Start with your evidence.
Cloud security findings, SIEM events, asset ownership, and service dependencies establish the case.
DESIGN PARTNER PROGRAM AI SECURITY AGENTS
Close the exposure.
Prove the fix.
We’re building AI security agents for cloud remediation, connecting validated exposures, approved changes, and verified outcomes.
For cloud security teams. Every change should carry its reasoning, its authority, and its proof.
RGB AGENTS IN ACTIONSee the path.
See the path.
Watch it close.
Red tests the exposure. Blue connects the evidence. Green proposes a fix. Approval and verification remain separate.
APPLICATION / IDENTITY / CANARYIllustrative simulation · Synthetic environment
The animation illustrates the workflow using synthetic data. No cloud actions are performed. Try the interactive product demo →
01 Evidence before action02 Approval of the exact change03 Verification beyond execution
WHERE COTTON FITS
Your tools.
A connected path to closure.
We’re building a workflow that connects the finding to the change and its outcome across your existing systems.
Keep the decisions connected.
Carry the reviewed change, bounded approval, observed execution, and fresh outcome checks through the case.
Use the right execution path.
Route an approved change through the agreed workflow, then retain evidence in the operational record.
Help shape the integrations around your team’s tools and process through a design partnership.
FOR SECURITY LEADERS & ARCHITECTS
Put the workflow
to the test.
Practical guides and templates for evaluating AI security workflows, approval controls, and remediation outcomes.
PHP REMEDIATION · AWS CHECKLIST
The update is available. Prove the fix.
Identify affected PHP workloads, coordinate the change, and verify both the deployed patch and application behavior.
ENTERPRISE ADOPTIONAutonomous SOC & AI SOC
What should actually be autonomous? Compare SOC automation, agentic workflows, and the controls to evaluate.
REMEDIATION & ASSURANCEAutomated security remediation
Explore remediation workflows and ten tests for AI security agents, with an editable evaluation worksheet.
WORKED CASE & TEMPLATEProve a cloud fix worked
Follow a public-access change through approval, execution, and both outcome checks. Take the closure template into your next review.
AWS POLICY REVIEW & WORKED EXAMPLEReview a permission change
Compare IAM policies against the work your services must preserve. Copy a shared-role example and download its request tests.
PERMISSIONS & APPROVALWhat may an AI agent do?
Decide what an agent may read, propose, and change, and when it needs fresh approval.
QUESTIONS WORTH ASKING
How Cotton fits
your workflow.
What would Cotton add to our existing SOAR?
We’re building Cotton to reduce the work of connecting exposure evidence, precise approvals, and security and service verification across a remediation workflow. A design partnership would evaluate that approach alongside your existing SOAR and change process.
Would agents have permission to change production?
Our approach separates a proposed change from its approval and execution. A pilot should begin with an authorized test environment and explicitly bounded permissions. Production access would require evaluation of identity, isolation, revocation, recovery, and operational controls.
What makes verification independent?
The verifier needs separately governed evidence and authority to challenge the executor’s claimed success. A separate agent name or model prompt alone does not provide that independence. Vendor independence, role separation, and verifier independence are distinct properties.
What happens if the security check passes but the service breaks?
The case stays open. A service regression requires investigation and an authorized recovery decision. Missing evidence likewise remains inconclusive. The interactive product demo lets you explore both situations.
What can I use today?
Our design partner program is an opportunity to shape and evaluate Cotton with us. You can explore the workflow simulations and technical guides today. The production service and connectors are not generally available; evaluation scope and access would be agreed with each partner.
DESIGN PARTNERS
Build the workflow
with us.
Help shape how security agents move from findings to verified fixes.
How the partnership works
We’re looking for cloud security teams with a recurring remediation workflow to improve. Together, we’ll define the use case, test the approach, and measure results against your current process.
What we’ll work on together
- Bring one recurring workflow and your operational constraints.
- Define success criteria and evaluate early iterations.
- Shape priorities through direct feedback.
A first conversation explores fit. It does not commit your team to a pilot or production access.
Thank you for reaching out.
Your inquiry has been received for review. We look forward to learning about your workflow.
Explore the remediation guideHow your inquiry is handled
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