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Two Cybersecurity Trends You Cannot Afford to Negelct!
Artificial intelligence and machine learning technologies can improve decision-making efficiency by prioritizing and acting on risks, especially in more extensive networks with many users and variables

By
Apac CIOOutlook | Monday, May 10, 2021
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Artificial intelligence and machine learning technologies can improve decision-making efficiency by prioritizing and acting on risks, especially in more extensive networks with many users and variables
Fremont, CA: The majority of businesses depend on lessons learned to boost their performance. They examine what went well and what went wrong to fill holes and adjust tactics, which is also a predictor of potential success. The cybersecurity industry must follow this heuristic model. We are already facing cyber-attacks in 2021, and we are looking at lessons learned to close cyber vulnerabilities.
Expanding Cyber-Attack Surface
The digital transformation was quickly driven by Covid19 and the need to shift individuals working in an office to working remotely from their homes. As a result, there are now millions of related offices. Due to lockdowns, it is estimated that approximately half of the US labor force works from home and that the number is even higher in many other countries. Home offices are not as secure as fortified office sites with more secure firewalls, routers, and access control managed by the company's security teams. Hackers can now take advantage of insecure employee computers and networks thanks to the rise of remote work.
An automation tool chest that can now use horizon scanning technology, analytics, audits, incident alert tools, diagnostics, and even self-repairing applications is one way to counter the expanding attack surface. Artificial intelligence and machine learning solutions can improve decision-making efficiency by prioritizing and acting on risks, especially in more extensive networks with many users and variables.
Ransomware
Criminal hacker groups are becoming more advanced in their phishing exploits using machine learning and more organized networking on the dark web and dark web forums in 2021. Hackers may also get paid in cryptocurrencies that are difficult to track, making ransomware a more critical tool in their attack toolbox.
Ransomware prevention necessitates safety knowledge and training, including anti-malware software, protected passwords, patch updates, and secure routers, VPNs, and Wi-Fi. Above all, don't fall for the phishing scam, and always back up sensitive data.
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