Priya PatelTLDR: Automation and artificial intelligence have been part of information technology for many years, but can cyber risk quantification be automated? Ryan Subers explores the benefits and challenges of automating cyber risk quantification in this Axio blog post.
In the blog post, Subers notes that automation is a cybersecurity buzzword for good reason. Automating certain processes can save time and resources, improve accuracy, and reduce human error. However, when it comes to quantifying cyber risk, there are several challenges that make automation difficult.
Subers highlights the following key points:
- Cyber risk quantification involves assessing the potential impact and likelihood of cyber threats and vulnerabilities.
- Traditional cyber risk quantification methods rely on manual assessments and data gathering, which can be time-consuming and prone to human error.
- Automating cyber risk quantification can improve efficiency and accuracy, but it requires advanced technologies such as machine learning and data analytics.
- There are several challenges to automating cyber risk quantification, including the lack of consistent and reliable data, the complexity of cyber threats, and the need for human expertise in interpreting results.
- Despite these challenges, automation has the potential to revolutionize cyber risk quantification by providing real-time insights and enabling organizations to make data-driven decisions.
Overall, Subers concludes that while complete automation of cyber risk quantification may not be feasible at this time, there are opportunities to leverage automation technologies to augment and improve existing processes. Organizations should focus on developing robust data collection and analysis capabilities, as well as investing in advanced technologies that can support automation in the future.
