北美防空防天司令部利用AI发现过去“看不见”的威胁

美国C4ISRNET网站3月1日报道

北美防空防天司令部实施的“探路者”计划,旨在利用AI发展新的情报能力,可探测到以前注意不到的威胁,为北美空域提供监视与保护。“探路者”计划可汇聚融合来自军事、商业、政府系统数据并生成通用作战态势图,为北美防空防天司令部和美军北方司令部提供信息支持。身兼两职司令的格伦·冯范克上将称,这些数据过去长期搁置,分散在各个系统,“烟囱”式孤立,做不到及时分析和评估,2015年发生的旋翼机降落在白宫草坪而未能早期预警的事件,已说明了这个问题。“探路者”计划由国防部国防创新单元联合研制,利用机器学习技术分析来自不同信息源的数据,将为缩短数据驱动决策时间和提升能力奠定基础。


NORAD is using artificial intelligence to see the threats it used to miss

Nathan Strout C4ISR 3月1日

A small helicopter sits on the lawn of the U.S. Capitol on April 15, 2015. NORAD says its new artificial intelligence system would have detected the potential threat. (Manuel Balce Ceneta/AP)

WASHINGTON — The U.S. military command charged with watching and protecting North American airspace is now using artificial intelligence to detect the threats that previously slipped its notice.

The new capability, named Pathfinder, fuses data from military, commercial and government sensors to create a common operating picture for North American Aerospace Defense Command and U.S. Northern Command.

“It essentially takes and ingests — aggregates — data from multiple systems, data that would in the past have been … left on the cutting room floor and not analyzed or assessed in a timely manner,” said Gen. Glen VanHerck, who commands NORAD and USNORTHCOM, during the Air Force Association’s virtual Air Warfare Symposium last week. “The Pathfinder program uses machine learning to help us analyze that data from multiple systems — not only military systems, but commercial systems, other government agency systems.”

Previously that data stayed in separate systems, preventing NORAD from seeing the whole picture and allowing potential threats to slip through unnoticed. VanHerck pointed to a 2015 incident when a gyrocopter landed on the White House lawn as an example of how stovepiped systems prevented NORAD from seeing a potential threat.

“When you go back and look at that scenario, when you look at those systems that monitor the national Capitol region individually, no single system had full awareness or saw that gyrocopter,” he explained.

Pathfinder solves that problem by taking the data from each of those systems and fusing it into a common operating picture. In developing Pathfinder, NORAD virtually recreated the 2015 event by plugging the data from that day into its new AI-machine learning capability.

“We took Pathfinder and applied it to the available systems, the actual data, and used Pathfinder capabilities to assess that data,” said VanHerck. “And sure enough, there that gyrocopter was and he was easily detected by that point.”

To prototype pathfinder, NORAD partnered with the Defense Innovation Unit, a Pentagon organization that specializes in using emerging commercial technologies for military purposes. DIU Director Mike Brown said in December that Pathfinder was completed in record time — just a few months over a year.

In February, Kinetica announced it received a $100 million, five-year contract from the U.S. Air Force to use the Kinetica Streaming Data Warehouse for Pathfinder. The company’s service “ingests, analyzes and visualizes massive data sets … in order to model possible outcomes and assess risk,” according to Kinetica’s description.

“We’re using it today,” said VanHerck. “It’s out in our fields and our sectors right now. Historically our sectors were very manually driven — phone calls to pass data, etc. Today we fuse all that data together, and we’re seeing the picture much more real-time and much more in an automatic type of digital environment.”

Pathfinder can fuse data from more than 300 sensors to build its common operating picture, Brown noted. Beyond helping NORAD find more potential threats, Pathfinder also enables operators to move faster to assess those threats.

“We dramatically reduced their decision time — they have about 12 minutes to make a decision if they really thought there was an attack coming in over North American airspace — and we’ve cut minutes off that by giving them this common operating picture,” said Brown.

In many ways, Pathfinder is a microcosm of the Pentagon’s Joint All Domain Command and Control concept, which seeks to use AI and emerging technologies to connect every sensor to the best shooter.

“What we’ve been able to do with NORAD in this fusing of sensor data and providing a common operating picture for better decision making, if you think about it, that’s the guts of what’s in JADC2,” said Brown. “That technology is going to continue to have broad applicability. And I won’t be surprised at all as we work on some other projects to see other applications of that basic technology be delivered.”

“I absolutely believe it can be a model for the Department of Defense,” said VanHerck. “It lays the foundation for improved data-driven decision-making and enhanced capability.”

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