Maze Organic Growth Opportunities

A programmatic library of pages for every major CVE, focusing specifically on how to investigate and remediate them within cloud environments like AWS, Azure, and GCP. This play captures high-intent traffic from security engineers looking for immediate mitigation steps beyond generic descriptions.

Example Keywords

• CVE-2024-21626 remediation AWS
• is CVE-2023-4911 exploitable in containers
• CVE-2024-23897 mitigation steps
• how to patch CVE-2023-38545 in EKS

Rationale

Security teams often search for specific CVE IDs immediately after a scanner identifies them. By providing cloud-specific remediation steps and exploitability decision trees, Maze captures users at the peak of their intent cycle.

Topical Authority

Maze’s core product is built for vulnerability investigation and resolution. Providing deep technical analysis of CVEs in cloud contexts reinforces Maze's position as the go-to platform for agentic vulnerability management.

Internal Data Sources

Use Maze’s internal investigation playbooks, exploitability logic, and anonymized remediation runbooks to provide differentiated, expert-level content that generic AI cannot replicate.

Estimated Number of Pages

50,000+ (Covering KEV catalog and major cloud-relevant CVEs from the last 5 years)

A comprehensive directory of pages targeting specific cloud misconfigurations (CSPM findings) with step-by-step fix guides for both the cloud console and Infrastructure as Code (IaC). This play targets engineers tasked with closing security gaps in their cloud infrastructure.

Example Keywords

• how to fix public S3 bucket
• restrict security group 0.0.0.0/0 AWS
• IAM role trust policy too permissive fix
• disable public access storage account Azure
• remediate unencrypted RDS instance

Rationale

Misconfigurations are the leading cause of cloud breaches, and engineers frequently search for the exact steps to resolve them. These pages provide immediate value and lead naturally into Maze's automated resolution capabilities.

Topical Authority

As a platform that 'brings clarity to vulnerability management,' Maze is uniquely qualified to explain the business impact and technical fix for cloud exposures.

Internal Data Sources

Leverage Maze’s internal taxonomy of findings, severity drivers, and validated remediation snippets for Terraform, CloudFormation, and Bicep.

Estimated Number of Pages

5,000+ (Covering AWS, Azure, and GCP services across common security benchmarks)

A massive library of pages dedicated to individual cloud audit events, explaining their security significance and providing a triage checklist for analysts. This play captures long-tail traffic from SOC analysts investigating suspicious logs.

Example Keywords

• PutBucketPolicy CloudTrail meaning
• UpdateAssumeRolePolicy security risk
• CreateAccessKey alert triage steps
• Azure Activity Log RoleAssignmentCreated meaning
• GCP SetIamPolicy audit log investigation

Rationale

Security analysts often search for specific event names to understand if a log entry represents a benign action or a malicious pivot. Providing a 'what to do next' guide for each event builds trust with the technical user base.

Topical Authority

Maze’s agentic AI is designed to reason over these exact signals. Demonstrating that reasoning on static pages proves the platform's value to potential buyers.

Internal Data Sources

Use Maze’s agent investigation traces and event-to-risk correlation models to offer unique insights into how events connect to broader attack paths.

Estimated Number of Pages

10,000+ (Covering major audit events across AWS, Azure, and GCP)

Programmatic pages for every major alert signature from native cloud security tools like GuardDuty, Security Hub, and Microsoft Defender. These pages help users understand why an alert fired and how to resolve the underlying issue.

Example Keywords

• GuardDuty CryptoCurrency:EC2/BitcoinTool.B!DNS remediation
• Security Hub control EC2.8 fix
• Defender for Cloud alert remediation steps
• how to fix Security Command Center detector
• remediate GuardDuty UnauthorizedAccess:IAMUser/ConsoleLogin

Rationale

Users often copy-paste the exact alert name or ID into Google when they don't understand a finding in their cloud console. Maze can capture this traffic by providing the most helpful 'how-to-fix' guide on the web.

Topical Authority

Maze’s mission is to resolve cloud vulnerabilities; providing remediation guides for the industry's most common alerts is a direct extension of the product's core value proposition.

Internal Data Sources

Utilize Maze’s alert-to-root-cause mapping and internal 'resolution recipes' to provide more actionable content than standard vendor documentation.

Estimated Number of Pages

3,000+ (Covering all major native cloud security alert types)

A granular library of pages for individual cloud permissions and actions, detailing the security risks, potential abuse cases, and safer alternatives. This play targets identity-focused security queries that are often underserved by broad security blogs.

Example Keywords

• iam:PassRole security risk
• sts:AssumeRole best practices
• iam:CreateAccessKey abuse case
• Azure managed identity privilege escalation
• GCP service account impersonation prevention

Rationale

Identity is the new perimeter, and security teams are increasingly focused on granular IAM permissions. These pages attract users performing least-privilege audits or investigating potential privilege escalation paths.

Topical Authority

Maze’s ability to model complex identity relationships and 'reason' through permissions makes it a credible authority on IAM risk.

Internal Data Sources

Incorporate Maze’s internal permission-risk heuristics and graph-based relationship models to explain how one permission can lead to a full cloud takeover.

Estimated Number of Pages

30,000+ (Covering granular actions across AWS, Azure, and GCP IAM systems)

Improvements Summary

Refocus early-stage thought leadership and launch-style posts into an SEO-led vulnerability management cluster, with one commercial hub page and tighter keyword-to-page mapping. Prioritize quick wins by rewriting the “Hidden problem with CVSS” page to match definitional intent and adding internal links that route authority to the new hub.

Improvements Details

Update /blog/hidden-problem-with-cvss for “cvss vs cve” plus “cve severity”, “cve ratings”, and “cve scale” via a new title tag, above-the-fold definition, SERP-aligned H2s, a CVE vs CVSS table, and FAQ schema. Rework the AI agents and Meet Maze posts into evergreen pages targeting “ai vulnerability management” and “agentic ai vulnerability assessment” with a terminology section and one end-to-end triage walkthrough. Publish a /vulnerability-management/ hub targeting “ai vulnerability management” and “vulnerability management platform”, add 4–6 supporting posts (e.g., “EPSS vs CVSS”, “reduce vulnerability backlog”), and connect everything with consistent anchors and a related-reading module.

Improvements Rationale

Current traffic potential is limited because key pages skew toward announcements and ambiguous brand terms, while higher-value non-brand queries lack dedicated landing pages. The CVSS/CVE post has low-competition definitional keywords that can move from page 2 to page 1 with intent-matched structure and snippet-friendly elements. A hub-and-spoke cluster with consistent internal linking consolidates topical authority and improves rankings for commercial-intent terms like “ai vulnerability management” and “agentic ai vulnerability assessment”.