Covid-19 has only made the job
Posted: Tue Feb 11, 2025 4:42 am
We live in a world where cybercriminals hold all the cards, and even if they don’t, their chances of winning are always higher than their opponents. The Identity Theft Reduction Center (ITRC) found that the number of data breaches in 2019 increased by 17% compared to 2018, with more than 164 million records discovered across almost every vertical. The cybercrime economy is huge. By some estimates, it is worth $1.5 trillion per year, which is almost equal to Russia’s GDP.
of a CISO more challenging by raising the level of risk. This is due to the explosion of unmanaged endpoints (remote home offices) that have distracted IT support staff from their core tasks, overloaded virtual private networks (VPNs), and unpatched remote access infrastructure. Qualified security professionals remain very hard to find, with a shortage china whatsapp data at over 4 million. All of this would seem to create favorable conditions for AI to fix the cybersecurity situation. But despite the fact that it has developed intelligent algorithms that have allowed it to beat the world’s best Go players, enable voice assistants in homes, and unlock smartphones using facial recognition, AI has not brought us any closer to a breakthrough in cybersecurity.
What can AI do?
It’s worth noting that machine learning and deep learning are good at some tasks. If you feed a system a lot of data and teach it to spot subtle patterns, it can do so quite well. Machine learning can be useful in identifying known security threats and misconfigurations, which humans are less good at. It can be used in areas such as fraud protection, since fraudsters tend to use the same ideas when trying to deceive banks and businesses. By noticing these small details, AI can help highly skilled security professionals do their jobs more efficiently and effectively.
of a CISO more challenging by raising the level of risk. This is due to the explosion of unmanaged endpoints (remote home offices) that have distracted IT support staff from their core tasks, overloaded virtual private networks (VPNs), and unpatched remote access infrastructure. Qualified security professionals remain very hard to find, with a shortage china whatsapp data at over 4 million. All of this would seem to create favorable conditions for AI to fix the cybersecurity situation. But despite the fact that it has developed intelligent algorithms that have allowed it to beat the world’s best Go players, enable voice assistants in homes, and unlock smartphones using facial recognition, AI has not brought us any closer to a breakthrough in cybersecurity.
What can AI do?
It’s worth noting that machine learning and deep learning are good at some tasks. If you feed a system a lot of data and teach it to spot subtle patterns, it can do so quite well. Machine learning can be useful in identifying known security threats and misconfigurations, which humans are less good at. It can be used in areas such as fraud protection, since fraudsters tend to use the same ideas when trying to deceive banks and businesses. By noticing these small details, AI can help highly skilled security professionals do their jobs more efficiently and effectively.