Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why did the seven-month dwell time inside that hospital surprise nobody on my team? A smart HVAC controller in a third-floor conference room sat on a US healthcare network for seven months. IT security had never inventoried it. The SOC had never seen its traffic. Within 72 hours of initial compromise, the attacker had pivoted to corporate systems and reached patient records. The final bill, as compiled in public breach reporting, lands at $12.4 million.

As organizations deploy artificial intelligence across customer service, HR, finance, and business operations, security concerns are expanding beyond traditional cybersecurity risks. Companies are no longer focused solely on protecting systems from external threats. They must also ensure AI tools behave reliably, safely, and consistently when interacting with real users.

The brief leadership crisis at OpenAI in late 2023 triggered widespread debate about the future of artificial intelligence companies. While many observers focused on governance issues, some analysts viewed the situation as evidence of deeper forces shaping the industry. As reported by The Silicon Review, entrepreneur and IFORELS founder Vlad Panin argued that the long-term balance of power in AI would depend less on public leadership disputes and more on who controls critical resources such as computing infrastructure, distribution channels, data access, and financial incentives.