ThreatLocker has raised $190 million [1] in Series F funding to expand its zero-trust platform against AI-driven security threats.
This investment comes as malicious AI agents increase the sophistication of cyberattacks, forcing security firms to move beyond traditional detection methods to prevent unauthorized execution.
Danny Jenkins, CEO and co-founder of ThreatLocker, said the funding during an interview at the Black Hat USA 2026 conference in Las Vegas. The funding round, announced July 29, 2026 [4], was led by Elephant with significant investment from Koch Disruptive Technologies [5].
ThreatLocker currently protects approximately 70,000 companies [3]. The company intends to use the capital to extend its zero-trust protections to AI agents and reduce alert fatigue for security operations centers. Jenkins said the company is focusing on preventing threats rather than simply reacting to them.
Based in Orlando, Florida, the firm is using the capital for a global push, including the opening of a new office in the United Kingdom.
The shift toward zero-trust architecture aims to eliminate the inherent trust usually granted to software running within a network. By requiring strict verification for every process, the company seeks to neutralize the advantage that AI-driven malware gains through rapid adaptation.
“ThreatLocker has raised $190 million in Series F funding to expand its zero-trust platform.”
The scale of this funding indicates a strategic shift in the cybersecurity industry toward 'default-deny' postures. As AI allows attackers to create polymorphic malware that bypasses traditional signature-based detection, the industry is pivoting toward zero-trust models that block all unapproved activity by default, regardless of whether a threat has been previously identified.
