A World Cup Playbook for Cyber Resilience: Defending Your Applications in the AI Era Every four years, the world unites around one of the most electrifying global events—the World Cup. Teams prepare for years, analyzing opponents, anticipating plays and building strategies designed not just to react, but to win. Radware |June 18, 2026
Protect First, Patch Safely: Closing the AI-Driven Exploit Window AI is changing the economics of cyber offense, especially across the vulnerability lifecycle. Security teams have always had to identify, prioritize, and remediate vulnerabilities, but AI tools are changing the speed and scale of discovery, analysis, and weaponization. Dan Schnour |June 17, 2026
AI Agent Visibility and the New Traffic Blind Spot The mix of traffic reaching enterprise applications is changing, and a growing share of it no longer fits the assumptions on which security solutions were built on. Up until a few years ago, bot management solutions operated on a straightforward premise: every incoming request was either from a human user or an automated bot. Dhanesh Ramachandran |June 16, 2026
The Invisible Supply Chain: How AI Agents Create New Third- Party Risk Without Human Awareness AI agents don’t just analyze information - they act. They browse the web, pull documents, call APIs, trigger workflows, and plug into marketplaces of connectors and plugins. Dror Zelber |June 10, 2026
From Prompt Injection to Mission Drift: The Emerging Attack Vectors Targeting AI Agents As organizations adopt Agentic AI at scale, attackers are already adapting their tactics. The shift from passive, text only AI to autonomous, tool enabled agents introduces a wide range of new attack surfaces. Dror Zelber |May 27, 2026
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