Datavault AI (NASDAQ: DVLT) has entered a definitive agreement to acquire 100% of CyberCatch Holdings, Inc. (TSXV: CYBE) in an all-cash transaction. This strategic move integrates CyberCatch’s AI-enabled continuous compliance and cyber risk mitigation platform into Datavault AI’s Quantum Private Network (QPN) GPU ecosystem. The acquisition aims to address the expanding global information security market, which Gartner projects will reach $213 billion by 2025.
Datavault AI's $94.5 Million CyberCatch Acquisition
Datavault AI will acquire approximately 26.8 million issued and outstanding common shares of CyberCatch for USD $94,500,000 in cash. This represents USD $3.53 per share for CyberCatch shareholders. All outstanding dilutive securities will be exchanged on a cashless-exercise basis. Upon the successful closing of the transaction, which remains subject to customary board, stock exchange, and regulatory approvals, CyberCatch will operate as a subsidiary of Datavault AI. Based in San Diego, California, the subsidiary will be led by CyberCatch founder and CEO Sai Huda, who will serve as President and report directly to Datavault AI CEO Nathaniel T. Bradley. This structured plan of arrangement follows the Business Corporations Act of British Columbia.
Integrating MARS-MABE and Quantum-Resistant Security
The acquisition focuses on merging CyberCatch’s patented technology with Datavault AI’s SanQtum-secured edge ecosystem. CyberCatch is currently converting its patent-pending, multi-authority, attribute-based encryption with revocation (MARS-MABE) technology to achieve quantum resistance. By combining MARS-MABE with continuous agentic AI penetration testing, the combined entity intends to develop a next-generation cybersecurity stack. This integration is designed for high-stakes sectors including healthcare, defense, manufacturing, financial services, and energy. The move addresses the rising speed of AI-enabled adversary attacks, which CrowdStrike reported rose 89% year-over-year in 2025, and the shrinking window for data exfiltration, which has fallen to an average of 29 minutes.
Key Takeaways
- Datavault AI is acquiring CyberCatch for USD $94,500,000 in an all-cash transaction.
- CyberCatch will integrate its MARS-MABE technology to provide quantum-resistant encryption.
- The deal targets a global information security market projected by Gartner to reach $213 billion in 2025.
TechInsyte's Take
In our view, this acquisition is a calculated response to the accelerating "breakout time" of modern cyberattacks. By embedding CyberCatch’s agentic AI and MARS-MABE technology directly into a Quantum Private Network, Datavault AI is moving beyond reactive security toward a proactive, quantum-resistant posture. This signals a shift where infrastructure providers must integrate continuous, automated compliance directly into the edge ecosystem to counter AI-driven adversaries. For enterprise leaders, this highlights the necessity of adopting security layers that can match the sub-30-minute speed of modern eCrime.
Questions & Answers
How does this acquisition impact the timeline for quantum-resistant security?
The integration of MARS-MABE technology addresses the shrinking timeline for quantum threats, especially as research suggests the qubit threshold required to break current elliptic curve cryptography may be lower than previously estimated.
What specific technical capabilities is Datavault AI adding to its ecosystem?
Datavault AI is adding AI-enabled continuous compliance, automated cybersecurity check and resolution capabilities, and patent-pending, multi-authority, attribute-based encryption with revocation (MARS-MABE) to its GPU ecosystem.
Which industries are the primary targets for this new cybersecurity stack?
The combined technology is positioned for deployment across highly regulated and critical infrastructure sectors, specifically healthcare, defense, manufacturing, financial services, and energy.
What market data justifies the scale of this transaction?
The acquisition targets the information security market, which Gartner projects will reach $213 billion in 2025, and responds to an 89% year-over-year increase in AI-enabled adversary attacks.
Source: Datavault
