DashSec is an AI-powered penetration testing platform that helps engineering and security teams run continuous, validated security tests against their web applications and APIs. It combines a cloud-based control plane with an in-network agent to perform staged penetration tests and deliver professional, evidence-backed reports. DashSec is designed for teams that need to test more frequently than traditional annual penetration testing engagements allow, without the scheduling overhead and cost of hiring external consultants. It is particularly suited for startup and mid-market engineering teams, security engineers managing application security programs, and development teams responsible for securing their own applications. The platform deploys a containerized agent inside the customer's network, enabling it to test internal applications and private APIs that external tools cannot reach. Tests follow a four-stage workflow where each stage builds on the findings of the previous one: Authentication discovery - maps login flows, OAuth configurations, JWT handling, session management, and multi-factor authentication mechanisms to understand how the application manages access Reconnaissance - identifies the technology stack, discovers endpoints and API routes, and maps the application's attack surface Exploitation - uses its understanding of the application's authentication, technology stack, and attack surface to select and execute relevant attack vectors. Rather than running a fixed set of checks, it can attempt any known vulnerability type, from common issues like SQL injection and XSS to more nuanced attacks like business logic flaws and chained exploitation paths Reporting - synthesizes findings into structured reports that include an executive summary, confirmed vulnerabilities with proof of exploitation, severity ratings, and actionable remediation guidance Each reported vulnerability includes evidence demonstrating that it was successfully exploited, rather than flagged based on signatures or heuristics alone. Reports are generated in both an in-application format and as downloadable PDFs suitable for sharing with engineering teams, leadership, and auditors. DashSec uses agentic AI to reason about discovered information and adapt its testing strategy as it progresses through each stage. This approach allows the platform to chain findings together and identify vulnerabilities that require multi-step exploitation paths, rather than testing each endpoint in isolation. Teams manage their targets, agents, networks, and test history through the DashSec web application. During a test, users can follow along in real time as the platform executes commands, analyzes responses, and reasons about what to try next. Stage-by-stage activity logs and current and historical reports are accessible from the application at any time.