Radware & MaiAgent: Partnering to Secure and Accelerate Agentic AI at Enterprise Scale Across industries, organizations are rapidly embracing Agentic AI — autonomous, goal driven AI agents capable of reasoning, taking actions, and orchestrating complex workflows across enterprise systems. Travis Volk |May 21, 2026
Why AI Guardrails Are Not Enough for Autonomous Agents For the last two years, organizations have relied heavily on LLM guardrails to secure their AI deployments. Prompt filtering, output moderation, jailbreak detection, and policy enforcement - many of them aligned with the OWASP Top 10 for LLM applications - have become standard practice. Dror Zelber |May 20, 2026
Why AI Security Posture Management (AI SPM) Is No Longer Optional As organizations accelerate their adoption of autonomous, agent driven AI systems, a fundamental reality is emerging: AI introduces a new class of risks that evolve faster than traditional security controls can keep up. Dror Zelber |May 13, 2026
The Importance of Pre-Integrated Agentic AI Solutions – Agents and Security from the get-go In the rapidly evolving landscape of artificial intelligence, the integration of Agentic AI Protection solutions with leading AI Agent providers such as Microsoft, AWS, Google, and ChatGPT is not just a technical necessity but a strategic imperative. Dror Zelber |May 05, 2026
Anthropic Claude Mythos and the End of Patch Centric Security When Anthropic unveiled Claude Mythos, the cybersecurity industry fixated on the headline: thousands of zero day vulnerabilities discovered autonomously, across nearly every major OS, browser, and software stack. Dror Zelber |April 30, 2026
From Newborn Models to Autonomous Agents: Why "House Rules" Aren't Enough Think of an AI model like a newborn child. At the beginning, it lives in a controlled environment, guided entirely by its parents, learning what is allowed and what is not. These early instructions, the “house rules” shape its understanding of the world. Rotem Elharar |April 29, 2026
Anthropic Claude Mythos and the 2026 Cybersecurity Landscape The emergence of Anthropic’s Claude Mythos model could mark a pivotal shift in the cybersecurity landscape, characterized by the transition from human-led research to machine-scale operations. Pascal Geenens |April 28, 2026
Unlocking a New Service Opportunity for SIs and MSSPs with Agentic AI Protection As enterprises rapidly adopt agentic AI technologies—ranging from desktop copilots to custom-built autonomous agents—the security conversation is fundamentally changing. Gilad Friedman |April 23, 2026
Why Agent & Tool Visibility Is Imperative for AI Security Posture Management As organizations accelerate their adoption of autonomous, agent‑driven AI, one truth is becoming undeniable: you cannot secure what you cannot see. Agentic AI systems already move far beyond the predictable, linear workflows of traditional software. Dror Zelber |April 15, 2026
The Rise of Shadow Agents: How Employees Are Deploying AI Tools Outside Security’s Control Shadow IT was about unsanctioned apps and spreadsheets. Shadow agents are far more consequential. Dror Zelber |April 09, 2026
The EU Delayed AI Guidance. Your AI Security Can’t Wait The European Union recently confirmed that its long-awaited guidance for high-risk AI systems will be delayed again, after already missing the 2 February 2026 deadline for Article 6 guidance on how to determine whether an AI system qualifies as high-risk. Dan Schnour |April 08, 2026
The Hidden Risk in Homegrown AI Agents: Why OpenClaw Changes the Equation Organizations everywhere are racing to build autonomous AI agents - not as experiments, but as core digital workers embedded across workflows, customer-facing channels, and internal operations. Dror Zelber |April 02, 2026