Connect APVISO with Asana

How APVISO Will Integrate with Asana

The upcoming APVISO Asana integration will bring vulnerability remediation into the project management platform that teams across your organization already use. For companies where Asana is the central hub for task tracking and project coordination, this integration eliminates the friction of managing security work in a separate system.

Task-Based Vulnerability Management

Each vulnerability discovered by APVISO's AI agents will be created as a task in your designated Asana security project. The task will include a detailed description with the vulnerability type, affected endpoint, severity rating, reproduction steps, and remediation guidance — all formatted for Asana's rich text editor.

Tasks will be organized into sections that map to your preferred workflow. A common configuration uses sections like "New Findings," "In Triage," "In Progress," "In Verification," and "Resolved." When APVISO creates a new finding, it lands in the "New Findings" section. Your security team triages it, moves it to "In Progress" when a developer is assigned, and APVISO automatically verifies the fix and moves the task to "Resolved" after a successful retest.

Custom Fields for Security Metadata

Asana's custom fields feature is ideal for tracking security-specific metadata. APVISO will populate custom fields for:

• Severity: Critical, High, Medium, Low — displayed as a color-coded dropdown
• Vulnerability Type: XSS, SQL Injection, Authentication Bypass, etc.
• CVSS Score: The numerical score for quantitative risk assessment
• Affected Endpoint: The specific URL or API route
• Remediation Status: Open, Fix In Progress, Fix Verified, False Positive

These custom fields enable powerful filtering and reporting within Asana. Create saved searches to find all open Critical findings, or build dashboards showing the breakdown of findings by type and severity. Asana's portfolio feature can aggregate these metrics across multiple security projects for an organization-wide view.

Due Date Assignment Based on SLAs

APVISO will automatically assign due dates to Asana tasks based on your configured SLA policies. For example, Critical findings might get a 48-hour remediation deadline, High findings get one week, Medium findings get two weeks, and Low findings get 30 days. These due dates appear on Asana's calendar and timeline views, making it easy for engineering managers to plan security remediation alongside other work.

When a due date approaches without the task being completed, Asana's built-in notification system alerts the assignee and project owner. Combined with Asana Rules, you can set up escalation workflows — for example, automatically reassigning overdue Critical findings to a team lead.

Multi-Project Organization

Organizations with multiple applications or teams can use separate Asana projects for different APVISO targets. APVISO's routing rules will direct findings to the correct project based on the target domain. For example, findings for the main web application go to the "Web App Security" project, while API findings go to the "API Security" project.

At the portfolio level, security leadership can view remediation progress across all projects in a single dashboard, tracking metrics like total open findings, average remediation time, and findings by severity trend.

Subtasks for Verification Workflow

Each finding task can include subtasks that guide the remediation workflow: "Reproduce the vulnerability," "Implement the fix," "Request code review," "Deploy to staging," and "Trigger APVISO retest." This structured approach ensures that engineers follow a consistent remediation process and that fixes are verified before being marked as complete.

The final subtask — triggering a retest — can be automated. When a developer marks the implementation subtask as complete, APVISO can automatically schedule a retest. The result is added as a comment on the parent task, closing the loop.

Integration with Asana Automations

Asana's Rules engine will work with APVISO findings to automate common workflows. Example rules include moving new Critical findings to the top of the section, auto-assigning findings to team members based on vulnerability type, sending Slack notifications when a finding's due date is approaching, and adding a comment when a finding is re-identified in a subsequent scan. This automation reduces the manual overhead of security triage and ensures consistent handling of vulnerabilities.