Code Defence Cyber security

CrowdStrike: “DeepSeek” AI Generates Insecure Code on Sensitive Prompts

New research from CrowdStrike indicates that the “DeepSeek” AI model is prone to generating code with security flaws when prompts involve politically sensitive topics. This suggests that alignment filters may inadvertently degrade the model’s coding capabilities in specific contexts.

Business Impact

This reveals a hidden risk in AI-assisted development. Relying on unvetted or specific foreign AI models for code generation can introduce systemic vulnerabilities into software products, creating a new form of supply chain risk.

Why It Happened

The model’s training or fine-tuning process appears to prioritize content filtering over code correctness in certain scenarios, leading to the generation of insecure or buggy code structures.

Recommended Executive Action

Establish strict governance on which AI coding assistants are permitted. Mandate that all AI-generated code must undergo rigorous human review and automated security scanning (SAST) before deployment.

Hashtags: #AI #SecureCoding #DeepSeek #CrowdStrike #AppSec #DevSecOps #CyberSecurity #InfoSec

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