- 5
- April
Following the Claude Code incident where 512,000 lines of source code were leaked along with the critical vulnerabilities that followed — the key question for organizations is "How should we prepare?" This EP 3/3 article analyzes the lessons learned, complete with a Checklist for organizations that use or are planning to use AI tools in their operations.
Quick Summary — What Do You Need to Do?
Organizations using AI tools (whether Claude Code, GitHub Copilot, or others) must have an AI Governance Policy, audit their Supply Chain Security, establish clear Access Controls, and train employees to recognize emerging threats — this article includes a 10-point checklist you can implement immediately.
Why Does This Incident Matter for Organizations?
AI tools are being adopted by organizations at an increasing rate every day, in both the public sector and private sector. Many organizations use AI coding tools but still lack governance policies, and supply chain attacks don't only happen to foreign companies.
- AI tools are being adopted more widely — including AI Coding, AI Chatbots, and AI Document tools at every level of the organization
- Many organizations still lack an AI Governance Policy — using AI without any rules or oversight
- Supply chain attacks can happen to any organization — not limited to large technology companies
- Organizational data is at risk — when AI tools have access to internal systems
| Type | Examples | Risks |
|---|---|---|
| AI Coding | Claude Code, GitHub Copilot, Cursor | Supply chain, Code leak |
| AI Chatbot | ChatGPT, Claude, Gemini | Data leak, Hallucination |
| AI Document | Microsoft Copilot, Google Duet | Sensitive data exposure |
Lesson 1 — Supply Chain Security Is More Important Than You Think
npm, pip, maven — package managers are a critical weak point in the software development supply chain. The Claude Code incident demonstrated that even packages from major global vendors can have problems — a fake axios package containing a RAT (Remote Access Trojan) was created within hours of the leak.
Organizations that develop software or use ERP systems must pay greater attention to Supply Chain Security:
| Measure | Description | Difficulty Level |
|---|---|---|
| Pin Dependencies | Lock dependency versions to prevent automatic updates | Easy |
| Verify Checksums | Check the hash of packages before installation | Medium |
| Private Registry | Use the organization's private registry | Hard |
| SBOM | Create a Software Bill of Materials | Medium |
| Dependency Scanning | Use automated vulnerability scanning tools | Medium |
Lesson 2 — AI Governance Policy Is Essential
Organizations must define which AI tools are permitted, specify what data is prohibited from being sent to AI, and have an approval process for new AI tools. Organizations with clear AI Governance significantly reduce their risk exposure.
Minimum AI Governance Policy Example
- List of approved AI tools — clearly define which tools employees may use
- Data types prohibited from AI input — e.g., customer data, credentials, core system source code
- Approval process for new AI tools — must pass IT Security review first
- Designated AI security officer — assign a specific person responsible for this area
Lesson 3 — Access Control for AI Tools
AI coding tools often require elevated access — to the file system, terminal, and git. The Claude Code leak demonstrated that deny rules can be bypassed. Organizations must restrict access to the minimum necessary (Principle of Least Privilege) and clearly separate development environments from production.
| Action Required | Done? |
|---|---|
| Restrict AI tools to access only the project directory | ☐ |
| Prevent AI tools from accessing production credentials | ☐ |
| Use separate SSH keys for AI tools | ☐ |
| Log every command that AI tools execute | ☐ |
| Review AI-generated code before merging | ☐ |
Lesson 4 — Incident Response Must Be Ready
Anthropic responded within hours of the incident — but the code had already been mirrored to multiple locations. This teaches us that speed of response is everything. Organizations must have a playbook for AI-related incidents and know exactly what to do if an AI tool they use is compromised.
- Have a dedicated Incident Response Plan for AI — not just a generic plan
- Define Communication Channels — who notifies whom, when, and how
- Conduct Tabletop Exercises — simulate a scenario where an AI tool is compromised
- Have a Rollback Plan — if you need to stop using an AI tool immediately, how do you continue working?
10-Point Checklist — Before Using AI Tools in Your Organization
Compiled from the four lessons above, here are 10 items that organizations can start implementing immediately:
| # | Item | Category |
|---|---|---|
| 1 | Establish an AI Governance Policy | Policy |
| 2 | Create a list of approved AI tools | Policy |
| 3 | Define data types prohibited from AI input | Data Protection |
| 4 | Configure Access Control (Least Privilege) | Security |
| 5 | Pin dependencies + use private registry | Supply Chain |
| 6 | Implement automated Dependency Scanning | Supply Chain |
| 7 | Separate dev environment from production | Security |
| 8 | Review AI-generated code before merging | Quality |
| 9 | Train employees on AI Security awareness | Training |
| 10 | Prepare an Incident Response Plan for AI | Response |
Saeree ERP and Security Standards
Saeree ERP prioritizes organizational data security
- Supports Two-Factor Authentication (2FA) — dual-layer identity verification
- Digital Signature system — digital signatures for critical documents
- Supports Disaster Recovery — system recovery plan for emergencies
- SSL A+ Rating — highest level of data encryption
For organizations concerned about overall IT system security, you can contact our advisory team for further discussion.
Summary — 4 Key Lessons from the Claude Code Leak
| Lesson | What to Do |
|---|---|
| Supply Chain Security | Pin deps, verify checksums, private registry |
| AI Governance | Policy, approved list, data classification |
| Access Control | Least privilege, separate environments |
| Incident Response | Playbook, quick response plan |
The Claude Code Leak teaches us that AI tools, no matter how large the company behind them, always carry security risks — the difference is between organizations that are prepared and those that are not.
— Saeree ERP Team
Continue Reading — EP 1 and EP 2
- EP 1: Claude Code Source Code Leaked — What Happened?
- EP 2: Critical Vulnerabilities Discovered After the Source Code Leak
References
- Straiker — Claude Code Source Leak: With Great Agency Comes Great Responsibility
- Coder Blog — What the Claude Code Leak Tells Us About Supply Chain Security
- eSecurity Planet — Claude Code Leak Exposes AI Supply Chain Threats
- Penligent AI — Claude Code Source Map Leak, What Was Exposed and What It Means
- AI Tool Analysis — Claude Code Leak 2026
If your organization is looking for an ERP system that prioritizes data security with the highest standards, you can schedule a demo or contact our advisory team for further discussion.
