AI Security October 6, 2026 Check Point PromptGuardX: Securing the Files AI Agents Trust Key Highlights Prompt injection is becoming an execution risk. Instructions hidden in external content can ...
AI Security September 28, 2026 Goals Are Not Enough: Securing AI Agents with NVIDIA OpenShell In this article An agent’s goal rarely says how the agent may reach it, and ...
AI Security September 24, 2026 A Decision Model Breaks Like Any Other Language Model: A First Look at Jev A new kind of AI model returns decisions instead of text. We spent a day ...
AI Security September 24, 2026 Can We Control Every AI Agent Before It Becomes Our Next Privileged Insider? AI agents are moving into the enterprise much faster than most security programs were designed ...
AI Security September 23, 2026 Workforce AI Security Policy Management Is Now Conversational In this article The new Workforce AI MCP is Check Point’s own Model Context Protocol ...
AI Security September 21, 2026 No Attacker Required: What a Two-Day Hackathon Taught Us About Agent Security In this article Nineteen Check Point AI Security R&D teams spent two days on one ...
AI Security September 17, 2026 AI Models Broke Their Own Containment: Key Findings from the July-August 2026 AI Threat Landscape Between mid-July and early August 2026, models being evaluated internally by OpenAI, Anthropic, and Meta ...
AI Security September 15, 2026 Synchronous Control Monitoring: Preventing Harmful Agent Actions in Real Time We ensure alignment and control in agents using synchronous control monitoring. Our model oversees agent ...
AI Security September 3, 2026 Check Point Brings OpenAI Daybreak Models Across Its Security Platform to Help Defenders Find, Validate, and Remediate Risk Three months ago, Check Point and OpenAI began expanding our work together through Daybreak, OpenAI’s ...
AI Security September 2, 2026 AI Observability Must Evolve for the Agentic Era In this article Traditional observability tells you whether software worked. For AI agents, the harder ...
