When an active zero-day like the recent PHP2Shell vulnerability breaks, security tools light up within minutes, flagging critical production risks that demand an immediate fix. And while AI has accelerated how quickly vulnerabilities are discovered, fixing them still waits on human coordination.
However, implementing that fix extends far beyond the security team and becomes an organization-wide initiative. Security teams discover the risk, but they don't own the code, the infrastructure, or the deployment pipelines. Resolving the issue requires coordinating across three distinct teams, each with their own set of priorities:
Security: Wants to eliminate exploitable risk immediately.
Engineering: Wants to maintain shipping velocity without breaking dependencies or spending time figuring out the right fix.
Cloud / Platform Operations: Wants to preserve uptime and infrastructure stability.
With each team working in their own workflows and against their own roadmap, remediation becomes an expensive game of cross-departmental ping pong. Tickets bounce between teams, developers waste hours determining the environment-specific fix, and Mean Time to Remediation (MTTR) grows.
To close this gap, organizations need a bridge between runtime context and developer execution so fixing becomes automated and continuous. Here is how leading teams use Wiz Green Agent to eliminate the three core bottlenecks of remediation, the ROI they achieve, and how that work builds towards a self healing cloud.
The Three Bottlenecks that make remediation hard
Finding the right owner for the Issue
Before a team can investigate or fix a risk, they run into the first hurdle: who actually owns the vulnerable asset? In dynamic multi-cloud, hybrid, or AI environments, that answer is hard to come by. A production container might have been deployed through a shared pipeline, authored by an engineer who switched teams months ago, or spun up across accounts with missing tags and with a CMDB that’s out of date. When ownership isn't clear, Issues sit unassigned in backlog queues or bounce between Platform, DevOps, and AppSec teams trying to determine whose repo or service an issue belongs to.
That delay in finding an owner stretches out remediation cycles before work can even begin.
How Green Agent solves it
Green Agent eliminates the ownership guessing game by connecting signals from across your entire environment. By analyzing repository commit history, Wiz Project assignments, service catalogs, CMDB integrations, and cloud logs, Green Agent automatically identifies the Suggested Assignee: the specific developer or individual best positioned to act.
Security teams can assign the issue to the right owner with one click directly inside the Issue drawer, ensuring Issues land with the person who can actually merge the fix.
This analysis is how teams like Rogo, an enterprise AI platform for financial institutions, eliminate manual cross-team detective work while maintaining rapid development velocity across AWS and GCP:
With the Green Agent it's surfaced automatically in the Wiz Issue and is incredibly valuable in finding the right person so our developers can quickly remediate.
Eric Tu, Product Security Engineer, Rogo
Understanding risk at the root cause
When a critical security Issue hits a developer’s queue, they want clear, actionable answers on what they need to fix, where it lives in code, and how they need to fix it so they can get back to shipping new features. Getting to those answers starts with tracing it back from runtime to code to understand the root cause.
That means confirming the workload is actually exposed, verifying the vulnerable package is reachable, and locating the originating repository, Dockerfile, or commit that introduced it. Doing that forensic legwork by hand for every alert is slow and repetitive, and at cloud scale, with AI pushing more code into production every week, it's where the bulk of triage time goes before the fix can begin.
How Green Agent solves it
Green Agent automates that entire investigation under the hood. For each Issue, it reasons across the Wiz Security Graph to evaluate runtime exposure, identity access, and code-to-cloud mapping to understand the root cause. It confirms whether the risk is truly exploitable and recommends whether to remediate or adjust the severity to keep developers focused on high-priority risks, then pinpoints the exact file and line in the source code responsible for the vulnerability.
As a result of Green Agent’s AI investigation engine, Fireblocks, the digital asset and blockchain infrastructure provider, cut daily operational triage time by more than 70% and now reaches same-day resolution on critical risks.
Green Agent explains the full context; it shows us all of our workloads and the exact remediation path for any issue. All the remediation paths are really clear... Before Red Agent, Green Agent, and the Cloudflare integration, we used to have manual processes for triage. Now, we get clearer findings and faster remediation that reduce the amount of manual hours of operation needed.
Roy Weiss, Principal DevSecOps, Fireblocks
Turning alerts into actionable fixes for developers
Even with the right owner assigned and the root cause identified, the final friction point is execution: turning that Issue into merged code.
Handing an engineer an alert with a link to a generic CVE bulletin forces them to context-switch away from their sprint, research potential patches, and figure out how to write the fix without breaking existing dependencies. Developers are focused on building and shipping product features; for remediation to move at the speed of AI engineering, the specific environmental fix has to meet developers directly in their everyday workflows.
How Green Agent solves it
Green Agent closes that loop by generating prescriptive, environment-specific remediation. It provides code or Terraform changes needed down to the exact line, and surfaces 1-click Pull Requests or handoffs to coding agents so developers can simply review, validate, and merge. For teams building with AI, Green Agent also exposes its remediation context via API and the Wiz Model Context Protocol (MCP) server, allowing developers to pull Green Agent’s remediation recommendations directly inside their agentic IDEs to accelerate fixing.
By meeting developers where they work and removing the manual research burden, project44, the global supply chain visibility platform, accelerated their remediation velocity by 10x while keeping engineering focused on roadmap priorities:
AI has enhanced coding velocity for engineers; the Green Agent from Wiz offers a similar increase in velocity for security engineering work.
Matthew Blackert, Security Operations Manager, project44
Our Wiz enablement with Engineering showed us what's possible when you remove the noise: engineers fixing real risk instead of validating false positives.
Mihajlo Jankovic, Security Operations Analyst II, project44
Closing the Remediation Gap
Remediation speed is no longer limited by how fast security can find risks, it’s defined by how smoothly security context converts into developer action.
By eliminating the context gap, automating ownership attribution, and delivering 1-click code fixes, Wiz Green Agent transforms remediation from a cross-team tax into an automated, closed-loop workflow.
Learn more about Green Agent in our documentation (login required) or view a demo to see the ROI Green Agent could have on your environment.
