AI-DRIVEN REFACTORING SOLUTIONS
Complex Code Is Hard to Secure, Harder to Modernize
Legacy and mission-critical software often depends on specialized architectures, limited documentation, and years of accumulated technical debt. Security scanners and code review tools can surface issues, but teams still need context, prioritization, and practical remediation paths before making changes safely.
Legacy Code Lacks Context
Older codebases are often difficult to understand, risky to change, and expensive to maintain
Security Tools Are Fragmented
Static analyzers, fuzzers, dependency scanners, and manual reviews each reveal only part of the problem
AI Alone Is Not Enough
AI can assist with analysis and remediation, but high-trust software still requires evidence, validation, and human review
Legacy Complexity
Fragmented Tools
Security Backlogs
Our Solution
Evidence-Based Secure Modernization
Canvass Labs supports secure modernization by bringing multiple sources of evidence into one review workflow. We combine static analysis, dynamic testing, fuzzing, code structure understanding, and AI-assisted review to help teams identify real risks, reduce noisy findings, and make safer remediation decisions
Analyze
Map code structure, dependencies, call paths, and security-relevant patterns
Prioritize
Correlate findings across tools to reduce noise and focus attention on the most important risks
Modernize
Support safer remediation and refactoring decisions with human-reviewable recommendations and validation workflows
All Encompassing Solution
Orchestrated Analysis, Not AI Guesswork
Our workflow treats each analysis method as a source of evidence. Static analysis, dynamic testing, fuzzing, and code intelligence each provide different signals. AI-assisted review helps connect those signals, but validation, engineering judgment, and human oversight remain central
COMPARISON
Why We Stand Out
A more practical approach to secure code modernization.
Orchestrated Analysis
Context-Aware Code Understanding
Vulnerability Triage and Prioritization
Human Reviewable Recommendations
Secure Modernization Support
Others
Point Solutions Create Fragmented Findings
Traditional Scanners Lack Deep Context
AI Coding Assistants Are Not Security Workflows
High False Positive Burden
Refactoring Remains Risky
Ways to Work With Us
Canvass Labs is developing AI-assisted secure code modernization technology through government R&D, teaming partnerships, and selected commercial engagements
Government R&D
Mission-focused software modernization, vulnerability discovery, and secure code analysis
Prime & Subcontractor Teaming
Partnership opportunities for federal, defense, AI, cyber, DevSecOps, and software modernization programs
Commercial Pilots
Scoped evaluations with engineering and security teams working on legacy code, vulnerability remediation, or AI-assisted development risk.
Ready to Modernize and Secure Complex Code?
Explore an Early Engagement with Canvass Labs
Whether you are modernizing legacy software, improving vulnerability remediation, or evaluating safe AI-assisted development workflows, Canvass Labs can help identify practical ways to reduce risk and support secure modernization
