Outpost24 has embedded an AI agent directly inside its Scale DAST product, replacing fragile Selenium-based authentication scripts with a system that reads plain-language instructions and executes them at scan time, closing a persistent coverage gap in enterprise application security testing.

Authenticated scanning has long been a weak point in dynamic application security testing. Scripts written to simulate user login flows break frequently as applications change, leaving security teams with incomplete coverage. Outpost24’s AI agent addresses this by reading natural language instructions and executing the authentication flow at scan time in the same way a human tester would.

Broader Access Within AppSec Teams

A secondary effect of the change is organisational. Previously, maintaining authenticated DAST configurations required a narrow group of specialists with scripting expertise. With the AI agent handling authentication, configuration becomes accessible to the wider application security team.

The AI agent sits inside the scanner itself rather than as a separate orchestration layer. The authentication flow is executed at scan time as an integrated part of the scanning process, preserving accuracy without requiring manual handoffs between tools.

Part of a Broader AI Strategy

Outpost24 has positioned the Scale DAST update as part of a wider AI strategy rolling out across its platform through 2026. The company’s security testing platform is used by approximately 3,000 organisations across 65 countries, spanning vulnerability management, web application testing, and external attack surface management.