Secure Code Warrior • Application security
Secure Code Warrior AI Software Governance Platform unifies developer secure-coding training (Learning, with 600+ hours of content across 70+ languages and frameworks including AI/LLM security) with AI governance, Trust Score skill measurement, and policy enforcement. The platform addresses both the developer skill gap and the operational gap from widespread AI code-assistant adoption.
Merito sells Secure Code Warrior AI Software Governance Platform and operates the Learning rollout, AI governance configuration, Trust Score program design, and developer cohort enablement that turn the platform into a measurable secure-coding capability program.
What it is
Secure Code Warrior AI Software Governance Platform combines two product surfaces under one console. The Learning capability covers 600+ hours of secure-coding content across 70+ languages and frameworks, including AI and LLM security topics aligned to OWASP Top 10 (2025 edition). Hands-on labs, structured learning paths, objective assessments, and gamified competitions strengthen developer secure-coding behavior. Trust Score quantifies developer capability progression over time.
The AI governance capability addresses the operational gap that emerged as developer adoption of AI code assistants accelerated. Per Sonar's 2026 State of Code Developer Survey, 72% of developers use AI coding tools daily. The platform provides visibility into AI coding assistants and LLMs, commit-level risk analysis, policy enforcement, and prevention of risky AI-generated code reaching production. AI usage visibility, LLM security benchmarking, MCP discovery, and Trust Score integration tie AI tool adoption to developer skill measurement.
Programs that adopt the AI Software Governance Platform without authoring the Trust Score program design get less value. The platform's measurement framework requires customer-specific cohort definition, content sequencing against the customer's tech stack, and policy enforcement aligned to risk tolerance. Merito's standard rollout starts with the developer cohort inventory, then Trust Score baseline measurement, then Learning content sequencing, then AI governance policy enforcement.
Ideal use cases
What it is best at
Trust Score measures secure-coding skill progression over time across training completion, vulnerability resolution, and AI tool usage patterns. Programs measure developer skill gain rather than just training completion volume.
Hands-on labs, structured learning paths, objective assessments, and gamified competitions. Coverage includes AI/LLM security topics aligned to OWASP Top 10 (2025 edition).
Combines secure-coding training with AI governance under one console. Addresses both the developer skill gap and the AI tool adoption gap.
Custom Quests export as SCORM packages for integration with the customer's existing LMS. Programs run Secure Code Warrior content alongside their broader learning infrastructure.
Core capabilities
The secure-coding training surface inside the AI Software Governance Platform.
600+ hours of content
Secure-coding content across 70+ languages and frameworks, including AI/LLM security topics. OWASP Top 10 (2025 edition) aligned.
Hands-on labs
Practical exercises in real-feeling code environments. Developers learn by doing rather than reading.
Structured learning paths
Curated sequences for specific roles, languages, and frameworks.
Objective assessments
Standardized assessments measure secure-coding skill across cohorts.
Gamified competitions
Tournaments and challenges drive developer engagement and Trust Score progression.
LMS integration via SCORM
Custom Quests export as SCORM packages for integration with the customer's LMS.
How the platform addresses AI code-assistant adoption.
AI usage visibility
Visibility into AI coding assistants and LLMs influencing the codebase, including sanctioned and Shadow AI tools.
LLM security benchmarking
Secure Code Warrior's LLM security benchmark data evaluates AI models against measurable security performance.
MCP discovery
Tracks Model Context Protocol servers installed and active to prevent AI agents accessing internal tools or databases through unvetted connections.
Commit-level risk analysis
Risk analysis at the moment code is committed rather than at PR-time or build-gate.
The metric framework that ties training and AI governance together.
Developer skill quantification
Trust Score measures secure-coding capability across cohorts and over time.
Cohort comparison
Compare Trust Score across teams, projects, and language stacks.
Risk correlation
Trust Score correlates with vulnerability introduction rates so programs see measurable risk reduction from training.
Where it fits in the stack
Deployment and implementation
Licensing and packaging
AI Software Governance Platform
Unified product combining Learning capability with AI governance and Trust Score skill measurement.
Best for: Engineering organizations standardizing developer secure-coding capability across cohorts.
Merito services
Merito sells licenses and the delivery work around them. Pick the service that matches where you are in the lifecycle.
Tenant setup, Learning content sequencing, AI governance configuration, and Trust Score program design.
Explore service02AppSec program scoping for AI Software Governance Platform adoption alongside developer-training-led AppSec strategy.
Explore service03AI governance integration into developer workflows across major SCMs.
Explore service04Developer-facing secure-coding adoption discipline aligned to Trust Score progression.
Explore service05Named engineer, priority SLAs, and release-window coverage.
Explore service06Long-term run support including ongoing Learning content updates, AI governance policy maintenance, and Trust Score program evolution.
Explore service07Role-based training for AppSec leaders, developer cohort owners, and CISOs using AI Software Governance Platform output.
Explore serviceAI Software Governance licensing
Trust Score program design is the work that turns the platform from a training subscription into a measurable secure-coding capability program. Buy through Merito and get the Learning rollout, AI governance configuration, and Trust Score program design together.
Merito point of view
Most secure-coding training programs measure completion rather than capability. Programs that buy training without a metric framework cannot demonstrate skill progression to CISOs or compliance leaders. Trust Score addresses that gap by quantifying developer secure-coding skill across training, vulnerability resolution, and AI tool usage patterns. Merito's recommendation for customers comparing developer training vendors is to weight the metric framework alongside content depth.
The combination of Learning and AI governance under one platform reflects the reality that 72% of developers use AI coding tools daily. Programs that train developers in secure coding without addressing AI tool governance miss half the picture. The unified platform addresses both dimensions, but customer-specific Trust Score program design is the work that makes the platform pay back.
The AI governance capabilities are early. Programs comparing against more mature AppSec analysis platforms should weight the training depth (which is industry-recognized) heavier than the AI governance capabilities (which are newer). Trust Agent extends AI governance further, and programs adopting both products together get tighter integration.
What buyers usually underestimate
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Frequently Asked Questions
Consultation request
Share your developer cohort inventory, current secure-coding training maturity, and AI code-assistant adoption posture. A Merito Secure Code Warrior specialist follows up within one business day.
Trust Score metric
Trust Score quantifies developer secure-coding skill across training, vulnerability resolution, and AI tool usage.
Learning + AI governance
600+ hours of training content plus AI usage visibility, LLM security benchmarking, MCP discovery, and commit-level risk analysis.
Next step
An AI Software Governance Platform engagement with Merito starts with the developer cohort inventory and Trust Score baseline. Learning content sequences against the customer's tech stack and AI governance addresses AI tool adoption.