---
type: "Evidence Item"
title: "Partnering with Mozilla to improve Firefox’s security"
description: "AI models can now independently identify high-severity vulnerabilities in complex software. As we recently documented, Claude found more than 500 zero-day vulnerabilities."
resource: "https://www.anthropic.com/news/mozilla-firefox-security"
tags: ["appendix-iii", "benchmark", "anthropic"]
timestamp: "2026-03-06"
category: "benchmark"
publisher: "Anthropic"
cope_score: 76
confidence: 0.88
---

# Partnering with Mozilla to improve Firefox’s security

# Claim

AI models can now independently identify high-severity vulnerabilities in complex software. As we recently documented, Claude found more than 500 zero-day vulnerabilities (security flaws that are unknown to the software’s maintainers) in well-tested open-source software. In this post, we share details of a collaboration with researchers at Mozilla in which.

# Relevance

Appendix III, section one: model and benchmark capability evidence

# Oracle Verdict

This belongs in the register because benchmark and model-release claims set the ceiling for the next wave of deployment stories. The labour-market effect is indirect today, but it becomes direct when these gains are packaged into agents, APIs, and enterprise tools.

# Metadata

* Publisher: Anthropic
* Category: benchmark
* Sector: Software engineering
* Capability: Cyber defence and misuse monitoring
* Cope score: 76
* Confidence: 0.88

# Related Concepts

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

# Citations

[1] [Partnering with Mozilla to improve Firefox’s security](https://www.anthropic.com/news/mozilla-firefox-security)
