Abusing supply chains: How poisoned models, data, and third-party libraries compromise AI systems
Datadog | The Monitor blog

Abusing supply chains: How poisoned models, data, and third-party libraries compromise AI systems


Summary

The Datadog engineering team discovered a malicious actor attempting to contribute harmful code to their open-source repositories via seemingly legitimate pull requests. This actor used AI to generate code that subtly bypassed existing security checks, aiming to inject cryptocurrency mining malware. Datadog successfully identified and removed the malicious contributions, highlighting the growing need for enhanced security measures to detect AI-generated threats in open-source projects.
Read the Original Article

This article originally appeared on Datadog | The Monitor blog.

Read Full Article on Original Site

Popular from Datadog | The Monitor blog

1
Datadog achieves ISO 42001 certification for responsible AI
Datadog achieves ISO 42001 certification for responsible AI

Datadog | The Monitor blog Mar 26, 2026 27 views

2
Understand session replays faster with AI summaries and smart chapters
Understand session replays faster with AI summaries and smart chapters

Datadog | The Monitor blog Apr 2, 2026 22 views

3
Integrate Recorded Future threat intelligence with Datadog Cloud SIEM
Integrate Recorded Future threat intelligence with Datadog Cloud SIEM

Datadog | The Monitor blog Apr 9, 2026 19 views

4
Introducing Bits AI Dev Agent for Code Security
Introducing Bits AI Dev Agent for Code Security

Datadog | The Monitor blog Mar 26, 2026 19 views

5
Platform engineering metrics: What to measure and what to ignore
Platform engineering metrics: What to measure and what to ignore

Datadog | The Monitor blog Apr 9, 2026 18 views