According to latest reports, 48% of businesses globally use machine learning as of 2024. 65% of companies planning to adopt machine learning say the technology helps businesses in decision-making. These Statistics show that in today's tech-driven world, Machine Learning (ML) has become a big deal. Machine Learning (ML) is a subset of artificial intelligence (AI) that focuses on the development of algorithms and models. This enables computers to make predictions based on data. ML systems can perform a number of tasks like image classification, language translation and autonomous vehicle control. Also many industries, including healthcare, finance, e-commerce, and manufacturing, have embraced ML to improve efficiency, productivity, and decision-making processes. ML algorithms allow computers to identify patterns, classify data, and make decisions with minimal human intervention. However, despite these exceptional abilities, ML introduces new cyber security risks li
The Security Dilemma of ROI: Security leaders walk a never-ending tightrope of balancing security needs against budgetary constraints. One 2023 (ISC)² Cybersecurity Workforce Report shows this issue in how 64% of organizations struggle with quantifying the value derived from their security programs. It is easy to understand that budget limitations are real, but selecting short-term savings at the expense of robust security practices is a bet that grows increasingly dangerous. IBM Security 2023 Cost of a Data Breach Report the average cost per incident is an incredible $4.35 million dollars. So, the question is; how to demonstrably improve your security posture, without breaking the bank?The following blog post touches upon the frequently overlooked hidden cost of poor security practices, along with the fact that the overall return on investment for ThreatModeler - the industry's most comprehensive automated threat modeling platform - extends far beyond simple cost avoidance.The True Co
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