Staying Ahead of Today’s Threats
National security depends on staying ahead of the threat. At ÓÐÁϺÐ×ÓAPP, our intelligence and technical experts work together to keep you at the edge. Not just for today’s missions, but to face the challenges of tomorrow. Our national security experts understand the intelligence community and how to apply new technology to deliver strong outcomes. So that together, we can combat advanced adversaries … Identify potential risks… Analyze and optimize information… And integrate emerging technologies for next-generation capabilities. At ÓÐÁϺÐ×ÓAPP, we transform systems so you can take decisive action… Unlock solutions to the most complex problems… And disseminate critical information in the most austere of environments. When national security depends on you… We’re here… to propel your mission forward.
Building Responsible AI Systems
Responsible AI practices enable our organization and our clients to meet modern global challenges. We believe harnessing the power of AI—safely, securely, and transparently—is essential for the design and deployment of responsible AI systems for IC missions.
Moving Your Mission Forward with Emerging Technologies
How the U.S. Can Maintain AI Leadership
The realistically assesses the current state of AI and the investment required for the United States to maintain technology leadership, especially when safeguarding against shifting, increasingly malign threats. Building on that, provides direction on the responsible use of AI by the government in a way that maintains public trust, prioritizing development that is safe, secure, and protects privacy.
ÓÐÁϺÐ×ÓAPP experts weigh in on AI leadership from the health, public, and overall government perspective.
Why Do We Use Artificial Intelligence?
Intelligence organizations can use AI to enhance process efficiency and productivity for improved insights that strengthen national security. Here are a few examples.
- Automate mundane processes and increase intelligence throughput
Organizations can use AI to automate a large portion of the time- and resource-intensive intelligence analysis process, achieving the scale needed for processing and enabling analysts to focus on the challenging problems AI is not yet able to solve. - Allow analysts to derive value from previously inaccessible information
With AI, organizations can process the vastly increasing volume of multi-INT data in near-real time to detect patterns and anomalies, identify content that requires further processing, and discover insights never before possible. - Support fusion across data sources and types to allow for richer insights
By applying AI technologies such as natural language processing (NLP), analysts can review a broad range of data sources, rapidly develop summaries and correlations, and deliver unprecedented insights. - Continue to advance AI to augment the intelligence analyst
Sophisticated algorithms currently in development will expand the uses of AI and provide significant near-term value to the IC with minimal customization. Examples include NLP, large language models, generative AI, object detection, and automated data tagging.
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