Pixee
Autonomous product security engineer that triages vulnerabilities and ships developer-ready fix PRs.
About Pixee
Pixee is an agentic security platform that reads a codebase, security policies, and architecture to trace real execution paths, filter out false positives, and identify genuinely exploitable vulnerabilities. It then generates convention-aware, CI-passing fixes as reviewable pull requests, and its Foresight capability catches security risks at design time before vulnerable code is written. Reactive remediation and proactive design review share one compounding context graph that improves triage and fixes over time.
Screenshots
Commonly Cited Strengths & Limitations
Strengths
- Eliminates up to 98% of false positives
- Generates fixes that match team conventions and pass CI, achieving a 76% merge rate
- Keeps source code and vulnerability data in-house via self-hosted deployment and private models
Common Use Cases
- Automating remediation of code security vulnerabilities
- Fixing vulnerabilities directly within developer pull request workflows
- Centralizing security triage and mass remediation across repositories
- Reducing alert fatigue from SAST/IAST tools
- Catching security risk at design time before vulnerable code is written
Details
- Pricing Model
- Contact Sales
- Team Size
- Business, Enterprise
- Category
- AI & Machine Learning
Key Features
- Attack surface analysisReads the codebase, security policies, and architecture to map what runs, what's reachable, and what's exposed via execution path tracing.
- Exploitability analysisTraces real execution paths and applies evidence-based triage to prove exploitability, eliminating up to 98% of false positives.
- Convention-aware fix generationProduces remediation PRs that match your team's coding conventions, respect security rules, and pass CI before opening.
- Ready-to-merge pull requestsAutomatically opens fix suggestions as PRs that developers review and merge, turning fix authors into fix reviewers.
- Foresight design-time reviewCatches security risk in designs before vulnerable code is generated, embedding security into designs.
- Compounding context graph
Real Pricing from Verified Users
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