Frontier-grade Claude models with agentic workflows, strong coding, and enterprise guardrails delivered via developer console, web app, and cloud partners.
Pencheff
FreeStarting price
0Popularity
About Pencheff
Pencheff is an open-source security platform that integrates dynamic application security testing, static analysis, infrastructure scanning, and AI red teaming into a single workflow. It supports web and API testing, code repository analysis, container and infrastructure-as-code scanning, and threat modeling using STRIDE and DREAD frameworks. The platform provides compliance mapping to standards such as OWASP, SOC 2, PCI, NIST, ISO, and HIPAA, along with software bill of materials generation in SPDX and CycloneDX formats. It includes features for authenticated coverage, session-aware crawling, and automated remediation through pull requests. Pencheff offers deliverables including technical dossiers, executive summaries, and letter-grade risk verdicts. It supports deployment as SaaS, CLI, MCP server, or self-hosted instance, with integrations for CI/CD pipelines and AI governance frameworks.
Key features
- Dynamic application security testing (DAST) for web and APIs
- Static application security testing (SAST) with 15+ language support
- Software composition analysis (SCA) with CVE enrichment
- Infrastructure-as-code and container scanning
- LLM red teaming against OWASP Top 10 standards
- Threat modeling using STRIDE and DREAD frameworks
- Compliance mapping to SOC 2, PCI, NIST, ISO, HIPAA
- Automated remediation via pull requests and SARIF output
Use cases
- Continuous security testing in CI/CD pipelines
- Compliance audits and regulatory attestation
- AI application security validation and hardening
Pros
- Open-source and self-hostable under AGPL-3.0 license
- Covers multiple security domains: DAST, SAST, SCA, IaC, container, API, LLM red teaming
- Provides compliance mapping to major security frameworks
- Supports both cloud and on-premises deployment models
- Includes automated remediation via pull requests and AI triage
Cons
- Requires self-hosting or cloud setup for full functionality
- No explicit free tier beyond self-hosted open-source version
Frequently asked questions about Pencheff
What is Pencheff and what does it do?
Pencheff is an open-source security platform that integrates dynamic application security testing, static analysis, infrastructure scanning, and AI red teaming into a single workflow. It covers web and API testing, code repository analysis, container and infrastructure-as-code scanning, and threat modeling using STRIDE and DREAD frameworks.
Who is Pencheff designed for?
Pencheff is designed for security teams, engineers, auditors, and executives. Security teams use it for verified risk and remediation queues, engineers for developer-ready evidence and PRs, auditors for compliance appendices and retests, and executives for letter-grade risk scoring and portfolio posture.
How does Pencheff handle compliance and reporting?
Pencheff provides compliance mapping to standards such as OWASP, SOC 2, PCI, NIST, ISO, and HIPAA. It generates deliverables including technical dossiers, executive summaries, and letter-grade risk verdicts, with evidence in formats like DOCX, PDF, JSON, CSV, and SBOM.
Can Pencheff be integrated into CI/CD pipelines?
Yes, Pencheff supports deployment as SaaS, CLI, MCP server, or self-hosted instance, with integrations for CI/CD pipelines. It offers CI/CD gates that block policy violations in repositories, infrastructure-as-code, and containers during automated workflows.
What deployment options does Pencheff offer?
Pencheff can be deployed as a SaaS application, via CLI and CI tools, as an MCP server for AI agent automation, or self-hosted within an organization's infrastructure. Each deployment model provides deterministic checks, dashboards, and multi-workspace support where applicable.
Does Pencheff support AI security testing?
Yes, Pencheff includes AI security testing capabilities such as LLM red teaming with OWASP LLM Top 10 modules, agentic testing with swarm orchestration, and AI runtime proxy guardrails. It also supports AI governance frameworks like OWASP LLM, MITRE ATLAS, and NIST AI RMF.
