Wiz has expanded its AI Application Protection Platform (AI-APP), which it introduced last month at RSAC, adding new capabilities designed to secure enterprise AI deployments across software development, agent platforms, cloud infrastructure, and edge environments.
The update expands coverage across Databricks, AWS AgentCore, Google Gemini Enterprise Agent Platform, Microsoft Azure Copilot Studio, Salesforce Agentforce, Cloudflare, Akamai, Vercel, and Google Cloud Apigee, while also launching Red Agent in public preview and introducing a new Technology Intel Center.
The announcement is centered on cybersecurity: extending visibility and remediation across increasingly complex AI environments as enterprises move AI systems into production.
The expansion reflects a broader operational challenge for enterprises adopting AI at scale. AI-assisted development tools, autonomous agents, and distributed infrastructure are accelerating software delivery while creating new security blind spots across cloud platforms, SaaS environments, APIs, and edge services.
Wiz is extending AI-APP deeper into cloud and AI infrastructure. New support for Databricks gives security teams visibility into where sensitive data resides, how it is classified and accessed, and how identities and infrastructure create exploitable risk. Expanded coverage for AWS AgentCore, Google Gemini Enterprise Agent Platform, Microsoft Azure Copilot Studio, and Salesforce Agentforce is designed to help enterprises monitor how AI agents interact with models, connected tools, and enterprise data.
The company also launched Red Agent in public preview, which Wiz describes as an AI-powered “intelligent attacker” designed to continuously discover and validate complex, logic-driven vulnerabilities by analyzing application behavior and adapting in real time. The launch reflects growing demand for security tools that can test increasingly dynamic AI applications beyond traditional vulnerability scanning.
Wiz is also pushing security controls earlier into the software development lifecycle as enterprises adopt AI coding tools. A new AI-BOM capability inventories AI frameworks, models, and IDE extensions including LangChain, GitHub Copilot, Gemini Code Assist, and Cursor, giving organizations visibility into AI tooling used across development environments. Wiz is also adding security guardrails that scan AI-generated code in platforms including Lovable, which the company said will be supported in May.
The company is also releasing remediation capabilities for teams using AI coding environments such as Claude Code and Cursor, allowing developers to analyze vulnerabilities and deploy fixes directly within their existing workflows.
Separately, Wiz launched Technology Intel Center, which centralizes new feature releases, migration updates, and end-of-life notices across cloud and AI providers. For customers using Wiz Cloud Cost, the feature also identifies potential cloud spending impacts tied to infrastructure changes.
Wiz’s broader strategy reflects how enterprise security platforms are evolving alongside AI adoption. As organizations deploy AI systems across development, infrastructure, and customer-facing environments, security teams increasingly need unified visibility across the full AI lifecycle—from code generation to runtime environments and edge infrastructure.