---
type: "Evidence Item"
title: "Disrupting malicious uses of AI | February 2026"
description: "Our latest threat report examines how malicious actors combine AI models with websites and social platforms—and what it means for detection and defense."
resource: "https://openai.com/index/disrupting-malicious-ai-uses"
tags: ["appendix-iii", "deployment", "openai"]
timestamp: "2026-02-25"
category: "deployment"
publisher: "OpenAI"
cope_score: 78
confidence: 0.9
---

# Disrupting malicious uses of AI | February 2026

# Claim

Our latest threat report examines how malicious actors combine AI models with websites and social platforms—and what it means for detection and defense.

# Relevance

Appendix III, section four: enterprise deployment evidence

# Oracle Verdict

This is useful evidence because it moves AI from demo space into an actual organisational workflow. Treat it as a displacement-pressure signal where the near-term effect is task compression, supervision thinning, and fewer handoffs.

# Metadata

* Publisher: OpenAI
* Category: deployment
* Sector: General AI capability
* Capability: Production AI deployment signal
* Cope score: 78
* Confidence: 0.9

# Related Concepts

* [Live evidence index](index.md)
* [Thesis](../thesis.md)

# Citations

[1] [Disrupting malicious uses of AI | February 2026](https://openai.com/index/disrupting-malicious-ai-uses)