Stop AI software risk before it starts

Ship secure, high-quality code at every commit – no matter who (or what) wrote it.

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Wormhole
AI Software Governance

The control plane for AI-driven development

Make AI-driven development visible, secure, and resilient—preventing vulnerabilities before production so teams can move fast with confidence.

Operationalize AI governance across software development.

Enable AI-assisted development while maintaining security oversight. Gain visibility into AI usage, apply governance workflows at commit, and align development practices with enterprise risk thresholds.

Securely scale AI software development

  • Gain enterprise-wide visibility into AI-assisted development
  • Strengthen secure coding capability across engineering teams
  • Train developers to safely review AI-generated code
AI Governance
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Prevent AI-introduced vulnerabilities at commit.

Make AI usage visible, apply secure coding guardrails at commit, and align AI-assisted development with security standards to prevent vulnerabilities across human and AI-generated code.

Reduce introduced vulnerabilities by 53%+

  • Build secure coding capability across development teams
  • Deliver policy-aligned guidance directly in developer tools
  • See how AI-generated code impacts software risk
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Scale AI development without slowing delivery.

Make AI-assisted development secure and measurable — reducing rework, avoiding security review bottlenecks, and enabling teams to ship faster with confidence.

Reduce MTTR by up to 82%

  • Improve developer security skills with adaptive learning
  • Deliver real-time guidance inside developer tools
  • Fix vulnerabilities earlier to reduce cost of rework
Engineering
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Why we’re awesome

Secure and built for the tools you already use

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*In progress
Total interactive learning activities
11k+
Vulnerability topics & security concepts
650+
AI / LLM focused learning activities
800+
Coding languages and frameworks
75

Our latest content

Brochures
01/01/2026
Secure code training topics & content

Our industry-leading content is always evolving to fit the ever changing software development landscape with your role in mind. Topics covering everything from AI to XQuery Injection, offered for a variety of roles from Architects and Engineers to Product Managers and QA. Get a sneak peak of what our content catalog has to offer by topic and role.

Software Security
01/01/2026
Cybermon Is Back: Beat the Boss AI Missions Now Available On Demand

Cybermon 2025 Beat the Boss is now available year-round in SCW. Deploy advanced AI/LLM security challenges to strengthen secure AI development at scale.

Software Security
01/01/2026
AI Can Write and Review Code — But Humans Still Own the Risk

Anthropic’s launch of Claude Code Security marks a defining collision point between AI-assisted software development, and the rapid augmentation of how we approach modern cybersecurity.

Compliance
01/01/2026
Cyber Resilience Act Explained: What It Means for Secure by Design Software Development

Learn what the EU Cyber Resilience Act (CRA) requires, who it applies to, and how engineering teams can prepare with secure by design practices, vulnerability prevention, and developer capability building.

Software Security
01/01/2026
Enabler 1: Defined & Measurable Success Criteria

Enabler 1 kicks off our 10-part Enablers of Success series by showing how to link secure coding to business outcomes like risk reduction and velocity for long-term program maturity.

Company
01/01/2026
SCW Turns 11: A Realtime Lesson in Adaptability and Continuous Improvement

2025 was a big year for AI, for cybersecurity, and for SCW. I’m approaching 2026 with quiet confidence, and the optimism that only hard work paying off can bring. 

Software Security
01/01/2026
Introducing the 10 Enablers of Success

Secure Code Warrior’s 10 Enablers guide organizations in building lasting secure coding programs by focusing on people, process, and program maturity stages.

01/01/2026
Cyber Resilience Act (CRA) Aligned Learning Pathways

SCW supports Cyber Resilience Act (CRA) readiness with CRA-aligned Quests and conceptual learning collections that help development teams build the Secure by Design, SDLC, and secure coding skills aligned with the CRA’s secure development principles.

Case Studies
01/01/2026
Kamer van Koophandel Sets the Standard for Developer-Driven Security at Scale

Kamer van Koophandel shares how it embedded secure coding into everyday development through role-based certifications, Trust Score benchmarking, and a culture of shared security ownership.

eBooks
01/01/2026
OWASP Top 10 2025 eBook

Want to dominate the OWASP Top 10? Download the No-BS Guide to Defending Your Applications Against the OWASP Top 10:2025

Observability

Make AI-driven development risk visible

See how AI coding is used, the risk it creates, and the behavior behind it—so you can stop vulnerabilities before they ship.

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"The security champion network has been seen as a key control of that program. For one team the impact felt was enormous - with an 82% reduction in mean time to fix a vulnerability."

Mads Howard
People-Centered Security Lead at Sage

Discover shadow AI

See which AI tools, LLMs and MCPs are being used across your teams.

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Trust agent policy

Correlate true risk

Connect AI-assisted code with developer skill and introduced vulnerabilities at commit.

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policy gating

Trace AI tool usage

Understand where AI-assisted development occurs—by repository, project, and contributor.

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distribution chart

Prioritize risk signals

Highlight the most urgent commit-level risk hotspots across teams and repositories.

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flow chart
Learning

Reduce vulnerabilities at the source

Hands-on secure coding and AI security learning delivered in real-world developer workflows — helping organizations reduce vulnerabilities by 53%+.

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“Our partnership with Secure Code Warrior has been smooth and productive. They helped us implement and improve our training program, resulting in measurable risk reduction and a stronger culture of secure development.”

Sebastiaan Rijnbout
Product Owner of Development Services 
at Kamer van Koophandel

Gamified hands-on learning

Interactive play modes – including Labs, Quests, Missions, and Tournaments – build secure coding habits.

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Gamified

Secure AI code development

Over 800 AI, LLM, and MCP activities teach developers to validate AI-generated code safely and efficienctly.

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Empower teams to optimize

Embed a security mindset into your development process with learning beyond developer training.

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Benchmark your security program

Understand how your program compares to peers and define standards aligned to your risk strategy.

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distribution
Governance

Enforce developer and AI policy control at scale

Enable and control your AI-driven software development lifecycle while preventing risk, enforcing policy, and proving trust before code reaches production.

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“Secure Code Warrior has helped us increase developer productivity, accelerate our ability to bring products and improvements to market, and significantly reduce costs and risk over time.”

Alan Osborne

Chief Information Security Officer at Paysafe

Enforce secure governance

Apply policies to ensure AI-enabled developers meet secure coding standards.

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Policy gating

Set AI usage policies

Restrict usage to authorized AI tools, LLMs, and coding agents at the point of commit.

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Policies

Flag risk signals

Highlight AI usage and policy misalignment to support secure development decisions.

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Commit policy

Trigger policy remediation

Assign targeted adaptive learning when risky behavior or unauthorized AI use is detected.

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Adaptive learning

Govern AI-driven development before it ships

See developer risk, enforce policy, and prevent vulnerabilities across your software development lifecycle.

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trust score
AI software governance FAQs

Understand AI software governance and how to reduce AI-driven software risk

Learn what AI software governance is, why it matters, and how Secure Code Warrior helps organizations safely adopt AI-assisted development.

What is AI software governance?

AI software governance is the ability to see, measure, control, and enforce how artificial intelligence is used in software development. It includes visibility into AI coding assistants and LLMs, commit-level risk analysis, policy enforcement, and preventing risky AI-generated code from reaching production.

Why is AI software governance important?

As organizations move from developers casually using AI chatbots to AI agents autonomously generating and modifying code, the risk surface expands dramatically. These tools can introduce vulnerabilities, insecure patterns, and compliance exposure at machine speed.

AI software governance enables organizations to adopt AI safely by making AI usage visible, enforcing policy controls, and preventing AI-introduced risk before code reaches production.

How is AI development governance different from DevSecOps?

DevSecOps integrates security testing into CI/CD pipelines to detect vulnerabilities. AI development governance goes further by making AI usage visible, correlating AI-assisted commits with developer skill, enforcing AI model policies at commit, and improving secure coding behavior. DevSecOps detects risk; AI governance prevents it.

How does Secure Code Warrior reduce AI software risk?

Securing AI-generated code requires visibility into AI tool usage, commit-level risk analysis, and governance oversight across development workflows. Secure Code Warrior provides AI observability, vulnerability correlation, and developer capability insights within a unified AI software governance platform.

How do you prove AI risk reduction to leadership or auditors?

Secure Code Warrior provides enterprise dashboards, AI model traceability, and governance reporting that demonstrate measurable reductions in introduced vulnerabilities, improved developer Trust Score®™ metrics, and policy compliance across teams.

The platform also maintains audit-ready traceability of who — or what — generated specific code, including developers, AI coding assistants, LLMs, and autonomous agents. This creates verifiable AI software supply chain accountability for leadership, regulators, and auditors.

Still have questions?

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