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

From training to agile learning: revolutionize your approach to secure software
Blog
July 13, 2023
How to win over developers with agile learning for secure code

Learn how an agile learning platform for secure code can be embedded into developer workflows and tools, and start to build a culture of secure code learning.

Colorful credit card being held above a laptop keyboard.
Blog
June 30, 2023
PCI-DSS 4.0 will be here sooner than you think, and it’s an opportunity to elevate your organization’s cyber resilience

Earlier this year, the PCI Security Standards Council revealed version 4.0 of their Payment Card Industry Data Security Standard (PCI DSS). While organizations won’t need to be fully compliant with 4.0 until March 2025, this update is their most transformative to date, and will require most businesses to assess (and likely upgrade) complex security processes, and elements of their tech stack. This is in addition to implementing role-based security awareness training and regular secure coding education for developers.

From training to agile learning: revolutionize your approach to secure software
Blog
June 22, 2023
From training to agile learning: How an agile learning platform for secure code revolutionizes your approach to secure software

Learn how an agile learning platform for secure code upskills developers, reduces risk, and lowers technical debt over time by starting left in the SDLC.

Blog
June 1, 2023
Rethinking Software in the Organizational Hierarchy

By helping define the responsibilities of our apps and software within a tight hierarchy, and enforcing those policies with least privilege, we can make sure that our apps and software also survive and thrive despite the threat landscape arrayed against them.

Blog
May 19, 2023
Proactive protection: Leveraging the National Cybersecurity Strategy for advanced threat prevention

CISA's National Cybersecurity Strategy represents the best chance we have at raising software standards across the board and, finally, ushering in a new era of security-skilled developers.

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Blog
April 19, 2023
A closer look into the mvcRequestMatcher Spring vulnerability

On March 20th 2023, Spring Security Advisories published a blog post referencing an internally discovered vulnerability, CVE-2023-20860. No detailed information was disclosed, except that it was an access control issue concerning the use of `mvcMatchers`. Spring developers have remediated the issue, and a version update is advised. Since security is our main focus at Secure Code Warrior, we decided to take a deeper dive into this mvcRequestMatchers vulnerability and figure out where the core issue lies.

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Blog
April 14, 2023
Pieter Danhieux, CEO and Co-Founder, Secure Code Warrior: “everyone should understand and embrace the role they play in cybersecurity”

CyberNews Q&A with Pieter Danhieux, CEO & Co-Founder, Secure Code Warrior.

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Blog
March 27, 2023
The key to accelerating productivity and cutting costs in the SDLC

One of the biggest gaps in the software development lifecycle is the lack of time for developers to learn how to secure their code from the beginning. Developers waste countless hours on rework and remediation - resulting in millions of dollars in lost opportunity costs. Learn how secure coding at speed can help close these gaps and accelerate productivity.

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Blog
March 14, 2023
What’s new in Secure Code Warrior: Course guidelines, participation management, and new content

New at Secure Code Warrior: Experience new ways to manage courses and explore additional content.

Blog
March 2, 2023
Malice in the metaverse: Fighting known cyber threats on a new frontier

The advent of the digital darling of the moment - the metaverse - adds a vast new attack surface for both code-level vulnerabilities and social engineering. And we’re simply not prepared for battle on this new playing field that thrives on smoke and mirrors.

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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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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