# [MED] 4 AI coding risks and how to address them

**Source:** Snyk
**Published:** 2024-06-13
**Article:** https://snyk.io/blog/4-ai-coding-risks/

## Threat Profile

Snyk Blog In this article
Written by Liqian Lim (林利蒨) 
June 13, 2024
0 mins read 96% of developers use AI coding tools to generate code, detect bugs, and offer documentation or coding suggestions. Developers rely on tools like ChatGPT and GitHub Copilot so much that roughly 80% of them bypass security protocols to use them.
That means that whether you discourage AI-generated code in your organization or not, developers will probably use it.  And it comes with its fair share of risks. 
On one han…

## Indicators of Compromise (high-fidelity only)

- _No high-fidelity IOCs in the RSS summary._ If the source publishes a technical write-up with defanged IOCs in the body, those would be picked up automatically on the next pipeline run.

## MITRE ATT&CK Techniques

- _Narrative-keyword inference returned no technique mappings; review article for ATT&CK relevance manually._

## Kill chain phases observed

_(none detected from narrative keywords)_

## Recommended hunts

_No actionable hunts can be derived from the RSS summary alone. The article may still warrant manual review — open the source link for actor attribution, IOCs in the body, and TTP detail._


## Why this matters

Severity classified as **MED** based on: 0 use case(s) fired, 0 technique(s) inferred. Read the full article for actor attribution, tooling details, and any defanged IOCs in the body that aren't visible in the RSS summary.