Fortaegis is developing a new computing paradigm that fundamentally strengthens security and resilience by embedding trust directly into the semiconductors at the core of digital systems. Based on more than 15 years of research and now operating globally with offices in Tokyo, Amsterdam, Palo Alto, London, and Munich, Fortaegis integrates security at the hardware level, enabling hardware and software to operate together with integrity and reliability across large, distributed networks, including those supporting AI-driven workloads in civilian and defence systems.
Most computing systems today depend on security measures implemented primarily in software, layered on top of standard hardware. As these systems scale in complexity and data intensity, particularly with the rise of AI and distributed inference, this approach increases cost, degrades performance, introduces fundamental limits on the number of nodes that can operate securely within a network, and expands the attack surface. Fortaegis takes a fundamentally different approach by embedding security directly into silicon. Each semiconductor incorporates a unique, unclonable physical identity, allowing systems to authenticate devices and processes without relying on stored cryptographic keys or external certificate authorities.
This silicon-rooted trust extends upward through the entire compute stack, from the chip through firmware and system software. By unifying proprietary chips, firmware, and software into a full-stack platform, Fortaegis embeds security, performance, and data sovereignty directly into silicon, creating a physical backbone for ultra-fast and quantum-safe processing, communication, and storage across distributed systems. Data, including models, weights, and inference results, remains protected as it is processed, stored, or transmitted at high speed, while maintaining compatibility with existing digital infrastructure. By anchoring trust in hardware, Fortaegis eliminates many of the performance trade-offs traditionally associated with secure computing, enabling secure AI at scale and resilience against advanced cyber threats, including those posed by future quantum technologies.
Deployments are prioritized for environments where speed, security, and scale are mission-critical, from drone fleets in contested airspace, to autonomous manufacturing lines, self-driving vehicles, industrial automation, and secure sovereign AI cloud-to-edge networks.