Connect the Unconnectable: The Importance of Decision Dominance in the Age of AI

In the current digital era, decision dominance has emerged as a crucial asset for governments globally. As artificial intelligence becomes increasingly integrated in defense strategies, timely and precise decision-making is more important than ever. This concept is essential for maintaining a competitive edge, particularly as technology advancements enhance adversaries’ capabilities.

A report [1] by the U.S. Department of Defense highlights the important importance of investing in and leveraging AI. It emphasizes that achieving decision advantage necessitates enhanced collaboration and connectivity, empowering warfighters with the tools and resources needed to make quicker and more informed decisions.

Siloed Information Sharing is Prohibitive to Decision Dominance

Effective connectivity is crucial for fostering the collaboration required for decision dominance. Currently information sharing exists in silos, with fragmented data dispersed across various sources, formats, and systems. This fragmentation limits visibility and complicates the ability to seamlessly transverse domains, agencies, and classification levels.

Many processes remain manual, leading to time-consuming and error-prone data sharing and integration. Additionally, the challenge of information overload –where an excess of data fails to provide clearer insight – hampers decision-making and slows response times, compromising situational awareness. Data locked in different classification silos also may obstruct comprehensive access and analysis.

Connecting the Unconnectable in the Age of AI

In the future, more seamless connectivity across networks, agencies, and partners at various security levels will be essential. A connected infrastructure, with a unified data fabric which standardizes data across domains, agencies, and classification levels, is key. Achieving timely visibility and seamless mission-essential data access, anytime and anywhere, will dramatically enhance collaboration. Integrating data across classification levels and automating processes through machine learning and AI will streamline data sharing, enable predictive analytics, and an improve data visualization, leading to more informed decision making. Rapid decision-making and swift action in response to emerging threats or opportunities must become the norm.

This vision is not a distant dream; Everfox is pioneering efforts to remove barriers and helping to enable seamless connectivity to mission-critical applications today.
At DoDIIS Worldwide 2024 (opens a new window), our Chief Technology Officer, George Kamis, will share these insights in a session titled “Connecting the Unconnectable.” Join this lunch and learn to discover how technologies like Everfox Cross Domain Transfer Solutions, Everfox Trusted Thin Client (TTC) Multi-Enterprise Spanning Architecture and Garrison SAVI are revolutionizing access to previously inaccessible information for warfighters. George Kamis will discuss how these solutions are transforming secure collaboration and information sharing all while maintaining the highest levels of security and control.

If you can’t make the session, be sure to stop by Booth 1225 to talk to our team attending DoDIIS and request a demo (opens a new window).

Schedule a Live Demo of Everfox High-Assurance Cybersecurity Solutions

We invite you to to request a demo (opens a new window) or connect with our team to explore our advanced solutions in Cross Domain access and transfer, Insider Risk management, and Threat Protection. Our technologies are designed to bolster the US Government and military missions in creating a resilient enterprise. Our mission tested cybersecurity solutions are designed to empower the Department of Defense in overcoming adversaries and staying ahead of emerging threats in all domains.

Don't miss this opportunity to schedule an in-person demo (opens a new window) with our team of experts attending DoDIIS today and discover how we can support your mission critical operations.

Sources

[1] https://media.defense.gov/2023/Nov/02/2003333300/-1/-1/1/DOD_DATA_ANALYTICS_AI_ADOPTION_STRATEGY.PDF (opens a new window)