17 Feb Machine Learning Can Be A Powerful Force In Cybersecurity
This week in cybersecurity from the editors at Cybercrime Magazine
–Read the Full Story in Forbes
Sausalito, Calif. – Feb. 17, 2025
Cyberattacks have major ramifications—from significant financial loss and reputational damage to compliance violations and disruption of operations. In 2025, cybercrime is expected to cost the world $10.5 trillion in total damages, according to Cybersecurity Ventures.
Onyxia’s Regulations, Reporting, and Risk Management: Voice of the CISO report found that 84 percent of CISOs currently measure the effectiveness and performance of their security programs with either spreadsheets, analysts or a combination of the two approaches.
Sivan Tehila, CEO & Founder of Onyxia Cyber and Cybersecurity Masters Program Director at the YU Katz School of Science and Health, states in a Forbes article that now it’s time for innovation in data and machine learning to empower security leaders, especially as new compliance regulations, like the SEC cybersecurity disclosure rules, require precise risk management reporting.
Machine learning can be a powerful force in many industries, and cybersecurity is no exception. Getting the right information and the right insights from our security ecosystem data may just be the ticket to shining a light on stronger cybersecurity outcomes.
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