Product Introduction
Definition
Vector by zauth is an advanced AI-driven penetration testing platform—specifically categorized as an Agentic Security tool—that automates the identification, exploitation, and remediation of web application vulnerabilities. Unlike traditional static analysis tools, Vector utilizes autonomous AI agents operating within isolated virtual machines to simulate real-world cyberattacks in real-time.
Core Value Proposition
Vector by zauth exists to democratize enterprise-grade security by replacing high-cost manual penetration tests and noisy static scanners with affordable, high-fidelity AI agents. Its primary objective is to provide "Proof, not guesswork," ensuring that every reported vulnerability is validated with a functional exploit. By offering a pay-per-scan model starting at $5, Vector eliminates the financial and temporal barriers of traditional security audits, making it an essential tool for developers who "ship fast" and need to "stay secure" without the $1,000+ price tags or multi-day wait times associated with legacy security consulting.
Main Features
Multi-Wave Autonomous Exploit Chains
Vector employs AI agents that operate in an isolated environment equipped with Chromium browsers, bash shells, and disposable accounts to simulate sophisticated attack patterns. The scanning process is structured into "Waves" to maximize coverage:
- Wave 1: Authentication & Injection: Focuses on credential-based vulnerabilities and server-side flaws like SQL Injection (SQLi) in API endpoints.
- Wave 2: XSS, AuthZ, & SSRF: Probes for Cross-Site Scripting, broken Authorization (AuthZ), and Server-Side Request Forgery by analyzing browser actions and HTTP request flows.
- Wave 3: Session & Privilege Escalation: Advanced logic testing to identify IDOR (Insecure Direct Object Reference) and token analysis.
Live Transparency and Evidence-Based Reporting
One of Vector’s most technical differentiators is its "Watch everything live" capability. Users can monitor every tool call, browser action, and network request as the AI agent executes them. This transparency is backed by verified findings; the platform only reports critical vulnerabilities if it can successfully generate a working exploit (Proof of Concept). Every report includes the exact curl command to reproduce the vulnerability, the status codes (e.g., 500 Internal Server Error vs. 200 OK), and the specific evidence of the leak (e.g., database rows returned via an injection).
One-Click Automated Remediation
Beyond detection, Vector provides a "One-click fix" feature. For every validated vulnerability, the platform generates a specific code diff. For example, if a SQL injection is detected in a Node.js/Express route, Vector suggests the exact code change to parameterize the query (e.g., transitioning from template literals to parameterized placeholders like $1). This allows developers to review the diff, merge the fix, and close the security loop immediately without manually researching remediation strategies.
Problems Solved
Pain Point: High False Positive Rates and Lack of Proof
Traditional static analysis security testing (SAST) often flags "potential" issues that turn out to be non-exploitable, leading to "alert fatigue" for development teams. Vector solves this by rejecting theoretical warnings and only highlighting "Verified" vulnerabilities that the agent successfully exploited.
Target Audience
- Full-Stack Developers & Startups: Specifically those using rapid-development platforms like Lovable, Bolt, or Replit who need instant security validation.
- Security Engineers: Looking to automate routine DAST (Dynamic Application Security Testing) tasks.
- CTOs & Engineering Leads: Who require pentest-grade results for compliance or safety without the overhead of enterprise sales calls and annual contracts.
Use Cases
- Pre-Deployment Security Audit: Running a "Deep Scan" before merging a major feature involving authentication or sensitive data handling.
- Continuous Security for Rapid Shipping: Developers building with AI-generated code (Agentic Internet) use Vector to ensure the generated code doesn't contain critical flaws.
- Affordable Compliance: Small teams needing a penetration test report to prove security posture to stakeholders or partners without a $10,000 budget.
Unique Advantages
Differentiation: Automated Agentic Logic vs. Static Scanners
Traditional tools like Snyk or Burp Suite require significant manual configuration or only scan code patterns. Vector acts as a "hacker in a box." It doesn't just look for "bad code"; it interacts with the application like a human attacker would—filling out forms, clicking buttons, and chaining multiple small misconfigurations into a critical exploit.
Key Innovation: The Pay-Per-Scan Economy
Vector disrupts the "Security-as-a-Subscription" model. By implementing a "Pay per scan" system with budget caps, it aligns costs directly with usage. A Quick Scan for $5 provides surface-level checks (CORS, subdomains, basic injection), while a $19 Deep Scan provides a full multi-pass pentest with exploit chains. Unused credits are refunded, making it the most cost-efficient professional security platform available.
Frequently Asked Questions (FAQ)
How is Vector by zauth different from a manual pentest?
A manual pentest is conducted by human consultants over several days or weeks and typically costs thousands of dollars. Vector delivers the same end-result—validated exploits and remediation steps—using AI agents that complete the task in minutes for a fraction of the cost ($20 vs $1,000+). While manual tests may find extremely niche business logic flaws, Vector covers the vast majority of critical vulnerabilities (OWASP Top 10) with higher speed and lower cost.
Is it safe to run Vector against my production application?
Vector is designed to be safe, but it performs "Real attacks." It uses disposable accounts and isolated VMs to interact with your app. For production environments, it is recommended to set a budget cap and ensure your infrastructure can handle the probe rate. However, many developers prefer running Vector against a staging or "UAT" environment that mirrors production to ensure no live user data is affected during exploit simulation.
Why use Vector instead of static analysis (SAST) or AI code review?
Static analysis and AI code reviews (like GitHub Advanced Security) look at the code without executing it. They often miss vulnerabilities that only emerge during runtime, such as server misconfigurations, broken access controls, or SSRF. Vector is a DAST (Dynamic Application Security Testing) tool; it tests the running application, proving that a vulnerability exists by actually exploiting it, which provides a much higher level of certainty than code-level guesswork.
