Artificial Intelligence (AI) or the human-like intelligence of the machines to attain specific goals is being leveraged by various sectors of the economy. Nothing is left untouched by its influence. Cybersecurity is no exception to it either.

The increasing digitization has provided cybercriminals a favorable avenue for committing cybercrimes. According to the 2019 Official Annual Cybercrime Report, managing cybercrimes will be one of the most challenging tasks that enterprises might face in the coming years.

Hence, the importance of an AI Development Company with it’s AI-powered solutions to arm businesses against cyberthreats is growing at a tremendous pace.

AI in Cybersecurity – the Present Scenario

With technological advancements comes the issue of more sophisticated cyberattacks. It has become challenging to identify and prevent such security breaches. AI in cybersecurity is presently being used to gain knowledge about unknown and unexpected attacks. AI and Machine Learning (ML) are proving indispensable tools for information security.

Machine Learning, a subset of AI, is used to detect and interpret instances of cyberattacks. It identifies threats by tracking and monitoring any abnormal behavior of the application. Its ability to process enormous amounts of data puts it in a better position to find suspicious activities and identify malware and inside threats. By continuously analyzing the internet architecture to recognize potential attacks, it guards us against directing over to unsafe and malicious websites.

ML can detect and analyze dubious login activity in cloud apps, location-based inconsistencies, and cloud app threats primes it for cloud data protection function. One of the frontrunners in employing AI cybersecurity, Google, uses ML to ensure Android mobiles are kept protected from endpoint malware. Gmail has been powered by AI for a long time now to filter mails and block spams.

Microsoft and other big tech giants are massively employing AI in cybersecurity to detect patterns and halt security violations on their servers.The Breach Control Platform of Balbix, a cybersecurity provider, uses AI-powered findings to notice real-time risk predictions. It helps it to control security breaches actively. The teams at IBM/Watson have also created a cognitive platform to combat cybercrimes and prevent security threats.

Artificial Intelligence has thus made it a lot easier than before to identify and track cyber vulnerabilities. Thus, AI in cybersecurity has much value regarding its ability to protect dynamic enterprises from falling prey to sophisticated cyber crimes and attacks.

Although considerable progress has been made in the virtual security landscape through AI deployment, the road ahead is not smooth. Several AI cybersecurity challenges need to be addressed.

AI in Cybersecurity – Current Challenges

  1. Mature and Sophisticated Attacks
  2. Increased Vulnerability
  3. Reliance on Supervised Learning

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