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
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
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.
Secure every layer of AI applications — infrastructure, data, access, models, agents, and applications — from code to runtime, across every environment you build in.
A new security operating model powered by AI agents that removes bottlenecks and enables teams to act at the speed of AI
Understanding and detecting AI-driven behavior across model, workload, and cloud
Identify real AI risk by connecting signals in context across the layers of 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.
Bring Wiz cloud security insights into your Notion workspace with Custom Agents — enabling automated reporting, investigation, and security workflows where teams already work.
Coordinated Multi-Agent Investigation and Remediation
1 exposed database. 35,000 emails. 1.5M API keys. And 17,000 humans behind the not-so-autonomous AI network.
Wiz Research teamed up with Irregular, a frontier AI security lab, to settle this once and for all.
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