Modern cloud environments move faster than manual remediation workflows were designed to handle. As AI increases the speed and volume of threats, security teams need more than faster detection and prioritization. They need a faster path from validated risk to fixes that engineering can review, approve, and ship.

Upwind uses runtime context to help teams understand which risks are active, exposed, and most relevant to their environment. Green Agent, part of the Upwind Agentic Pack, extends that context into remediation by helping teams generate remediation plans, prepare reviewable fixes, and keep humans in control before actions move forward.

Upwind Green Agent

Prioritized Risk Still Needs an Execution Path

Remediation expertise is not the bottleneck. The challenge is moving from a prioritized finding to the right fix across code, infrastructure, identity, ownership, and CI/CD without adding more manual coordination.

A vulnerability may require a base image update, dependency change, or both. An exposed service may require an infrastructure-as-code change, authentication update, or owner review. An identity risk may require a least-privilege policy change that still preserves application function.

When teams repeat that work across high-priority findings, the bottleneck is not awareness. It is execution. Green Agent helps turn prioritized findings into remediation plans and reviewable changes, so security and engineering teams can move faster from validated risk to approved fix.

How Green Agent Supports Remediation

Green Agent can analyze findings across Upwind, including CSPM, vulnerabilities, API security, ASM, and identity, then trace the issue back to the relevant code, infrastructure, or configuration layer.

From there, Green Agent creates a remediation plan that explains what should change and why. That may include a Dockerfile update, dependency bump, infrastructure-as-code change, IAM policy update, exposure reduction, or pull request.

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Green Agent turns a prioritized finding into guided remediation advice, helping teams understand what to fix and how to move forward.

Teams can move from backlog review to validated remediation planning faster because Green Agent brings runtime exposure, business impact, ownership, and change context into the workflow. Before any write or execute action moves forward, Green Agent asks for human approval, so teams can accelerate remediation while keeping control over production changes.

Use Case: Generate a Remediation Plan for the Top 5 ASM-Prioritized Issues

A security team wants to reduce the highest-priority external risk in its environment, but manually reviewing every exposed asset, owner, and fix path slows action. Instead, the team prompts Green Agent:

“Generate a remediation plan for the top 5 ASM-prioritized issues.”

Green Agent reviews the highest-priority attack surface findings in Upwind and evaluates each issue in context, including exposure, reachable services, related vulnerabilities, APIs, identities, ownership, and potential impact. It then generates a remediation plan that explains what should be fixed first, why it matters, and which changes can reduce the most risk.

The plan may recommend closing an unnecessary public endpoint, tightening a permissive security group, updating an exposed, vulnerable workload, adding authentication to an API, or routing a fix to the right service owner. Each recommendation includes the context that teams need to review, approve, and move the change forward.

The outcome is a focused remediation plan for the highest-priority external risks, not another queue of disconnected findings. The team can move faster from attack surface visibility to action, while engineering gets clearer direction on what needs to change and why.

Green Agent Remediation Plan

Where Green Agent Fits in the Agentic Pack

The Upwind Agentic Pack brings purpose-built AI agents into the Upwind platform to help teams act on prioritized findings with runtime context. 

Each agent supports a different part of the security workflow: 

  • Choppy helps teams ask questions across their environment and connect to the right context or next step
  • Blue Agent supports investigation by analyzing alerts, logs, and runtime activity
  • Red Agent validates real risk by determining whether prioritized findings are exploitable, reachable, and connected to attack paths.
  • Green Agent carries that context into remediation. It turns prioritized and validated findings into remediation guidance, recommended changes, and reviewable fixes across cloud infrastructure, applications, and identities.

Together, the agents help teams move from understanding what matters to taking the next best action based on what is actually happening in their cloud environment.

Built With Approval Controls

Speed cannot come at the expense of control. Green Agent supports faster action while keeping approval in the workflow.

It can generate remediation advice, recommend next steps, and prepare changes for review. Before any write or execute action moves forward, the user approves it. This keeps remediation aligned to existing engineering workflows and gives teams control over what changes, when it changes, and how it moves forward.

Bring Agentic Remediation Into Cloud Security

Green Agent helps teams turn prioritized cloud risk into reviewable remediation. As part of the Upwind Agentic Pack, it connects runtime context, risk prioritization, root cause analysis, and approval-based remediation workflows so teams can move from finding to fix with more confidence.

Click here to learn more about the Upwind Agentic Pack.