The interconnectedness of technology, coupled with the growing number of mobile devices, quickly evolving technologies, and more prominent use of Wi-Fi has resulted in a severe uptick of cyber attacks. To ward off impending threats, we're increasingly turning to machine learning for help. Machine learning has the potential to offer better, more efficient solutions than what's currently available on the market to prevent cybercrime. In this article, we'll give a deep-dive into how machine learning is currently improving cybersecurity. Machine learning can be used to monitor and detect breaches in a certain network, and can also help generate an automated response to an attack.
Artificial intelligence (AI) is proving to be one of the most influential and game-changing technology advancements in the business world. As more and more enterprises go digital, companies all over the globe are constantly engineering new ways to implement AI-based functions into practically every platform and software tool at their disposal. It should come as no surprise, then, that AI is affecting cybersecurity – but it's affecting it in both positive and negative ways. Cybercrime is a massively lucrative business, and one the greatest threats to every company in the world. Cybersecurity Ventures' Official 2019 Annual Cybercrime Report predicts cybercrime will cost the world $6 trillion annually by 2021 – up from $3 trillion in 2015.
Artificial Intelligence (AI) is at the frontier of a new techno-tsunami that is transforming the way we live and work. "Historically, an AV researcher might see 10,000 viruses in a career. Today there are over 700,000 per day," said Ryan Permeh, chief scientist, Cylance. Could AI be the solution to solving the big data problem, and bridging the widening workforce gap in the Cyber Security industry? Intelligent machines now have the power to make observations, understand requests, reason, draw data correlations, and derive conclusions.
All evolution comes with challenges and the dark world of cybercrime continues to thrive and is this year's second most reported economic crime. The recent NHS computer hack using Wanna Decryptor ransomware shut down IT systems with 75,000 attacks in 99 countries. The unprecedented ransomware breach froze computers across the health service with hackers threatening to delete files unless a ransom was paid. The passwords were scrambled with the MD5 algorithm, which nowadays is easy to crack. According to Zdnet.com, the unidentified hacker explained his motives for the attack: "I heard the database was getting traded around so I decided to dump it myself – like I always do". He said it was "mainly just for the challenge and training my pentest skills." He exploited a union-based SQL injection vulnerability in the site's software, a flaw he said was "easy to find."
Businesses ranging from startups to large corporations are increasingly looking to new technologies, like artificial intelligence (AI) and machine learning, to protect their consumers. AI can provide an effective way to stop advanced and sophisticated malware attacks that have never been seen before. There's also a real opportunity for advanced phishing attacks by automating the human bad guy. Prepare is about building a proper cybersecurity program taking a risk based and business approach to security.