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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AI Software Governance

Adopt AI-driven development with confidence

Visibility into shadow AI. Audit-ready traceability for every commit — human or agent. Adaptive learning that turns every finding into stronger secure-coding capability. SCW is the AI Software Governance platform built for the agentic era.

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

A digital promotional banner for Secure Code Warrior titled "Cyber Resilience Act Explained: What it Means for Secure by Design Software Development." The background features blue holographic data patterns, a glowing padlock icon inside a shield, and binary code, symbolizing cybersecurity and software protection.
Blog
February 24, 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.

A light grey callout box featuring a blue magnifying glass icon with a yellow exclamation point inside. The text encourages considering key stakeholders and executive sponsors when determining program success criteria to drive departmental adoption.
Blog
February 19, 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.

A festive birthday image with confetti and a robot holding a cake.
Blog
January 27, 2026
SCW Turns 11: 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.

Blog
January 22, 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.

Blog
December 1, 2025
OWASP Top 10 2025: Software Supply Chain Failures

OWASP Top 10 2025 lists Software Supply Chain Failures at #3. Mitigate this high-impact risk via strict SBOMs, dependency tracking, and CI/CD pipeline hardening.

Blog
December 1, 2025
New Risk Category on the OWASP Top Ten: Expecting the Unexpected

OWASP Top 10 2025 adds Mishandling of Exceptional Conditions at #10. Mitigate risks via "fail closed" logic, global error handlers, and strict input validation.

Blog
November 26, 2025
OWASP Top 10: 2025 – What’s New and How SCW Keeps You Aligned

Discover what changed in the OWASP Top 10: 2025 and how Secure Code Warrior makes the transition easy with updated Quests, Courses, and developer insights.

Blog
November 21, 2025
Adopt Agentic AI in Software Development FAST! (Spoiler: You Probably Shouldn't.)

Is the cybersecurity world moving too fast on agentic AI? The future of AI security is here, and it's time for experts to move from reflection to reality.

Blog
November 19, 2025
Solving the Visibility Crisis: How Trust Agent Bridges the Gap Between Learning and Code

Trust Agent by Secure Code Warrior solves the secure coding crisis, validating dev proficiency on every commit. It discovers all contributors & automates governance in your dev workflow.

Blog
November 18, 2025
Reclaiming Critical Thinking in AI-Augmented Secure Software Development

The AI debate isn't about use, but application. Discover how to balance the need for AI productivity gains with robust security by relying on developers who deeply understand their code.

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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Correlate true risk

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

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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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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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Secure AI code development

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

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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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Governance

Scale AI-driven development with confidence

Gain visibility into how AI contributes to your code, connect activity to real risk, and align development to enterprise standards — so you can reduce risk and prove 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

Govern AI coding policies

Bring governance visibility to AI-assisted development and help teams consistently meet secure coding standards.

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Set AI usage policies

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

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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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Govern AI-driven development before it ships

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

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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.

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