From Concept to Context Engine: How Wiz Built AI-Powered Data Discovery
Inside the multi-agent pipeline and feedback loops that turned a bucket scanner into a context engine.
Dan Segev
Product Technical Expert at Wiz
Dan Segev의 게시물
Introducing Wiz AI Application Protection Platform (AI-APP)
Secure every layer of AI applications — infrastructure, data, access, models, agents, and applications — from code to runtime, across every environment you build in.
AI Runtime Threat Detection: From Input to Real-World Impact
Understanding and detecting AI-driven behavior across model, workload, and cloud
Understanding and Reducing AI Risk in Modern Applications
Identify real AI risk by connecting signals in context across the layers of AI applications.
Inside Grammarly’s AI-driven automation with the MCP Server for Wiz
Meet the system that cut manual triage times by 90% and enables engineers to focus on strategic thinking.
Wiz MCP Server Now Available in the new AWS Marketplace AI Agents and Tools category
Improve security posture and remediate risks faster using natural language workflows.
Introducing the MCP Server for Wiz: Smarter AI Context, Stronger Cloud Security
Unified model context, real-time security answers, and a faster path to remediation.
Key Takeaways from the 2025 State of AI in the Cloud Report
From DeepSeek adoption to impact on security and governance.