{"id":186283,"date":"2026-02-11T03:38:00","date_gmt":"2026-02-11T08:38:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/02\/11\/how-apac-organizations-can-operationalize-ai-in-cybersecurity\/"},"modified":"2026-02-11T04:05:09","modified_gmt":"2026-02-11T09:05:09","slug":"how-apac-organizations-can-operationalize-ai-in-cybersecurity","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/02\/11\/how-apac-organizations-can-operationalize-ai-in-cybersecurity\/","title":{"rendered":"How APAC Organizations Can Operationalize AI in Cybersecurity"},"content":{"rendered":"<p><a href=\"https:\/\/www.cdotrends.com\/story\/4895\/how-apac-organizations-can-operationalize-ai-cybersecurity\">How APAC Organizations Can Operationalize AI in Cybersecurity<\/a><\/p>\n<p><a href=\"https:\/\/www.cdotrends.com\/story\/4895\/how-apac-organizations-can-operationalize-ai-cybersecurity\">https:\/\/www.cdotrends.com\/story\/4895\/how-apac-organizations-can-operationalize-ai-cybersecurity<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-02-11 03:38:00<\/a><\/p>\n<p>Source Domain: <a href=\"www.cdotrends.com\">www.cdotrends.com<\/a><\/p>\n<p>Author: <a href=\"\"><\/a><\/p>\n<p> Using an unordered list, summarize the following article with between 4 and 8 key points. Across the Asia Pacific, attackers are moving at machine speed, while many organizations still rely on fragmented, human-led security processes. The gap is stark. It takes organizations\u00a0an average of 258 days to identify breaches, while AI-accelerated attacks operate in seconds. While threat actors actively exploit AI to accelerate and scale attacks, it can also enable defenders to detect and respond faster.Execution remains the challenge.\u00a0IBM\u2019s research shows that organizations that use AI for security reduce breach costs, yet many still struggle to secure their own AI systems. According to a\u00a0recent GitLab study, practitioners in Singapore lose an average of 8 hours per week due to inefficient workflows, driven by tool sprawl and poor cross-functional collaboration. More tools do not equal better security.What separates leaders from laggards is how they operationalise AI. High-performing teams are moving beyond experimentation and embedding AI directly into core security and DevSecOps workflows.<br \/>\nHere are four practical ways organizations across the Asia Pacific can accomplish that.Turning AI into a proactive security advantageThe value of AI isn&#8217;t in buzzwords but in measurable outcomes. Organizations are reducing false positives by 66.67%, cutting detection time in half, and saving USD425,000 in operational costs (Goswami et al., 2024). These aren&#8217;t theoretical benefits \u2014 they&#8217;re documented results from organisations that have implemented AI-human collaboration models that balance automation with expert judgment.The speed advantage is transformative. Zero-day exploits that once took days to detect and contain can now be contained in minutes, drastically reducing the window of vulnerability and fundamentally changing how security teams respond to threats.The most successful implementation patterns start with clearly defined, high-impact use cases:Log analysis that would overwhelm human analystsNetwork pattern recognition that identifies novel threatsVulnerability prioritisation based on actual exploitabilityAutomated incident triage that reduces alert fatigueJulie Davila @\u00a0GitLab: Organizations are reducing false positives by 66.67%, cutting detection time in half, and saving USD425,000 in operational costs.Beyond detection improvements, AI transforms authentication and authorization by automating role assignment across complex environments. However, multiple studies highlight persistent challenges \u2014 algorithmic bias (Goswami et al., 2024;\u00a0Oluwatomi &#038; Alagbe;\u00a0Chawande, 2024), adversarial attacks (documented across research by Olugboja, Akhtar &#038; Rawol, and others), and explainability concerns that require thoughtful implementation strategies that balance automation with human oversight.Advancing code modernization with intelligent automationAccelerating legacy code modernization is one of the most impactful ways organizations are using AI to mitigate vulnerabilities. Legacy code accounts for\u00a070% of identified vulnerabilities, but manually overhauling monolithic code bases is rarely feasible. Security teams know these vulnerabilities exist but lack the resources to address them, creating both security and business risk.AI transforms this equation by making modernization practical rather than aspirational. Consider:Code analysis that identifies high-risk patterns across millions of lines of codeAutomated refactoring that transforms memory-unsafe languages to more secure alternativesIntelligent testing that verifies changes maintain intended functionalityPrioritisation frameworks that focus on business-critical systems firstWhile there is no silver bullet, organizations implementing these approaches are seeing both security and performance improvements. The key is to start with constrained, high-value targets instead of overly ambitious wholesale transformations.Turning Software Bill of Materials (SBOM) into a standard security requirementAs software supply chain attacks proliferate, SBOMs are rapidly evolving from a recommended best practice to a\u00a0foundational regulatory requirement. A dynamic SBOM provides complete visibility into the licenses and potential security risks embedded in an organization\u2019s software, including most open source components. Without this detailed inventory, organizations reduce their visibility into potential critical vulnerabilities or compliance failures.Realistically, manually created SBOMs simply don\u2019t scale, not even for a 10-person startup. DevSecOps-oriented teams already stretched thin can\u2019t possibly be expected to monitor the thousands of components in modern software stacks. Any sustainable approach to SBOM management for software-producing organisations must necessarily include automation.Organizations that lead in software security are implementing:Real-time, run-time dependency analysis that flags vulnerable components instantlyAutomated policy enforcement that prevents the introduction of known vulnerable componentsLeveraging threat intelligence to provide early warning of emerging threatsIntegration with the workflows of the development organizations to make security seamless, rather than bolted-on or forcedHere&#8217;s what really matters. Sometimes it&#8217;s not the SBOM itself but what producing one signals. If a software producer can generate real-time, accurate SBOMs for their products and platforms, that demonstrates a certain level of security maturity and respect for customer trust.From manual checks to automated complianceCompliance remains one of security&#8217;s greatest frictions. Traditional approaches treat it as a separate, manual checkpoint, which ultimately results in delays, frustration, and inconsistent outcomes. This slows delivery, and it damages the partnership between security and development teams.While AI will not fully automate compliance in the near term (source:\u00a0Oluwatomi &#038; Alagbe), it fundamentally changes what is possible:Continuous policy validation that catches issues during development, not afterAutomated evidence collection that reduces audit preparation from weeks to hoursContextual guidance that helps developers meet requirements without security expertiseRisk-based approaches that focus scrutiny where it matters mostInstead of being a gatekeeper function that slows delivery, compliance becomes an embedded capability that delivers greater efficiency for the business by providing value much sooner in the SDLC.Building resilience with AI that works in practiceAcross the Asia Pacific, the organizations that succeed will not be those chasing the latest security tools. They will be those who integrate AI deliberately across their software and security workflows. Resilience comes from combining AI-driven automation with human judgement, supported by explainable models that teams can trust and regulators can scrutinise.This approach moves security beyond detection metrics. It strengthens customer confidence, supports compliance across diverse regulatory regimes, and enables growth in increasingly digital markets. AI helps rebalance security from a cost centre focused on risk avoidance to a business capability that underpins trust.As AI-enabled attacks accelerate, the gap between advanced adversaries and underprepared organisations will widen. Those that act now can improve their security posture and turn security into a durable competitive advantage, at a time when trust is becoming one of the region\u2019s most valuable assets.The views and opinions expressed in this article are those of the author and do not necessarily reflect those of CDOTrends. Image credit: iStockphoto\/Thinkhubstudio<br \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>How APAC Organizations Can Operationalize AI in Cybersecurity https:\/\/www.cdotrends.com\/story\/4895\/how-apac-organizations-can-operationalize-ai-cybersecurity Publish Date: 2026-02-11 03:38:00 Source Domain:&#8230;<\/p>\n","protected":false},"author":1,"featured_media":186284,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/www.cdotrends.com\/sites\/default\/files\/2026-02\/istock-1390868078.jpg","fifu_image_alt":"","footnotes":""},"categories":[15],"tags":[26,30,24,31,27],"class_list":["post-186283","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cybersecurity","tag-ai","tag-breach","tag-cybersecurity","tag-exploit","tag-vulnerability"],"_links":{"self":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/186283"}],"collection":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=186283"}],"version-history":[{"count":1,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/186283\/revisions"}],"predecessor-version":[{"id":186285,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/186283\/revisions\/186285"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/186284"}],"wp:attachment":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=186283"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=186283"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=186283"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}