Threat Intelligence

Threat intelligence encompasses the collection, analysis, and distribution of information about cyber attacks, vulnerabilities, and malicious actors targeting an organization or its AI systems. In enterprise AI governance, threat intelligence helps security teams identify risks to model infrastructure, training data pipelines, and deployed AI applications before they can be exploited. Organizations use this intelligence to inform security policies, prioritize remediation efforts, and maintain compliance with regulatory requirements around data protection and system integrity.

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ResearchGlobal2026-08-03

89% Surge in AI-Enabled Attacks Makes AI Infrastructure a Primary Control Surface

CrowdStrike's 2026 Threat Hunting Report documents an 89 percent rise in AI-enabled cyberattacks during 2025, with adversaries using AI throughout the attack chain while simultaneously targeting AI systems as high-value assets. Attack techniques now include LLMjacking, AI supply-chain compromise, and credential harvesting from developer AI tools. Effective patch windows have collapsed to 24 to 48 hours, fundamentally changing the operational tempo required for enterprise AI security programs.

CrowdStrike LLMjacking AI security supply chain risk threat intelligence credential harvesting nation-state threats