Wiz has significantly expanded its AI Application Protection Platform, extending security coverage across cloud environments, AI development tools, and edge infrastructure. The company announced these updates alongside Google Cloud Next, reinforcing its commitment to addressing emerging risks in AI-driven ecosystems.

To begin with, Wiz has broadened its platform to secure AI coding tools, agent studios, multicloud services, and internet-facing edge systems. This move reflects the growing complexity of modern IT environments, where organizations increasingly operate across hybrid and distributed infrastructures. As part of the update, Wiz introduced Red Agent in public preview, an advanced AI system designed to identify and validate complex vulnerabilities by simulating attacker behavior.

Notably, Wiz has also added support for Databricks, enabling organizations to gain deeper visibility into sensitive data locations and better understand how identities, infrastructure, and access patterns contribute to security risks. Furthermore, the platform now integrates with leading AI development environments such as AWS Agentcore, Gemini Enterprise Agent Platform, Microsoft Azure Copilot Studio, and Salesforce Agentforce.

At the same time, Wiz continues to strengthen its multicloud capabilities by expanding support across platform-as-a-service environments. As businesses increasingly rely on a combination of cloud, SaaS, and on-premise systems, this unified approach aims to provide consistent security visibility and control.

A central highlight of this release is the introduction of Red Agent. This new capability builds on Wiz’s earlier AI-APP platform, which focuses on securing AI applications from development through runtime. Alongside Red Agent, the company continues to offer Blue Agent, which is generally available, and Green Agent, currently in public preview. Together, these tools aim to address the evolving threat landscape, where AI models and autonomous agents interact with live data and critical systems. Wiz emphasizes that this shift increases the impact of common security issues such as misconfigurations, excessive permissions, and unpatched vulnerabilities.

In addition, Wiz launched the Technology Intel Centre, a new feature that consolidates updates on feature releases, migrations, and end-of-life notices across cloud and AI providers. This capability helps organizations quickly identify which resources are affected by external changes and, for those using Wiz Cloud Cost, assess potential impacts on cloud spending.

Meanwhile, Wiz is also tackling risks introduced by AI-assisted development. According to Wiz Research, 20% of real-world applications built using AI coding tools contain significant security issues, including broken access controls and exposed data endpoints. To address this, Wiz has introduced three new features within Wiz Code.

First, AI-BOM creates an inventory of AI frameworks, models, and development tools used across an organization. It can detect technologies such as LangChain, Gemini Code Assist, GitHub Copilot, and Cursor, helping reduce “shadow AI” usage. Second, Wiz has implemented security guardrails that scan AI-generated code in tools like Lovable before it is committed, ensuring compliance with organizational policies. Third, the platform introduces remediation capabilities with pre-built skills for environments such as Claude Code and Cursor, allowing AI agents to analyze vulnerabilities and apply fixes directly within developer workflows.

Beyond development, Wiz has expanded its visibility into edge environments through integrations with Cloudflare, Akamai, Vercel, and Google Cloud Apigee. These integrations bring DNS configurations, API gateways, and front-end deployments into the Wiz Security Graph, enabling security teams to connect risks across layers.

As a result, organizations can now map vulnerabilities from edge services to deeper infrastructure components, ensuring a more comprehensive view of risk. This expanded coverage reflects how modern enterprises operate across dispersed environments, where unified visibility is essential.

Wiz said its objective is to give customers coverage “from the first line of AI-generated code, through AI and agent studios, all the way to the edge of the cloud.”

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