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

Image of light traveling at high speed with the text "Cut vulnerabilities by 50%"
Blog
November 1, 2023
Reduce vulnerabilities by half with agile learning

Learn how you can reduce vulnerabilities and security breaches with Secure Code Warrior’s hands-on agile security training.

Blog
October 20, 2023
Deep-Dive: Finding and fixing high-severity libcurl/curl vulnerabilities

Affected versions of the curl library are susceptible to a Heap-based buffer overflow vulnerability, related to a legacy issue with the SOCKS5 proxy protocol. Learn how to find and fix this vulnerability type with a playable mission.

Stylish boardroom in black and white
Blog
October 13, 2023
How world-class CISOs are winning more budget and board trust in 2023

CISOs are finding themselves in an increasingly fraught position: Protect more assets, ship more code, reduce a bigger attack surface, and do it with rapidly diminishing financial resources. It’s an inescapable fact that cybersecurity is viewed as a cost center, and despite an organization’s security program being what stands in the way of a threat actor making them tomorrow’s disastrous headline, security leaders must do more to sell in and prove the overall business value of the department, in language that makes sense to the executive body.

Blog
September 30, 2023
Deep-Dive: Up close and personal with the MOVEit zero-day vulnerability

The MOVEit scenario is a little different from what many developers and AppSec professionals may have previously experienced, and you can test your SQLi-slaying skills in a live simulation right here.

Blog
September 28, 2023
What’s new at Secure Code Warrior: multi-company tournaments, SCIM, program workflows, and more!

New at Secure Code Warrior: set up tournaments for multiple companies, new coding guidelines, SCIM provisioning for users, and more!

Blog
September 11, 2023
Do software vendors care as much about security as you do?

It’s safe to say that the past couple of years have been transformational for cybersecurity standards, and while not mandatory, it should be a goal for all organizations to follow suit, and scrutinize vendor security practices as though they are part of their own internal security program.

Blog
August 8, 2023
Revealed: An exciting partnership to elevate agile learning and developer-driven security in the enterprise

Fresh off the back of our Series C funding announcement, I am thrilled to announce another step in our company’s journey. Security industry leader, Synopsys, has welcomed an exciting new addition to its product suite: Synopsys Developer Security Training, powered by Secure Code Warrior.

Rainbow streaks of light painting on a black background.
Blog
July 25, 2023
Code out of the cage: Why secure developers can ship without limits

It seems baffling that most developers who work on code that powers critical infrastructure, automobiles, medical tech, and everything in between, do so without first verifying their security prowess. On the other hand, why do security-skilled developers, who have repeatedly proven that they understand how to build things securely, need to queue with everyone else in the ever-slowing development pipelines because of all the security gates?

Agile Learning Platform
Blog
July 24, 2023
The ROI of an Agile Learning Platform

The cost of addressing code vulnerabilities and technical debt is high and continues to suppress software development teams’ productivity. Learn how implementing an agile learning platform for secure code can more effectively train developers on secure coding techniques to fix vulnerabilities faster as well as earlier in the SDLC and prevent them in the first place to drive significant cost avoidance. This blog outlines how to think about the financial impact and ROI of an agile learning platform.

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Blog
July 13, 2023
Raising the bar for secure coding: Infusing agile learning into future-ready enterprises

We announced the closing of our Series-C funding round, having raised USD $50 million towards the next phase of our mission: helping more pioneering organizations harness the power of their development cohort in thwarting common vulnerabilities.

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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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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Read Case study

“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.

Still have questions?

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