GitHub Copilot accelerates development but can introduce security vulnerabilities. Here's what to watch for.
Researchers found that in security-relevant scenarios, Copilot frequently suggested insecure code patterns, especially for cryptography and injection prevention.
While not worse than average human code, Copilot didn't improve security either. The same patterns of vulnerabilities appeared.
Speed gains come at a cost. Security review time is compressed, leading to more vulnerabilities reaching production.
Copilot often suggests string concatenation for SQL queries instead of parameterized queries
// Copilot suggestion const query = "SELECT * FROM users WHERE id = " + userId;
// Secure version const query = "SELECT * FROM users WHERE id = ?"; db.query(query, [userId]);
Suggests dangerouslySetInnerHTML or unescaped output in templates
// Copilot suggestion
<div dangerouslySetInnerHTML={{__html: userContent}} />// Secure version
<div>{DOMPurify.sanitize(userContent)}</div>Suggests inline API keys and passwords, especially in config examples
// Copilot suggestion const API_KEY = "sk-1234567890abcdef";
// Secure version const API_KEY = process.env.API_KEY;
Generates CRUD operations without authorization checks
// Copilot suggestion
app.get("/users/:id", (req, res) => {
const user = db.getUser(req.params.id);
res.json(user);
});// Secure version
app.get("/users/:id", authenticate, (req, res) => {
if (req.user.id !== req.params.id && !req.user.isAdmin) {
return res.status(403).json({ error: "Forbidden" });
}
const user = db.getUser(req.params.id);
res.json(user);
});Suggests weak hashing algorithms (MD5, SHA1) for passwords
// Copilot suggestion
const hash = crypto.createHash('md5').update(password).digest('hex');// Secure version const hash = await bcrypt.hash(password, 12);
Don't auto-accept Copilot suggestions for authentication, database queries, cryptography, or input handling.
Add comments like '// Use parameterized query' or '// Validate input' to guide Copilot toward secure patterns.
Copilot learns from existing code. Using modern libraries increases chances of secure suggestions.
Enable 'Suggestions matching public code' blocking to avoid exact copies of potentially vulnerable code.
Ask Copilot Chat to explain security implications of suggestions or how to make code more secure.
Integrate SAST tools in your workflow to catch vulnerabilities Copilot introduces.
Automated scanning finds the vulnerabilities in Copilot-generated code. Scan your project in minutes.
Free Security ScanCopilot can produce both secure and insecure code. Research shows about 40% of security-relevant code contains vulnerabilities. It's not inherently insecure, but it doesn't prioritize security either. You need to review suggestions carefully, especially for authentication, data handling, and cryptography.
Copilot is trained on public GitHub code, which contains many vulnerabilities. It predicts likely code based on patterns, not security best practices. Additionally, Copilot optimizes for functional code that matches your context, not secure code.
No, but use it carefully. Copilot accelerates development significantly. The key is to maintain vigilance on security-critical code, use security-focused prompting, and add automated scanning to your workflow. The productivity benefits can outweigh risks with proper practices.
Copilot Chat can provide better security guidance because you can ask security questions and get explanations. However, it still has the same underlying model limitations. Use Chat to ask about security implications, but don't rely on it as your only security review.
GitHub has a feedback mechanism in Copilot. You can thumbs-down suggestions and provide feedback. For serious patterns, report through GitHub's security channels. The model is continuously updated based on feedback.
Last updated: January 16, 2026