---
date: '2025-11-08'
description: The September 2025 update of the ATLAS framework introduces version 4.6.0,
  emphasizing Agentic AI TTPs in collaboration with Zenity. The data upgrade to v5.0.0
  includes a new "Technique Maturity" field, evaluating techniques on feasibility,
  demonstration, and real-world application. Notable additions include techniques
  for AI agent context poisoning, credential harvesting, and data exfiltration via
  AI tools. The release enhances the repository with practical insights, including
  a new case study on circumventing ML phishing detection. This development reflects
  a growing focus on securing AI-driven environments amid evolving threats.
link: /archive/2025-10-22-updates-mitre-atlastm
tags:
- cybersecurity
- case studies
- TTPs
- data analysis
- AI
- weblog
title: "Updates \u25C6 MITRE ATLAS\u2122"
type: weblog
---
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Atlas is evolving. We're seeing real threats in the wild.

---

> This website update includes new TTPs focused on Agentic AI developed in collaboration with Zenity and a new case study from a user submissions.

Really excited about this Zenity-MITRA collab! The Atlas team has been incredible to work with.

---

> - Feasible – The technique has been shown to work in a research or academic setting - Demonstrated – The technique has been shown to be effective in a red team exercise or demonstration on a realistic AI-enabled system - Realized – The technique has been used by a threat actor in a real-world incident targeting an AI-enab

Atlas is evolving to show the very important nuance between research and realized threats.

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