How cyber ranges can help build trust in AI

IRSNews.com brief · 45d ago · 1 min read · via route-fifty.com

The public and private sectors are turning more and more to closed environments to help prepare for a cyberattack. Experts said they can also build an understanding of AI and its capabilities.

The use of cyber ranges, also known as closed environments or simulated environments, is becoming increasingly popular in both the public and private sectors as a way to prepare for and respond to cyberattacks. These environments allow organizations to test and train in a controlled setting, which can help build trust in artificial intelligence (AI) and its capabilities. By doing so, organizations can better understand how AI can be used to enhance their cybersecurity efforts.


The growing interest in cyber ranges is driven in part by the increasing complexity and sophistication of cyber threats. As these threats continue to evolve, it's becoming clear that traditional security measures may not be enough to protect against them. AI and machine learning can play a key role in enhancing cybersecurity, but there is still a need for greater understanding and trust in these technologies. Cyber ranges can help address this need by providing a safe and controlled environment for testing and training.


Going forward, it's likely that we'll see even more emphasis on the use of cyber ranges and other simulated environments to build trust in AI and enhance cybersecurity. The IRS and other government agencies, as well as private sector organizations, will likely continue to invest in these types of environments as a way to stay ahead of emerging threats. As this trend continues, it will be important to watch how effective these environments are in building trust in AI and improving cybersecurity outcomes.

Originally reported by route-fifty.com. IRSNews adds analysis for government & civic readers.

Originally reported by route-fifty.com. IRSNews.com curates and briefs the government & civic stories that matter. Our editorial policy →
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