Robots Join the Fight for Cyber Security

Robots Join the Fight for Cyber Security

Robot. image by pixabay

This post is also available in: heעברית (Hebrew)

The ever-increasing danger of cybercrime has motivated companies to look at different solutions. The massive number of threats, cyber criminals and skill shortages have left many organizations more vulnerable to malware attacks. The cost of attacks was estimated to rise to USD$10 trillion annually by 2025 according to a 2020 report and may yet exceed that amount.  With exponentially more ransomware incidents being reported than there are skilled cybersecurity professionals available, progressive businesses are looking to Artificial Intelligence (AI) and Machine Learning (ML) to close the gap.

“Protecting all endpoints, integrations, APIs and every other threat vector is, quite literally, an insurmountable task. A staggering 93 percent of companies can be penetrated by cybercriminals; the consequences of which to the unprepared are dire indeed. Consequences that span from service disruptions, the holding of information and systems to ransom, through to destruction of physical infrastructure which, beyond the inconvenience, the financial and reputational implications, and potential threat to life, can easily result in the total loss of an organization’s ability to remain in business,” explains Patrick Evans, Chief Executive Officer of SLVA Cybersecurity.

This is why the usage of Artificial Intelligence and Machine Learning is critical in protecting users from cybercrime. Both AI and ML are currently being used as a reliable and resource saving robotic automation, according to techeconomy.com. The combination of AI and ML allows faster data processing, as well as the most proficient and effective techniques to analyze massive amounts of data. 

“More importantly, as the latest developments in AI now start to reliably deploy systems that can start up and fully learn its environment in the way a skilled and experienced human does, AI can now deliver reliable and repeatable analytics with immediate accuracy and automation.” says Evans

Since AI and ML can work 24 hours a day, they can examine and learn about new methods of attacking systems and how to protect against them, saving manpower and addressing an issue so big that simply cannot be addressed by one single person or even a team of experts.

Prepared to dive into the world of futuristic technology? Attend INNOTECH 2022, the international convention and exhibition for cyber, HLS and innovation at Expo, Tel Aviv, on November 2nd – 3rd