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Is AI-Generated Code Secure? Testing Claude Opus 5.5

Published

29 September 2026

Topic

technology

◆ Sectors

AI Frontier ModelsCybersecurity

◆ Geography

United States

◆ Source

Read at semgrep.dev →

◆ Verified

Fusion42 · 29 September 2026 · Fusion42 review

Claude Opus 5.5 was tested on the SusVibes benchmark covering 186 real vulnerability tasks in Python code, achieving 93.5% functional correctness but only 54.8% when also requiring security. Over half of its solutions closely matched existing public fixes, indicating memorisation of training data rather than novel secure code generation.

This Wire brief sits within Fusion42's coverage of AI Frontier Models and Cybersecurity.

◆ ◆ The Wire takeaway

Your trust in AI-generated code’s security must distinguish between models recalling known fixes and genuinely secure new code. Focus on tools that prove security beyond benchmark scores to avoid hidden vulnerabilities.

◆ Coverage

1 source · 29 Sep 2026

◆ Related on Wire

◆ Topics

AI Frontier ModelsCybersecurityai-codesecurity-benchmarkvulnerability-fixcode-memorisation