{"id":26285,"date":"2022-11-15T15:20:54","date_gmt":"2022-11-15T09:50:54","guid":{"rendered":"https:\/\/blog.aspiresys.com\/?p=26285"},"modified":"2025-05-22T12:27:10","modified_gmt":"2025-05-22T12:27:10","slug":"ai-ml-smart-locks-of-the-cybersecurity-vault","status":"publish","type":"post","link":"https:\/\/www.aspiresys.com\/blog\/digital-it-ops\/cybersecurity\/ai-ml-smart-locks-of-the-cybersecurity-vault\/","title":{"rendered":"AI\/ML: Smart locks of the cybersecurity vault"},"content":{"rendered":"\n

$3.86 million and more than six months’ worth of work \u2013 that’s the cost of a standard data breach, shows a report by Norton. Add to it the damage to reputation, business risk, and innumerable hours that cyber security <\/strong><\/a>professionals have to put in to repair the damage. Cyber-attacks are the biggest threats to any business today. It is estimated that damage due to cyberattacks will cross $10 trillion by 2025, a 300% increase from 2015. With such a relentless onslaught that is getting more sophisticated by the day, the role of artificial intelligence (AI) and machine learning (ML) becomes integral to identifying, preventing, and neutralising these threats.<\/p>\n\n\n\n

In the age of work-from-anywhere and always-online mode,\ncompanies are so much more exposed to cyber-attacks. Experts found that a\nmidsized firm gets more than 200,000 alerts of cyber events every day. It is not\nhumanly possible to handle this by smaller IT teams. This article delves into\nwhy AI and ML are turning out to be the solution that most organisations are\nturning to so that they can fortify themselves from cyber-attacks.<\/p>\n\n\n\n

How AI\/ML gives you the edge<\/strong><\/h2>\n\n\n\n

The latest Ponemon Institute Cost of a Data Breach Report highlights that automation can halve the cost of a data breach and contain threats in about 77 days. Handling large amounts of data, and analysing it within minutes aid cybersecurity professionals in taking decisions within a short period of an incident. Here are five features that keep AI\/ML<\/strong> ahead of traditional systems: \u00a0<\/p>\n\n\n\n

  1. Learns on the go <\/strong>
    \nThe\ntechnology is built to learn from datasets and improve network security. As the\nrecord of cyber-attacks build up, it recognises patterns, detects anomalies,\nand takes action more accurately. Over a period, it can predict and blocks\nsimilar types of attacks.
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  2. Tracks Unknown threats<\/strong>
    \nHackers\nlaunch innumerable attacks using new methods that include malware attacks and\nsophisticated     social\nengineering<\/a>. AI, powered by ML, has proven to be one of\nthe best technologies in tracking and preventing unknown threats.
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  3. Scans for bots<\/strong>
    \nAccording\nto research by Imperva, bots constitute more than 40% of global internet\ntraffic. The majority of cyber-attacks such as account takeovers and fake\nprofiles are done through bots. AI systems can be trained to differentiate\nbetween malicious and good bots.
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  4. Equipped to handle different problems<\/strong>
    \nA\nphishing attack, ransomware, or identity impersonation, all of these can happen\nat the same time. It is important to prioritise the action plan to handle them,\nhere AI can help detect the different types of attacks and analyse the degree\nand type of damage to help you decide which one should be handled first.
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  5. Strengthens security <\/strong>
    \n              Overall, the\ntechnology helps identify weak links in the network security system and helps\nmanage vulnerabilities and secure systems against future attacks.<\/li><\/ol>\n\n\n\n

    Benefits of AI and machine learning<\/strong><\/h3>\n\n\n\n

    Nearly 95% of cybersecurity<\/strong> breaches happen due to human slip-ups such as setting a weak password or downloading a corrupt email, shows a Google survey<\/a>. In such a situation the use of advanced technology becomes paramount. A recent survey reported that 61% of organisations said that without AI they would not be able to detect critical threats.<\/p>\n\n\n\n

    Quicker response time – <\/strong>Decoding and tracing\ndata in seconds and implementing patches to remediate threats in almost real time\nensures apprehension without much damage.
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    \nReduced\nIT costs –<\/strong> According to a report, the average cost reduction is 12% due to\nthe effective use of AI\/ML. <\/p>\n\n\n\n

    More efficient IT team<\/strong> \u2013 The Workload of the IT team is reduced as they no longer have to manually wade through data spanning years to come up with an effective solution. Rather the technology augments the support that the professionals require to prepare action plans.

    Areas of application<\/strong><\/p>\n\n\n\n