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The State of Cybersecurity in Canada 2025 report, published by the Canadian Cybersecurity Network (CCN) and the Security Architecture Podcast , delivers an in-depth analysis of the evolving threat landscape, emerging risks, and strategic recommendations for Canadian organizations. Key findings: the cyber threat landscape in 2025 1.
The threat of attacks against Critical National Infrastructure (CNI) – energy, utilities, telecommunications, and transportation – is now front of mind for many. This includes using easily guessed passwords and falling victim to phishing and sociallyengineered techniques such as business email compromise.
Prior to joining Delta Dental, Almeida was the CISO at Covanta Holding Corporation, a leader in energy-from-waste management services. He has also advised state and local government, utilities, large infrastructure and logistics organizations. His expertise is in socialengineering, technology, security algorithms and business.
APT targeting turns toward satellite technologies, producers and operators The only known case of an attack utilizing satellite technologies that happened in recent years was the KA-SAT network hack of 2022. They advertise on dark web platforms and employ various techniques, including malware, phishing, and other socialengineering methods.
Before companies can effectively and safely use generative AI tools, employees must be educated on utilizing best practices: writing prompts that achieve desired outcomes, keeping data security and privacy in mind when inputting data, identifying the quality and security of AI, verifying AI output, and more,” elaborates Arti Raman, CEO Portal26.
Sectors like energy, healthcare, transportation, utilities, and financial systems are increasingly at risk because they are integral to national security and daily life. These groups are also shifting toward more human-centric exploits , like socialengineering and insider assistance. But it doesnt stop there.
Therefore, many countries are looking for their way into the new technological order, investing in promising research and development in a variety of areas: AI and machine learning, quantum computing, optical electronics, new materials, energy sources and types of engines, satellites and telecommunications, genetics, biotechnology and medicine.
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