The Internet has enhanced communications, increased commerce, and brought people together socially. Unfortunately, it has also enabled malicious activity with data breaches, ransomware, destroyed systems, and the Dark Web. Cyberattacks have become so common that only the large ones make the news now. The United States is arguably the most "wired" country in the world, with everything from cars to refrigerators to security cameras connected online, making us also the most vulnerable. Because the open Internet is driven by cost and speed and not by security, continual cyberattacks have pushed us into a new kind of Cold War — with artificial intelligence (AI) serving as the basis of this arms race.
From Moonlight Maze in the late 1990s to the recent SolarWinds attack, we have seen malware and ransomware planted in our infrastructure and systems. Nation-states have staged cyberattacks, often as a prelude to military actions. Attacks launched from the open Internet are at a constant level of activity, just below armed conflict.
We think of cyberattacks in terms of router configurations or malware code, but the tremendous amounts of communications traffic make cybersecurity a field of data science. All the new sensors and Internet of Things devices produce tremendous amounts of data that can be analyzed to detect adversary activity. Such massive volumes of data need analytic techniques to synthesize the essence of the activity for human understanding and decision-making.
The use of AI to analyze these massive amounts of cyber data and capabilities is growing exponentially. In 2016, when the AI-driven Alpha Go beat the world Go ..
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