Developing a leading national cyber workforce in the U.S. will take more than smart policy or even more smart people—it will require sophisticated enabling technology.
Lowering The Barrier Of Entry
Another way to lower the barrier of entry involves using AI to better enable and accelerate the learning process and help entry-level professionals learn on the job. Forms of AI and ML have been successfully used in the private sector to create automated, AI-driven investigations. For example, supervised ML has observed the investigations of world-class analysts, absorbing their expertise to enable the AI to conduct its own analysis.
Recent developments in explainable AI take this knowledge transfer a step further—XAI clearly spells out why it made each of its decisions throughout its investigative process. This prevents AI from becoming a"black box" and, instead, transforms it into a helpful mentor.
Recent developments in AI and ML have transformed readiness, enabling organizations to safely run live simulations of real-world cyberattacks—be it data theft, ransomware or rapid worm propagation—on their own assets and within their own environments. By providing teams with real-world experience managing attacks, AI helps significantly strengthen the readiness of existing cyber workers with incident simulations that are realistic and tailored to an organization.
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