Bring Dast
to LangChain

Integrate the robust dynamic application security testing (DAST) capabilities of StackHawk directly into your conversational AI. Empower your engineering team to monitor system vulnerabilities, initiate complex scans, and orchestrate proactive security protocols without relying heavily on static dashboards. Connect securely to your workspaces, instruct your AI to assess ongoing security threats, and automatically classify alerts through a natural language interface designed to accelerate risk remediation across modern CI/CD pipelines.

What you can do

• Automated Scanning — Programmatically initiate comprehensive security evaluations across your environments utilizing run_scan, and halt operations securely targeting specific execution UUIDs via stop_scan.
• Risk Assessment — Effectively audit environments by listing operational scans with list_scans, or retrieve deep vulnerability reports invoking get_alerts targeting specific scan iterations.
• Application Management — Catalog active software deployments monitored by StackHawk utilizing list_applications, and manage organizational parameters inspecting environments directly via list_environments.
• Triage & Operations — Authenticate securely establishing a valid operational bearer token with login, and instruct the AI to accurately qualify, dismiss, or assign statuses prioritizing critical mitigation efforts using triage_alert.

How it works

1. Install the StackHawk MCP module configuring it directly with your active AI assistant.
2. Supply your proprietary StackHawk API Token to authenticate requests safely within the MCP setting.
3. Instruct the AI: "Retrieve the most critical security alerts from the last scan of our 'Production-Core' application, and triage any false positives."

Who is this for?

• DevSecOps Engineers — Streamline and enforce secure software integration effortlessly instructing the system to perform real-time verification analysis dynamically.
• Engineering Leaders — Monitor organizational compliance metrics easily interacting through language commands retrieving holistic cross-application threat landscapes.
• Backend Developers — Quickly identify security regression issues caused by newly deployed microservices parsing scans directly in the development terminal.