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CrowdStrike Partners with MITRE Center for Threat-Informed Defense to Launch Secure AI Project

ID: 3d4552a0-fd54-554a-8a2f-0a71713ae1ec

STIX ID: report--3d4552a0-fd54-554a-8a2f-0a71713ae1ec

Feed Name: Crowdstrike Blog

Date Published: 2024-11-22

Date Updated: 2026-04-27

Author: Aditya Kapoor - Daniel Chipiristeanu - Brad Moon

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This report highlights CrowdStrike’s collaboration with the MITRE Center for Threat-Informed Defense on the Secure AI project to enhance the MITRE ATLAS framework with new AI-focused TTPs (e.g., Acquire Infrastructure: Domains, Erode Database Integrity, Discover/Publish LLM Hallucinations), emerging threats (privacy/membership inference, LLM behavior modification, jailbreaking, tensor steganography), and mitigations (model alignment, guardrails, guidelines, AI Bill of Materials, AI telemetry logging). It emphasizes the growing adversary focus on AI-enabled systems and references a case study involving a large-scale cryptomining incident on Ray clusters, underscoring the need for threat-informed defenses for AI systems.

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