Boards are being asked to oversee artificial intelligence (AI) without the signals they need to do it well. Most AI reporting still focuses on performance factors, including accuracy, adoption, and cost savings. These metrics matter operationally, but they do not answer the questions boards are responsible for answering. That includes who owns the risk, who…
Read article Most enterprise artificial intelligence (AI) initiatives do not fail because the technology is flawed. They fail because teams do not always align on what the program is. AI work often begins with pilots. A team experiments. Early results look promising. Momentum builds. Funding increases. At no point does anyone pause to define a shared operating…
Read article Why AI Spend Balloons Without Delivering Enterprise Value Enterprise AI budgets rarely fail because leaders refuse to invest. They fail because money is allocated using mental models that no longer fit the work being done. AI initiatives often begin with optimism. That includes small teams, modest pilots, and limited risk. The expectation is that value…
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In the current threat landscape, where cyberthreats are evolving rapidly, proactive network security is desperately needed to prevent and reduce the impact of cyber incidents. The article will shed light on the fundamentals of security architecture and its evolving role in modern cybersecurity. It will focus on the key concepts of security architecture, such as…
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