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The Global Cyber Alliance and its partners, launched the Automated IoT Defence Ecosystem (AIDE), a “first-of-its-kind” cybersecurity development platform for Internet of Things (IoT) products.
Artificial intelligence can be a confusing term. It’s become a general catch-all for a range of methods and technologies. In cybersecurity, there are three common uses where the term AI comes up that businesses need to understand to see if they’re really using AI, and more importantly, what they expect to get out of it.
In 2015, the UN identified 17 Sustainable Development Goals (SDGs) to be achieved by 2030 – ranging from eradicating poverty and guaranteeing stability and peace to fighting discrimination and climate change. Digital technologies, particularly the internet of things (IoT) and artificial intelligence (AI), can facilitate efforts to achieve the SDGs. For example, AI can help detect malnutrition using photographs of individuals living in a given area. Here, too, cybersecurity is crucial. Should pictures of those individuals be stolen or the AI model become corrupted, the use of AI to fight starvation would become problematic. Cybersecurity underpins trust in, and thus the adoption of, digital technologies for humanitarian and environmental purposes.
Some agencies have begun to quantify their cybersecurity risk — but don’t expect the government to make the practice mandatory anytime soon.
The FAIR Institute formed as a nonprofit in 2016 and boasts about 6,000 members including 30% of Fortune 1000 companies like Bank of America, Cisco Systems and Fannie Mae. Its goal is to accelerate learning and share best practices around risk management.
Artificial intelligence (AI) has become all the rage in cybersecurity circles, but a recently discovered universal bypass of a machine-learning (ML) algorithm in BlackBerry's Cylance cybersecurity suite offers some valuable lessons for organizations mulling AI security solutions. surveys the state of cyber defense.
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