Available Infrastructure unveiled SanQtum, which combines national security-grade cyber protection and trusted enterprise artificial intelligence (AI) capability, according to the company.
In the modern era, AI-powered, machine-speed decision-making is crucial. Yet a fast-evolving and increasingly sophisticated threat landscape puts operational technology (OT) and cyber-physical systems (CPS), IP and other sensitive data, and proprietary trained AI models at risk. SanQtum is a direct response to that need.“…AI is now seemingly everywhere. So are cyber threats, from nation-state attacks to criminal enterprises. In this environment, decision-making without AI — and AI without cybersecurity protections — are no longer negotiable; they’re mandatory.” —Daniel Gregory, CEO of AvailableSanQtum’s cybersecurity protections include zero trust permissions architecture, quantum-resilient data encryption, and are aligned to DHS, CISA, and other US federal cybersecurity standards. Sovereign AI models with ultra-low-latency computing enable secure decision-making at machine speed when milliseconds matter, wrapped in cyber protections to prevent data theft and AI model poisoning.
The need for more sophisticated cybersecurity solutions is widespread and growing by the day. Globally, the cost of cybercrimes to corporations is forecasted to nearly triple, from $8 trillion in 2023 to $23 trillion by 2027. For government agencies and critical infrastructure, cybersecurity is literally a matter of life and death.
“As we head into the July 4th weekend, which has historically seen a surge in cyber attacks each year, security is top-of-mind for many Americans, businesses, and government agencies,” said Daniel Gregory, CEO of Available. “We live in a digital world. And AI is now seemingly everywhere. So are cyber threats, from nation-state attacks to criminal enterprises. In this environment, decision-making without AI — and AI without cybersecurity protections — are no longer negotiable; they’re mandatory.”
Source: https://insideainews.com/
