Pixee
Pixeebot is an automated product security engineer that optimizes code by identifying vulnerabilities, hardening code, and resolving bugs. ...
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What is Pixee?
Pixee is an AI-native agentic AppSec platform that acts as an automated product security engineer for modern enterprises. It triages and fixes vulnerabilities detected by code scanning tools (SAST and SCA), transforming scanner noise into validated, prioritized risk. Pixee reads your entire codebase, security policies, and architecture to understand what actually runs and what is truly exploitable, then writes production-ready fixes that match your team's coding conventions. Humans approve every change through pull requests, making security resolution automatic rather than manual.
Key features include intelligent triage that eliminates 98% of false positives via exploitability analysis and reachability analysis, automated fix generation that produces production-ready code passing syntax tests and policy compliance, and the Pixee Context System that learns your team's patterns, policies, and preferences continuously. The platform supports 50+ scanners including SonarQube, CodeQL, Semgrep, Snyk, Checkmarx, GitLab, GitHub Advanced Security, and more. It offers both cloud (SaaS) and self-hosted/air-gapped deployment options, with 76% merge acceptance rate compared to sub-20% for tools like Dependabot.
Pixee is built for AppSec teams drowning in vulnerability triage, developers who want to reduce security work from 6 hours to 5 minutes, and CISOs needing to meet SEC and EU CRA compliance requirements. The platform scales AppSec capacity by 4× without hiring, clears years of vulnerability debt in weeks, and enables enterprises to ship AI-generated code securely without accumulating security debt. It's particularly valuable for organizations with tens of thousands of repositories or those facing regulatory compliance demands.
Pixee pricing
Pricing model: Freemium
Pixee uses outcome-based pricing - you pay per vulnerability triaged and remediated, not per seat. Pricing is calculated based on annual SCANNER FINDINGS (SAST+SCA). The platform includes automated triage engine, fix generation for SAST & SCA, GitHub/GitLab integration, and standard support. Enterprise plans include air-gapped & self-hosted options, custom security policies, compliance audit trails, advanced reachability analysis, SLA & custom contracts, unlimited developers, SSO/SAML, and dedicated Slack & CSM support. Typical ROI: 23% first-year ROI, 23% payback period, $36K saved annually, 18,000 hours returned to product work. No per-seat pricing - scale engineering team freely without increasing security tooling costs.
Pixee pros
- Eliminates 98% of false positives via exploitability analysis
- 76% merge acceptance rate for generated fixes
- Automates 74% of manual triage time for AppSec teams
- Reduces developer security work from 6 hours to 5 minutes
- Supports 50+ security scanners (SAST and SCA)
- Production-ready code that passes tests and policy compliance
- Self-hosted and air-gapped deployment options for enterprise
- No per-seat pricing - pay per vulnerability fixed
- Unlimited developers included in all plans
- SOC2 Type II, ISO27001, and CSA Star Level 2 audited
- Learns team coding conventions continuously via reinforcement learning
- Mean time to remediation drops to 2 days
- Scanner-agnostic - ingests findings from any security tool
- GitHub and GitLab integration with pull request workflow
- Context Graph captures security decision history for auditability
- 23% first-year ROI with 23% time to break even
- Covers 2-4x more SCA findings than SAST tools
- Cryptographically signs every commit for verification
Pixee cons
- No free tier - pricing based on annual scanner findings
- DAST and pen testing parsers still in beta development
- Some vulnerable code shapes may not be fixable safely
- Requires scanner integration - doesn't detect vulnerabilities itself
- Self-hosted setup requires additional infrastructure
- May add new dependencies to projects when existing controls unavailable
- Lockfile updates require separate GitHub Action configuration
- Custom model fine-tuning only available on self-hosted deployments
Frequently asked questions about Pixee
What are Pixee's AI features?
Pixee utilizes Large Language Models (LLMs) in some context-aware code fixes and to add code-specific comments helping developers understand why a change is recommended. Their triage features use LLMs to gather facts about vulnerable code flow and wider technical context, combined with deterministic analysis, to feed an expert recommendation system that produces results.
What is Pixee's AI policy regarding data privacy?
At Pixee, data privacy and security are taken seriously. Your data will never be used to train AI models. All data is encrypted in transit and at rest, and guaranteed to be destroyed. They document this in their Security and Trust Center.
How will my information (code, projects) be used?
Each party agrees to hold data and confidential information of the other party in confidence and not to disclose, retain, or distribute such information to third parties or use it for any purpose whatsoever. Full details are available in their Privacy Policy.
How do I know Pixee made changes to my code?
Pixee works directly with repositories through pull/merge requests, so you decide when and if to accept suggested changes. Suggestions appear in the Pixee Dashboard and your repository's GitHub pull requests page. Pixee cryptographically signs every commit, guaranteeing changes came from Pixee, were not modified after the fact, and are verified by GitHub.
Why does Pixee sometimes add new dependencies to my project?
Pixee always prefers using existing controls built into a language or controls from well-known trusted community dependencies. When this isn't an option, they add their own open source dependency to ensure maximum readability and maintainability. All dependencies use permissive open-source licenses, including the Java Security Toolkit on Maven Central and Python security package on PyPI.
Does Pixee support self-hosted deployment for enterprise?
Yes. Enterprise plans include options for self-hosted and air-gapped deployments to meet strict compliance and data sovereignty requirements. The majority of Pixee customers leverage self-hosted deployments. Source code stays in your environment to maintain internal compliance needs, available in private cloud or on-premises options.
Is Pixee pricing tied to the number of developers?
No. Unlike seat-based models, Pixee pricing is not tied to the number of developers in your organization. You can scale your engineering team freely without worrying about increasing security tooling costs. Pricing is based on vulnerabilities triaged and remediated.
What scanners does Pixee integrate with?
Pixee covers every scanner and ingests findings from all security tools. SAST coverage includes SonarQube, CodeQL, Semgrep, Semgrep, Checkmarx, Veracode, and every major SAST tool. SCA coverage includes GitLab Ultimate, Dependabot, JFrog Xray, Sonatype, Snyk, and Black Duck. It also supports GitHub Advanced Security, GitLab, Datadog, and Azure DevOps/Bitbucket.
How do I configure automatic code formatting for Pixee PRs?
For Python projects using Black, add a GitHub action workflow that runs black on Pixeebot PRs. For Java projects using Spotless with Gradle, create a workflow that runs gradlew spotlessApply. These workflows automatically format PRs created by Pixee to match your project's code style, stored in .github/workflows/ directory.
What is a 'resolution' in Pixee's pricing model?
A resolution is each time Pixee completes an automated triage or fix action. Triage actions deliver full detailed analysis of a particular finding to provide evidence of false positive, true positive, and/or exploitability. An automated fix action results in a code diff generation that may be pushed to your SCM (e.g., GitHub, GitLab).