Gartner Predicts AI Applications Will Dominate Incident Response Efforts in Cybersecurity by 2028 - digital terminal

30/03/2026 8:07 AM Trending Smartphone Device Channel Enterprise CIO Tech DTV Reviews HOT NEWS Resources Trending Smartphone Device Channel Enterprise CIO Tech DTV Reviews HOT NEWS Resources Breaking News Google Launches TurboQuant to Make AI Models More Efficient Without Losing Accuracy Zomato Cuts $11M in Support Costs Using MongoDB AI Platform India Positions Itself as a Global Leader in 6G Innovation, Says Union Minister Jyotiraditya Scindia Uttar Pradesh Cancels Rs 25,000-Crore AI MoU with Puch AI Over Financial Concerns PM Modi Inaugurates Noida International Airport to Boost Delhi-NCR Aviation Capacity Lenovo Surges to No. 2 in India’s x86 Server Market with Over 200% Growth Palo Alto Networks Introduces Prisma AIRS 3.0 to Secure Agentic AI Check Point Introduces AI Defense Plane for Autonomous Enterprise Security Google Launches TurboQuant to Make AI Models More Efficient Without Losing Accuracy Zomato Cuts $11M in Support Costs Using MongoDB AI Platform India Positions Itself as a Global Leader in 6G Innovation, Says Union Minister Jyotiraditya Scindia Uttar Pradesh Cancels Rs 25,000-Crore AI MoU with Puch AI Over Financial Concerns PM Modi Inaugurates Noida International Airport to Boost Delhi-NCR Aviation Capacity Lenovo Surges to No. 2 in India’s x86 Server Market with Over 200% Growth Palo Alto Networks Introduces Prisma AIRS 3.0 to Secure Agentic AI Check Point Introduces AI Defense Plane for Autonomous Enterprise Security Trending Gartner Predicts AI Applications Will Dominate Incident Response Efforts in Cybersecurity by 2028 Fifty percent of all enterprise cybersecurity incident response efforts will focus on incidents involving custom-built AI-driven applications by 2028, according to Gartner, Inc., a business and technology insights company. NDM News Network Published on:  24 Mar 2026, 2:11 am Copied Fifty percent of all enterprise cybersecurity incident response efforts will focus on incidents involving custom-built AI-driven applications by 2028, according to Gartner, Inc., a business and technology insights company. “AI is evolving quickly, yet many tools – especially custom-built AI applications – are being deployed before they’re fully tested,” said Christopher Mixter, VP Analyst at Gartner. “These systems are complex, dynamic and difficult to secure over time. Most security teams still lack clear processes for handling AI-related incidents, which means issues can take longer to resolve and require far more effort.” Gartner recommends security leaders get involved early in custom-built AI application projects to ensure sufficient time exists, resources are planned and expectations are managed for adequate security controls. This is one of Gartner’s top cybersecurity predictions that Gartner recommends cybersecurity leaders to factor into their security strategies over the next two years, along with the following predictions. By 2028, more than 50% of enterprises will use AI security platforms to secure third-party AI service usage and protect custom-built AI applications. AI security platforms give organizations a unified way to manage the new risks associated with rapid AI adoption, such as prompt injection, data misuse and more. Centralizing visibility and control, these platforms help CISOs enforce use policies, monitor AI activity and apply consistent security guardrails across third-party and custom AI applications. Security leaders must evaluate AI security platforms to ensure they can secure both forms of applications. Through 2027, manual AI compliance processes will expose 75% of regulated organizations to fines exceeding 5% of their global revenue. Despite the distinct approaches to regulation globally, AI regulations converge on a universal demand for a systematic risk management approach. Even if CISOs can keep ahead of security, privacy and cyber risk management regulations and standards, new regulations covering AI safety call everything into question. For greater success, Gartner recommends establishing cyber governance risk and compliance, and enabling compliance through technology. Through 2030, 33% of IT work will be spent remediating AI data debt to secure AI. Most organizations’ data is not AI‑ready, with poorly secured and unstructured data a major barrier to AI adoption. In response, cybersecurity leaders are expanding data loss prevention to monitor and restrict data flows triggered by GenAI and agentic AI data access events and requests. Gartner recommends they collaborate with data and analytics and AI leaders to define a structured program of data discovery, assessment and access control remediation. By 2027, 30% of organizations will require comprehensive sovereignty of their cloud security controls to address continued geopolitical turmoil. Geopolitical turmoil and local regulations are creating untenable data risks, which require many organizations to make sovereignty a key part of their cyber resilience approach. This will necessitate changes in vendor selection for cloud-tethered offerings and prioritization efforts as geopatriation requirements intensify. Cybersecurity leaders must play an active role in defining organizational sovereignty requirements, including those required by local regulations. By 2028, 70% of CISOs will use identity visibility and intelligence capabilities to shrink the IAM attack surface, reducing the risks of credential compromise. Identity has become a primary attack surface as organizations struggle to manage the rapid growth and complexity of human and machine identities. This leaves visibility gaps left by isolated identity and access management (IAM) tools and increases the risk of misconfigurations. Gartner recommends these blind spots be addressed by integrating unified, AI‑powered identity visibility and intelligence platforms to improve detection and remediation.  Gartner is the World Authority on AI Gartner is the indispensable partner to C-Level executives and technology providers as they implement AI strategies to achieve their mission-critical priorities. The independence and objectivity of Gartner insights provide clients with the confidence to make informed decisions and unlock the full potential of AI. Clients across the C-Level are using Gartner's proprietary AskGartner AI tool to determine how to leverage AI in their business. With more than 2,500 business and technology experts, 6,000 written insights, as well as more than 1,000 AI use cases and case studies, Gartner is the world authority on AI. 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