The Cheapest Token Is the One You Never Send What we learned building AI-assisted root cause analysis on customer support archives — and why we stopped giving the model the data. Lior Weitsman |October 22, 2026
AI Threat Detection: The New Frontier of Application Security The attacker used to look like an attacker. A strange request. A known exploit. A suspicious IP address. Something security teams could recognize, investigate, and block. Today, the attacker can look much more legitimate. Rotem Elharar |October 15, 2026
MCP Is Becoming the Foundation of Agentic AI. Are Your MCP Servers Protected? Over the past decade, APIs transformed how applications communicate, integrate, and share data. Today, a similar transformation is underway in the world of AI. Dror Zelber |October 14, 2026
Agentic AI Protection for Claude Enterprise CLAUDE COMPLIANCE API | INTEGRATION Jyoti Kakatkar |October 02, 2026
Introducing Radware Agent Trust Management for the Agentic Internet AI agents are rapidly becoming a new channel for customers to interact with businesses online. They can navigate applications, research services, purchase products, and complete multi-step tasks on behalf of users. Dhanesh Ramachandran |September 29, 2026
Building Trust in the Age of AI Agents: 3 Questions for Businesses to Consider AI agents are changing how people interact with businesses over the internet. The increasing adoption of AI and the rapid development of agentic capabilities has led to people increasingly relying on AI agents to search for information, compare options, complete tasks, and take actions on their behalf. Dhanesh Ramachandran |September 23, 2026
Beyond Signatures and Sandboxes - Why Agentic AI Security Must Focus on Intent - Not Just Attacks When cybersecurity teams think about protecting AI systems, most naturally gravitate toward familiar concepts: vulnerabilities, CVEs, malware signatures, threat intelligence feeds, guardrails and exploit detection. Dror Zelber |September 22, 2026
Why AI Agents Are Creating a New Challenge for Digital Businesses Automated traffic has been part of the internet for decades, and over that time, businesses have evaluated it through a familiar lens. Legitimate bots delivered value, such as search engine crawlers, while malicious bots were associated with scraping, account takeover, fake account creation, fraud, and other unwanted activity. Dhanesh Ramachandran |September 15, 2026
Shady AI: When Approved AI Starts Acting Outside the Lines For years, cybersecurity teams have focused on stopping unauthorized technologies from entering the organization. Then came Shadow AI: employees, developers and business units adopting AI tools and deploying agents without the knowledge or approval of IT and security teams. Dror Zelber |August 31, 2026
Why AI Identity Governance Fails Without Runtime Agent Trust An AI agent can present a valid enterprise credential, operate within an approved role and still take a dangerous action. Anirudh K |August 26, 2026
Shadow AI: The Agentic Security Risk You Don't Know You Have For years, organizations have battled the challenge of Shadow IT: employees adopting unsanctioned applications and cloud services without IT approval. Today, a far more significant challenge is emerging - Shadow AI. Dror Zelber |August 12, 2026
The Exploitable Gap AI is making vulnerabilities easier to find and faster to weaponize. The harder problem is giving defenders the context, confidence, and control to respond at the same speed. Golan Yosef |August 11, 2026