Background

Intelligence, operations and planning have evolved to be subjective and descriptive, generating low-quality assessments and limited actionable insights for decision-makers.

To address this problem effectively, FNA has built a range of solutions based on years of academic data science expertise and on-the-ground national security experience. 

FNA’s national security solutions enable automated reporting, visualization, analysis, and effects simulation via graph and machine learning technology. 

 

We significantly decrease bias, generate higher-quality intelligence assessments and enable accurate, rapid decision making.

Analyze, Detect, and Dismantle (AD2)

The F3EAD analysis cycle creates a presentation bias that remains present during targeting. This can overinflate the importance of a given query subject and decrease the perceived impact of other targets in a network.  

FNA’s Analyze, Detect, and Dismantle (AD2) solution decreases targeting bias, highlights secondary and tertiary targets and simulates effects, based on applied network science and machine learning.

 

 

Sensitive Activities Targeting

Today’s HUMINT Targeting officers must assess dynamic human behavior, primarily through the lens of non-diagnostic metadata derived from multiple sources of varying reliability. Many lack the tools to turn this data into actionable insights. 

FNA’s HUMINT Targeting solution allows analysts to easily utilize scientifically sound methods through a clickable interface.  We provide network and reporting visualizations that prioritize entities of interest-based on criteria specific to HUMINT operations.

Influence Maximization

Effective Information Operations (IO) rely on a deep understanding of communication networks. Networks analytics uncovers hidden insights and answers questions where traditional analysis is ineffective. 

FNA’s Influence Maximization deploys advanced network analytics for IO organizations to: 

  • Divide their target audience into functional subcomponents and identify the most influential nodes in each component. 
  • Identify networks with topics of interest and align planned messages with topics discussed by target audiences.
  • Identify which members in a network discuss topics of interest and can bridge different groups to pass messages on most effectively or clandestinely. 
  • Identify target audience members who move competing messages and create operational solutions to deny adversarial messaging or misinformation spread.

 

 

NAV-S (Network, Analysis, & Visualization Suite)

Commanders are often tied down with endless analysis, processes and presentations. 

FNA’s NAVS solution enables leaders to easily build and configure custom solutions based on intelligence and operation needs, including reporting, analytics workflows and visualizations. These dashboards can then be shared across your enterprise or reported to higher commands through a web-based application.

More Solutions

Digital Twin

Digital Twin

Rapidly build, test and optimize without disrupting real-world systems
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FMI Lifecycle

FMI Lifecycle

Design, validate, monitor, stress test, and optimize a financial market infrastructure.
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Suptech

Suptech

Analyze and run models and simulations on large datasets to identify risks and anomalies
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Intelligent Liquidity Optimization

Intelligent Liquidity Optimization

AI-driven network analytics & real-time stress testing for treasuring and liquidity teams.
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CBDC Simulation

CBDC Simulation

Model and simulate the impact of introducing a central bank digital currency.
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News and Events

The CBDC Broadcast Session #23
The Digital Pound Thursday 29th February | 3 pm With: | Jannah Patchay (Executive Director, Policy Lead & Originating Member of the Digital Pound Foundation) | Elise Soucie (Director of Global Policy and Regulatory Affairs, Global Digital Finance)   Guests Elise Soucie (Global Digital Finance) and Jannah Patchay (Digital Pound Foundation) join the CBDC Broadcast […]
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The Next Generation RTGS: Liquidity Saving Mechanisms as an Overlay Service
FNA Papers Series: 2024   Written by:  | Dr Carlos León (FNA & Tilburg University) | Dr Kimmo Soramäki (FNA)   As many RTGS systems reach the end of their investment cycle, FNA’s Dr Carlos León and Kimmo Soramäki consider the technology the next generation of systems should employ, making the case for a Liquidity Saving […]
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