Agentic AI Security 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
Agentic AI Security 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
Agentic AI Security 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
Agentic AI Security 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
Agentic AI Security 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
Agentic AI Security 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
Agentic AI Security 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
Agentic AI Security 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
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