Skip to content
AI Tool

Pencheff Review

Pencheff is an open-source security platform designed for adversarial assessments, focusing on multiple attack surfaces including web applications, APIs, infrastructure, and AI models.

shipped Aug 16, 2026free
Monthly visits1/mo
Pencheff — product screenshot

Why it matters

1Pencheff is free and open-source under the GNU AGPL-3.0 license.
2It offers comprehensive coverage for the OWASP LLM Top 10 (2025) and agentic testing.
3The platform provides automated false-positive triage and audit-grade evidence for compliance.
4Pencheff supports self-hosting via Docker Compose and integrates with Slack, Jira, GitHub, Linear, and Discord.

About Pencheff

Business Model
Open Source
Funding
Open source
Platforms
Web, macOS, Self-hosting (Docker)
Target Audience
Security teams, engineers, auditors, executives

Pricing Plans

Free Tier
Free
  • Open source
  • Self-hostable
  • Unlimited re-examinations
API DocsGitHubOpen Source

Specs

API Available

Yes, public API

Screenshots

overview

What is Pencheff?

Pencheff is a comprehensive AI security platform developed by Magadha-IG that enables security engineers, auditors, compliance officers, and AI/ML teams to perform adversarial assessments and manage security posture. It provides automated tools for vulnerability detection, compliance mapping, and AI red teaming, adhering to recognized security benchmarks such as OWASP, PCI-DSS, SOC 2, ISO 27001, NIST, and HIPAA.

features

Key Features of Pencheff

Pencheff offers a robust set of features designed for comprehensive security assessments across various attack surfaces, with a particular emphasis on AI and LLM security.

  • Adversarial assessments for web applications, APIs, infrastructure, and AI models.
  • Automated false-positive triage and exploit-chain composition for verified findings.
  • Compliance mapping to frameworks including OWASP, PCI-DSS, SOC 2, ISO 27001, NIST, and HIPAA.
  • Self-hosting capability via Docker Compose for complete control and transparency.
  • Unlimited re-examinations per finding to ensure thorough validation.
  • API availability with proprietary function calling and Pencheff proprietary models.
  • Multimodality support for text and audio in AI security assessments.
  • LLM Red Teaming covering the OWASP LLM Top 10 (2025) with curated payload libraries.
  • Agentic Testing for tool calls, memory, planners, and swarm workflows.
  • Runtime Guardrail (Sentry) for inline policy enforcement on prompts, responses, and agent memory.

use cases

Who Should Use Pencheff?

Pencheff is designed for specific roles and teams requiring in-depth security analysis and compliance adherence, particularly in environments utilizing AI and cloud-native applications.

  • Security engineers: For comprehensive Application Security Testing (DAST, SAST, VAPT, API security) and infrastructure security analysis.
  • Auditors: To generate audit-grade evidence and compliance reports against standards like SOC 2 and ISO 27001.
  • Compliance officers: For mapping security findings to regulatory frameworks such as HIPAA and PCI-DSS.
  • AI/ML teams: For AI Red Teaming, AI Security Posture Management, and securing Large Language Models (LLMs).
  • Organizations implementing CNAPP: For Cloud Native Application Protection, including KSPM, KIEM, CWPP, and ASPM.

how to use

How to Use Pencheff

Pencheff is an open-source platform that can be self-hosted, providing a flexible deployment model for security assessments. Users can access its capabilities through its web interface or API.

  • 1Download the Pencheff Docker Compose stack from GitHub (github.com/Magadha-IG/pencheff-ce).
  • 2Deploy the platform within your own infrastructure using Docker Compose.
  • 3Configure target applications, APIs, or AI models for adversarial assessment.
  • 4Initiate scans for vulnerability detection, compliance mapping, or AI red teaming.
  • 5Review verified findings with proof-of-concept evidence and generate compliance dossiers.
  • 6Integrate with existing workflows via Slack, Jira, GitHub, Linear, or Discord for issue tracking.

pricing

Pencheff Pricing & Plans

Pencheff operates on an open-source business model, making the entire platform freely available under the GNU AGPL-3.0 license. There are no licensing fees, seat limits, or feature gating for the self-hostable version.

  • Free Tier: Free (includes all features, self-hostable, no license fees)

Pros

  • +Completely free and open-source under the GNU AGPL-3.0 license, offering full transparency and control.
  • +Self-hostable via Docker Compose, allowing deployment within private infrastructure.
  • +Adversarial methodology provides verified findings with proof-of-concept evidence, reducing false positives.
  • +Comprehensive coverage for AI security, including OWASP LLM Top 10 (2025) and agentic testing.
  • +Integrated compliance mapping to multiple security benchmarks (HIPAA, ISO 27001, SOC 2, NIST, PCI-DSS).
  • +Includes a runtime guardrail (Sentry) for inline policy enforcement on AI model interactions.

Cons

  • Requires self-hosting and management, which may demand technical expertise and infrastructure resources.
  • Specific user reviews and community engagement metrics are not readily available, making external reception assessment challenging.
  • The 'Pro plan' mentioned for API rate limits and concurrent scans is not detailed in the open-source offering, potentially causing confusion.
  • As an open-source tool, enterprise-grade support and dedicated account management may not be as readily available as with commercial alternatives.

Similar Tools

Pencheff vs Competitors

Pencheff distinguishes itself from traditional vulnerability scanners by adopting an adversarial methodology, focusing on verified exploitation and comprehensive AI security, rather than merely reporting potential issues.

1
OWASP ZAP

It is a comprehensive, open-source web application security scanner that helps find vulnerabilities in web applications during development and testing.

While ZAP excels at deep web application and API vulnerability scanning, it requires more manual configuration and understanding of security concepts compared to Pencheff's potentially more integrated and AI-driven adversarial assessment platform. ZAP's primary focus is on web applications, whereas Pencheff also covers broader infrastructure.

2
Nuclei

It is a fast and customizable vulnerability scanner that uses simple YAML-based templates to detect a wide range of security issues across various targets, including web, network, and cloud assets.

Nuclei offers extreme flexibility and speed for targeted vulnerability detection based on community-driven templates, making it highly adaptable. Pencheff likely provides a more curated and integrated platform experience for adversarial assessments, whereas Nuclei requires users to manage templates and integrate it into their own workflows for broader assessment coverage.

3
Nikto

It is a web server scanner that performs comprehensive tests against web servers for multiple items, including over 6700 potentially dangerous files/CGIs, checks for outdated versions, and version-specific problems.

Nikto is highly specialized in quickly identifying common web server misconfigurations and known vulnerabilities. Pencheff aims for a broader, more integrated adversarial assessment across web, API, and infrastructure, likely with more advanced vulnerability detection logic beyond simple signature matching that Nikto provides.

4
Wapiti

It is a web application vulnerability scanner that performs black-box testing by injecting data like a fuzzer to detect vulnerabilities such as XSS, SQL injection, and file disclosure.

Wapiti is an effective black-box scanner for common web application vulnerabilities. Pencheff likely offers a more comprehensive platform with broader infrastructure coverage and potentially more advanced 'AI' driven adversarial assessment capabilities, whereas Wapiti is more focused on traditional web application vulnerability types through injection.

More on Stork

Related AI Tools

Other tools in this category, matched by shared tags