Datavault AI Inc, a provider of data monetization, credentialing, digital engagement, and real-world asset (“RWA”) tokenization technologies, announced they have signed a definitive agreement under which Datavault AI will acquire 100% of CyberCatch Holdings, a cybersecurity company offering a patented, AI-enabled platform for continuous compliance and cyber risk mitigation, in an all-cash transaction structured as a court-approved plan of arrangement under the Business Corporations Act (British Columbia). The acquisition is expected to bring CyberCatch’s AI-enabled continuous compliance and cyber risk mitigation platform into Datavault AI’s Quantum Private Network (QPN) GPU ecosystem, addressing a global information security market that Gartner projected would reach $213 billion in 2025.
Under the definitive agreement, Datavault AI will acquire all of CyberCatch’s issued and outstanding common shares, approximately 26.8 million shares, for USD $94,500,000 in cash, representing USD $3.53 per share to CyberCatch’s shareholders. All outstanding dilutive securities of CyberCatch will be exchanged on a cashless-exercise basis. Upon closing, subject to customary board, stock exchange, and any necessary regulatory and shareholder approvals, CyberCatch is expected to operate as a subsidiary of Datavault AI from San Diego, California, with CyberCatch founder, Chairman, and Chief Executive Officer Sai Huda serving as President of the subsidiary and reporting to Nathaniel T. Bradley, CEO of Datavault AI.
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Strategic Rationale
The combination is positioned at the intersection of two of cybersecurity’s largest secular markets. According to Gartner (2025), worldwide end-user spending on information security was projected to reach $213 billion in 2025, underscoring the scale of the market CyberCatch’s platform is expected to serve within Datavault AI’s SanQtum-secured edge ecosystem.
Threat actors are increasingly using AI to breach networks and deploy ransomware within minutes of first contact. According to CrowdStrike’s 2026 Global Threat Report, AI-enabled adversary attacks rose 89% year-over-year in 2025, and the average eCrime breakout time, the time from initial intrusion to data exfiltration, fell to 29 minutes, a 65% increase in adversary speed compared to 2024.
The combination is also positioned for the post-quantum security era. Google has set 2029 as its internal deadline to migrate authentication systems to quantum-resistant cryptography, and separate Google Quantum AI research has found that the qubit threshold required to break widely used elliptic curve cryptography is an order of magnitude lower than previously estimated, suggesting the timeline for a cryptographically relevant quantum computer may be shorter than previously assumed. CyberCatch is converting its patent-pending, multi-authority, attribute-based encryption with revocation (“MARS-MABE”) technology to attain quantum resistance, and combining MARS-MABE with continuous agentic AI penetration testing is expected to create a next-generation cybersecurity stack applicable across healthcare, defense, manufacturing, financial services, and energy.