Cybersecurity Meets Artificial Intelligence

A Brief History of Artificial Intelligence

Artificial intelligence is a lot of different things to lots of different people. The term AI was coined by John McCarthy in 1955. Artificial intelligence was introduced to the world by Alan Turing during the Second World War. Turing and his team worked on a machine that could break the enigma code which was used by the German army to send secret messages. There was also a movie based on this called the “Imitation Games”.

In 1951, Ferranti Mark I used an algorithm to master checkers. The other developments that happened over the years were writing algorithms to solve math and geometry problems. The LISP programming language was developed and became important in machine learning. The first intelligent robot named WABOT-1 was built in Japan in 1972.

Scientists diligently tried really hard to create intelligence in machines but failed. AI applications such as vision learning required the processing of enormous data, and at that time computers were not able to process such large amount of data. So, the computer scientists found it difficult to go ahead with research as they were facing shortage in funding from the government. This time was known as ‘AI Winters’. In the early 2000’s some AI funding dried up. Cooperation’s and governments successfully used machine learning methods in narrow domains. Soon companies started to gain massive profits from it.

To better understand how AI can help us, we need to see how it fits into the bigger picture.

There’s no stopping AI

Artificial intelligence gets real

There has been a constant battle about whether Artificial Intelligence (AI) is a boon or a curse in terms of its impact on human efficiency. Nearly every day, we see places like small cafes to billion-dollar companies impacted by cyber-crimes that can affect millions of individuals. The recent development of biometric logins has created something like a virtual security blanket.

As dangers raise, hackers develop more innovative strategies to break in to even the most modern secure systems. Additionally we are facing an immense growth in the number of Internet-connected gadgets (IOT Devices), information transfers and network traffic.

AI can also help in detecting threats and other potential threats and other potential Intelligence frameworks are likewise built to be used for multi-factor verification for software applications to approve users attempting to access those systems.

SecureFLO understands the value of AI in cybersecurity. As AI develops and is used in more solutions, we want to help you understand the risks associated with this new techonology and help you remediate and manage those risks. We can all benefit when AI is used to make systems and processes more secure.

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*** This is a Security Bloggers Network syndicated blog from SecureFLO authored by Santosh Kumar. Read the original post at: