Agentic AI Security When AI Acts on Its Own: The New Threat Landscape of Agentic AI The arrival of Agentic AI marks a profound shift in how organizations must think about cybersecurity. Unlike traditional LLMs, which generate text and recommendations, Agentic AI systems can act — executing workflows, calling APIs, modifying configurations, analyzing systems, and making autonomous decisions. Dror Zelber |July 01, 2026
AI and User Experience Designing for Understanding in the Age of AI In our article, Inside AI SOC Xpert, we explored how AI can help security teams respond faster and make better decisions through real-time recommendations and contextual insights. Noy Cabel |June 30, 2026
Application Delivery Why High-End ADCs Matter More Than Ever For many years, evaluating an Application Delivery Controller (ADC) was relatively simple. Organizations focused primarily on throughput metrics: how much Layer 4 or Layer 7 traffic a platform could process. Avi Katz |June 29, 2026
Threat Intelligence When Machines Find What Humans Missed for Decades We have crossed into a volatile cybersecurity landscape where the traditional boundaries of vulnerability research have been fundamentally redrawn. Pascal Geenens |June 26, 2026
Agentic AI Security Radware & Dataiku: Securing and Governing Enterprise AI at Scale Enterprises are rapidly moving beyond GenAI into a new phase of agentic AI adoption, where autonomous AI agents, analytical pipelines, and generative systems actively participate in decision-making, operations, and customer engagement. Dror Zelber |June 25, 2026
Application Security When Bad Bots Nearly Outnumber Human Shoppers: Inside the 2026 E‑Commerce Bot Threat Report For years, the story of holiday web traffic was one of total bot traffic steadily claiming a larger share. In last year’s research we found that it crossed into the majority when total bot traffic outpaced human shopping traffic for the first time. Dhanesh Ramachandran |June 24, 2026
Application Security Security Policy: Full Control Over Your Application Security Configuration Security teams often need to update protections, validate changes, and roll those updates out across multiple applications without disrupting legitimate traffic. Etai Mandelbaum |June 23, 2026
Agentic AI Security 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
Agentic AI Security 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
Agentic AI Security 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
API Security AI Agents Create a New API Attack Surface For years, API security was mostly about discovery. Find the APIs, classify them, build the inventory, and understand what is exposed. Tzvika Shneider |June 11, 2026
Agentic AI Security 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