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
The Agentic Web Is Here — Are we ready for it? The Internet as we know it is seeing a massive change. Applications have sprinted from Web to APIs to be AI-powered - and are now transforming into being AI Agents & Autonomous AI Applications, meaning that the Web Economy is now transforming into an Agentic Economy. Karthik Raju |March 19, 2026
Why Agentic AI Is More Dangerous Than Traditional LLMs: Understanding Autonomy Risk Traditional LLMs generate text; Agentic AI generates consequences. The leap from predictive responses to autonomous action changes the risk equation dramatically. Dror Zelber |March 18, 2026