The article also talks about lowering the barrier of entry for aspiring cyber workers through AI and ML, which can help them learn on the job and understand how industry experts investigate incidents. It further discusses the role of AI in augmenting and enhancing existing cyber workers by performing autonomous investigations, reducing time-to-triage, and accelerating time-to-understanding. The author concludes by stating that AI and ML can significantly enhance efforts to close the cyber workforce gap and ensure that the U.S. has the world's most robust and ready cyber workforce.
Key takeaways:
- The Biden-Harris administration has been working on defining and educating the national cyber workforce for the future, with the private sector providing technology to match the needs of the cyber workforce.
- Artificial Intelligence (AI) and Machine Learning (ML) can play a significant role in creating new cyber workers and strengthening existing ones, by lowering the barrier of entry for aspiring cyber workers and helping to upskill the current workforce.
- AI can also help to augment and enhance existing cyber workers, serving as a force multiplier by performing autonomous investigations that lower time-to-triage and accelerate time-to-understanding.
- Recent developments in AI and ML have transformed readiness, enabling organizations to run live simulations of real-world cyberattacks on their own assets and within their own environments, thus significantly strengthening the readiness of existing cyber workers.