PentestReportAI is an AI pentest report generator that turns raw findings into a professional pentest report PDF in minutes. It is built for pentesters and consultants who need publication-ready reports from scan output, manual notes, and screenshots.
The tool accepts pasted Nmap output, Burp Suite results, any other text format, and manual notes. It uses a five-step AI pipeline to parse, classify, enrich, review, and compose a report. Findings are given CVSS 3.1 vectors and scores, severity ratings, and CWE or OWASP classification, and the built-in calculator allows scores to be edited. Screenshot support is included as well: screenshots can be pasted or drag-dropped, AI vision analyzes them, and images are embedded in the exported report. Generated reports include an executive summary, methodology section, risk assessment, and strategic recommendations.
Five report templates are available: Executive Summary, Technical Detail, OWASP Top 10, Compliance, and Vulnerability Assessment. Reports can be exported as PDF or DOCX. PentestReportAI is available as a privacy-first desktop app for Windows and Linux, and the desktop version keeps data on the user’s machine while AI calls go directly to the provider. A web app is also referenced, with data transmitted over HTTPS and not stored after processing.
Pricing includes a one-time $3 report credit and monthly plans starting at $10 for five reports and $25 for twenty reports. The single-report credit does not expire until used. The service page also refers to free guides and templates, including pentest report and CVSS scoring resources, as part of its reporting materials.
PentestReportAI sits in PulseGate's Security & compliance platforms category. It focuses on automating the creation of professional pentest reports from raw scan data, saving time for security professionals. It is built as a B2B product for penetration testers. Pricing is paid, from $29. It runs on the web, Windows, and Linux.
PentestReportAI first shipped in 2024. Key capabilities include AI report generation, CVSS scoring, and PDF export.
Summary written by a language model from the project’s public pages.
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