{"id":4384,"date":"2023-03-28T06:19:16","date_gmt":"2023-03-28T06:19:16","guid":{"rendered":"https:\/\/www.kiwitech.com\/blog\/?p=4384"},"modified":"2023-03-28T06:20:01","modified_gmt":"2023-03-28T06:20:01","slug":"ai-and-ml-becoming-necessary-in-cybersecurity","status":"publish","type":"post","link":"https:\/\/www.kiwitech.com\/blog\/ai-and-ml-becoming-necessary-in-cybersecurity\/","title":{"rendered":"<strong>AI and ML Becoming Necessary in Cybersecurity<\/strong>"},"content":{"rendered":"\n<p>A <a href=\"https:\/\/it-trends.solarwinds.com\/#\/\" target=\"_blank\" rel=\"noreferrer noopener\">recent IT trends report<\/a> found that IT professionals face a looming challenge with the growing complexity of new security tools and technologies, increased tech requirements and fragmented legacy and modern technologies that further complicate and widen the attack surface.<\/p>\n\n\n\n<p>Cybersecurity is now out of the scope of manual handling and warrants artificial intelligence.<\/p>\n\n\n\n<h2><strong>Why Today\u2019s Enterprises Need AI\/ML for Security<\/strong><\/h2>\n\n\n\n<p>The COVID-19 global pandemic pushed organizations toward rapid digital transformation to ensure business continuity without allowing the luxury of ensuring cybersecurity. As a result, every industry saw an uptick in cyberattacks and breaches.&nbsp;<\/p>\n\n\n\n<p><a href=\"https:\/\/www.businesswire.com\/news\/home\/20211108005775\/en\/Cyber-Threats-Have-Increased-81-Since-Global-Pandemic\" target=\"_blank\" rel=\"noreferrer noopener\">81% of global companies<\/a> experienced increased cyber threats during the pandemic, while 79% of organizations suffered downtime due to security risks during peak business season. <a href=\"https:\/\/www.isaca.org\/resources\/isaca-journal\/issues\/2022\/volume-2\/cybersecurity-in-a-covid-19-world\" target=\"_blank\" rel=\"noreferrer noopener\">Google blocked 18 million<\/a> COVID-related scams daily. Average ransomware payment amounts surged by 60 percent during the second quarter of 2020, and daily cybercrime complaints increased by 300-400 percent.<\/p>\n\n\n\n<p>Consequently, business leaders grew more aware and threatened by security risks, knowing it\u2019s a matter of \u2018when\u2019 and not \u2018if\u2019 their company will be targeted.<\/p>\n\n\n\n<p>Today\u2019s enterprise needs AI\/ML for security now more than ever. Sophisticated attacks, a widened attack surface, rapid innovation and the urgency to stay on top of vulnerabilities require more than human intelligence.<\/p>\n\n\n\n<p><strong>Related: <\/strong><a href=\"https:\/\/www.kiwitech.com\/blog\/internet-of-things-and-cybersecurity-challenges-and-solutions\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Internet of Things and Cybersecurity- Challenges and Best Practices<\/strong><\/a><\/p>\n\n\n\n<h2><strong>Why do CISOs Prefer AI\/ML over People in Cybersecurity?<\/strong><\/h2>\n\n\n\n<p>Artificial intelligence and machine learning help scale data analysis, improve response speed, secure innovative and transformative technologies and stay proactively prepared for incidents. <a href=\"https:\/\/www.ibm.com\/thought-leadership\/institute-business-value\/report\/ai-cybersecurity\" target=\"_blank\" rel=\"noreferrer noopener\">93% of IT executives<\/a> are already using or considering AI and ML to make their tech stack more resilient.<\/p>\n\n\n\n<p>Here are a few specific reasons why CISOs prefer AI\/ML over people in today\u2019s threatscape-<\/p>\n\n\n\n<ul>\n<li><strong>Plug in talent gaps<\/strong> &#8211; According to the <a href=\"https:\/\/www.isc2.org\/Research\/Workforce-Study#\" target=\"_blank\" rel=\"noreferrer noopener\">(ISC)\u00b2 Cybersecurity Workforce Study 2022<\/a>, there\u2019s a global cybersecurity workforce gap of 3.4 million people. Even when this gap gets bridged, CISOs need real-time insights into their IT infrastructure to fine-tune predictive models and gain a holistic view of their cybersecurity posture, which is feasible only with AI\/ML.<\/li>\n<\/ul>\n\n\n\n<ul>\n<li><strong>Improve visibility<\/strong> &#8211; Early AI adopters are augmenting human intelligence with AI\/ML to enhance their visibility into a rapidly proliferating digital ecosystem of endpoints and applications.<\/li>\n<\/ul>\n\n\n\n<ul>\n<li><strong>Boost productivity <\/strong>&#8211; AI\/ML provide some much-needed respite to security and IT teams on the brink of burnout from constantly putting out fires. Overstretched human resources can gain time back for value-add tasks by replacing manual effort with security automation with AI\/ML.<\/li>\n<\/ul>\n\n\n\n<p><strong>Related: <\/strong><a href=\"https:\/\/www.kiwitech.com\/blog\/personalization-vs-privacy-wheres-the-fine-line\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Personalization vs. Privacy- Where\u2019s the Fine Line<\/strong><\/a><\/p>\n\n\n\n<h2><strong>AI and ML Use Cases in Modern Cybersecurity<\/strong><\/h2>\n\n\n\n<h3><strong>Endpoint discovery and asset management<\/strong><\/h3>\n\n\n\n<p>Enterprises spent $13.3 billion on Endpoint Protection Platforms in 2021, predicted to reach $26.4 billion by 2025, as per <a href=\"https:\/\/www.gartner.com\/document\/4004647?ref=solrResearch&amp;refval=311043206\" target=\"_blank\" rel=\"noreferrer noopener\">Gartner<\/a>. They need to achieve more visibility and control over endpoints for zero-trust security.&nbsp;<\/p>\n\n\n\n<p>The security perimeter in any organization has expanded to include human and machine identities, which can be secured only using data-driven insights and intelligence. AI\/ML in cybersecurity identify malware attack patterns and fine-tune risk scores based on behavioral patterns, location and other parameters of privileged user accounts, preventing breach attempts.<\/p>\n\n\n\n<h3><strong>Vulnerability and patch management<\/strong><\/h3>\n\n\n\n<p><a href=\"https:\/\/www.ivanti.com\/resources\/patch-management-challenges\" target=\"_blank\" rel=\"noreferrer noopener\">According to a recent survey<\/a>, 71% of IT professionals find patching complex and time-consuming, while 53% said organizing and prioritizing critical vulnerabilities leaves no time for patch management.<\/p>\n\n\n\n<p>Organizations today can employ AI and ML technologies to locate, track and patch endpoints that need updating without spending useful hours on this monotonous activity. As cybersecurity platforms improve bots\u2019 accuracy in predicting which endpoints need patching, vulnerability and patch management will get efficient and automated.<\/p>\n\n\n\n<h3><strong>Access management<\/strong><\/h3>\n\n\n\n<p>In an experience economy where businesses define themselves by the ease of working with them, identity and access management can become table stakes in minimizing friction. Modern IAM platforms with AI\/ML can detect anomalous behavior even after authentication and trigger an appropriate response.<\/p>\n\n\n\n<p>AI can enable zero-trust by dynamically protecting resources, implementing fine-grained access policies that factor in complexities in users, data and assets, eliminating personal data from access tokens and ensuring continuous verification.<\/p>\n\n\n\n<h3><strong>Threat simulation<\/strong><\/h3>\n\n\n\n<p>AI and ML can help build threat simulators connecting with endpoints in an organizational network to emulate a threat lifecycle and test security defenses without interacting with production endpoints and servers. This way, organizations can identify gaps in their cybersecurity posture without compromising assets or impacting operations.<\/p>\n\n\n\n<p>Cybersecurity simulations can also help identify talent gaps in an organization and point toward skills that need to be onboarded, whether in-house or outsourced.<\/p>\n\n\n\n<h3><strong>Identity management<\/strong><\/h3>\n\n\n\n<p>A hybrid work culture requires support for remote workers accessing multiple devices from different locations. While zero trust enhances operations, it presents issues in coordination. AI can help manage digital identity by creating unique user profiles based on historical behaviors, role-based policies and contextual user data.<\/p>\n\n\n\n<p>Automated identity management can strengthen an organization\u2019s security posture without creating impossible work for their teams.<\/p>\n\n\n\n<p><strong>Related: <\/strong><a href=\"https:\/\/www.kiwitech.com\/blog\/data-security-in-healthcare\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Data Security in Healthcare<\/strong><\/a><\/p>\n\n\n\n<h2><strong>Zero Trust Security with AI\/ML<\/strong><\/h2>\n\n\n\n<p>Every organization will have a unique zero-trust security roadmap. AI and ML will prove central to zero trust as they help analyze, interpret and act on network telemetry data in real-time.<\/p>\n\n\n\n<p>Technology continues to be a double-edged sword as new digital applications and services open new avenues for value creation while expanding the risk surface. With cloud technologies and IoT in place, organizations need more than talented cybersecurity professionals to execute protection, prevention and readiness strategies. They need AI and ML.<\/p>\n\n\n\n<p><em>It\u2019s no longer just here for the buzz, instead, it is here to create value. Our relationship with this technology goes way beyond the era of buzz and so we know and understand its importance with businesses. If you are looking to secure your business now or future-proof it from any further security threats, our <a href=\"https:\/\/www.kiwitech.com\/services\/ai-ml\" target=\"_blank\" rel=\"noreferrer noopener\">AI\/ML experts<\/a> can be of your help!<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A recent IT trends report found that IT professionals face a looming challenge with the growing complexity of new security tools and technologies, increased tech requirements and fragmented legacy and modern technologies that further complicate and widen the attack surface. Cybersecurity is now out of the scope of manual handling and warrants artificial intelligence. Why [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":4385,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[573,596],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI and ML Becoming Necessary in Cybersecurity - KiwiTech<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.kiwitech.com\/blog\/ai-and-ml-becoming-necessary-in-cybersecurity\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI and ML Becoming Necessary in Cybersecurity - KiwiTech\" \/>\n<meta property=\"og:description\" content=\"A recent IT trends report found that IT professionals face a looming challenge with the growing complexity of new security tools and technologies, increased tech requirements and fragmented legacy and modern technologies that further complicate and widen the attack surface. 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