the launch of its Agentic AI Protection Solution, extending the Radware Platform into the rapidly growing AI security market. As organizations increasingly deploy autonomous AI agents to boost productivity and automate decision-making, Radware delivers a purpose-built defense against the unique and emerging risks of the agentic AI era. In January, Gartner Research forecasted worldwide AI spending will reach $2.5 trillion in 2026, including $51.3 billion dedicated to AI security solutions. “We have seen the AI security wave coming for many months, and knew we needed to support our customers in providing the security surrounding it,” said Roy Zisapel, president and CEO of Radware. “Our customers understand the dual nature of AI — they want the business benefits while recognizing the growing threat landscape. With decades of experience applying advanced algorithms to solve complex application security challenges, Radware is uniquely positioned to bring innovative AI security solutions to market.” Comprehensive Protection for the Agent Economy Most AI security approaches rely on static, software-based guardrails designed for governance, not for securing autonomous, tool-using AI agents at runtime. As agentic AI systems scale, these guardrails fail to keep pace. Radware’s Agentic AI Protection goes beyond guardrails, using external, algorithmic behavioral analysis to identify malicious intent and misuse in real time, providing protection aligned with the scale and complexity of agentic AI. Radware’s new solution is designed to address a broad spectrum of agent-specific security risks, including direct and indirect prompt injection attacks, tool abuse, human–agent trust exploitation, and unauthorized data access. The solution is built on four strategic pillars: Discovery and Visibility: Real-time identification of all AI agents—both homegrown and SaaS-based—and the tools and systems they access. Intent-Based Security: Advanced runtime behavioral algorithms t...