A Framework for AI Threat Readiness
AI models now find and exploit zero-days autonomously. This 4-pillar framework accelerates patching, analysis, and threat response.
#AI
Meet Wiz for M365: Bringing SaaS into the Security Graph
Secure Microsoft 365 and the cloud it powers — one platform, one graph, complete context.
Key Takeaways from the 2026 State of AI in the Cloud Report
How AI Adoption, Autonomy, and Attacker Innovation Are Reshaping Cloud Security
Wiz Code Week Recap: Securing AI Native Development
Providing Application Security teams with visibility and guardrails to secure agentic software development and the modern software supply chain
Closing the Security Gap in the Age of Agentic Coding
AI agents are writing more and more code. Ensure it's secure. Learn how Wiz Code plugins and the Green Agent bring machine-speed remediation to your AI-IDE.
Securing AI Applications From Inception to Deployment
Extending the Wiz AI APP into the code layer to detect AI-specific risks at inception, validate exploitability at runtime, and orchestrate remediation with agents that understand your codebase
Claude Mythos: Preparing for a World Where AI Finds and Exploits Vulnerabilities Faster Than Ever
Anthropic's new model can autonomously discover zero-days and develop working exploits. While access is currently limited to responsible actors, now is the time to strengthen response playbooks, reduce exposure, and incorporate AI into security programs.
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.
Introducing Wiz Agents & Workflows: Security at the Speed of AI
A new security operating model powered by AI agents that removes bottlenecks and enables teams to act at the speed of AI
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.
Seeing AI Clearly: Building Visibility Across Modern AI Applications
AI applications span models, agents, and cloud environments in ways traditional security tools weren’t designed to understand. Here’s why visibility breaks — and how a new, implementation-agnostic approach helps teams safely adopt AI.