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ThreatLocker: Why AI Security Remains a Problem of Trusted Access

While the industry fixated on artificial intelligence throughout August, ThreatLocker’s latest research suggests that modern breaches still rely on classic vulnerabilities. CEO Danny Jenkins argues that regardless of how sophisticated an attack appears, the core issue remains the excessive permissions granted to both human users and AI agents.

ThreatLocker: Why AI Security Remains a Problem of Trusted Access

The company’s August analysis highlights the persistence of ClickFix attacks, which exploit trusted system tools like PowerShell and Command Prompt to execute malicious commands. By intercepting ACR Stealer malware, ThreatLocker demonstrated that even security-aware users can be compromised if default infrastructure controls are not strictly enforced. The findings suggest a necessary shift in strategy from mere threat detection toward comprehensive containment and resilience.

AI tools have introduced new attack surfaces, but the primary risk is not the technology itself, but the lack of trust boundaries. Research into the Cursor AI hack and indirect prompt injection shows that autonomous agents often operate with excessive permissions. During Black Hat and DEF CON, Jenkins emphasized that organizations must define exactly what AI agents can access and change to prevent them from becoming conduits for malware. Complementing this research, ThreatLocker secured 190 million dollars in Series F funding to expand its global footprint, including a new office in Reading, U.K.

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