Gartner: AI in Cybersecurity Incident Response to Reach 50% by 2028
- Mar 17
- 3 min read
The explosion of Artificial Intelligence is comprehensively reshaping the global cybersecurity landscape. According to the latest reports from Gartner, the deployment of AI in cybersecurity incident response will shift from a supporting role to a primary orchestrator, enabling organizations to counter machine-speed attacks.
1. Critical Milestones in the AI Security Revolution
Below is the digital transformation roadmap for information security with specific timelines:

Phase 1: Through 2027 – Redefining Operating Procedures
30% of Cybersecurity Functions Restructured: By 2027, approximately 30% of security departments will redesign their Target Operating Models (TOM) to deeply integrate AI agents into their workflows.
Shortened Exploitation Window: AI agents are predicted to reduce the time attackers need to exploit credential vulnerabilities by 50%.
Application Democratization: 30% of application security functions will be designed for non-technical personnel to operate directly through AI.
Phase 2: Through 2028 – AI Dominance in Response
50% of Response Efforts Led by AI: Gartner forecasts that applications of AI in cybersecurity incident response will directly drive more than 50% of the total response workload by 2028.
Bridging the Skills Gap: The adoption of GenAI will help narrow the expertise gap, eliminating the requirement for specialized degrees for 50% of entry-level cybersecurity positions.
Risks of Misconfigured AI: Conversely, Gartner warns that misconfigured AI could paralyze critical infrastructure across G20 nations by this time.
Phase 3: Looking Toward 2030 – The Era of Preemptive Security
50% of Budgets Shift to Prevention: By 2030, over 50% of cybersecurity budgets will focus on proactive prevention measures rather than traditional Detection & Response.
Vulnerability Explosion: The number of recorded vulnerabilities (CVEs) is expected to exceed 1 million by 2030—a 300% increase compared to 2025—requiring fully automated processing capabilities.
2. The Vietnam Context: AI is No Longer Optional
In the Vietnamese market, the trend of applying AI in cybersecurity incident response is accelerating to meet the rigorous requirements of the 2025 Law on Cybersecurity (set to take effect on July 1, 2026).

Rising AI Attacks: Reports from March 2026 indicate that 46% of DDoS attacks in Vietnam now utilize AI to enhance exploitation efficiency.
Tangible Efficiency: Integrating AI and automation into Security Operations Centers (SOC) helps Vietnamese enterprises reduce threat identification and response times by 33% to 43%.
National Efforts: The National Cyber Incident Response and Remediation Alliance was established in early 2025 to mobilize forces to protect critical information systems.
3. Intelligent Incident Response Solutions at IPSIP
To adapt to Gartner's milestones, businesses need a partner with both technological prowess and real-world combat experience. IPSIP Vietnam provides an optimized service ecosystem:
Monitoring & Incident Response (SOC/MDR): Leveraging AI to prioritize alerts, ensuring your human team is not overwhelmed by thousands of events daily.
Penetration Testing: Simulating AI-driven attack scenarios to substantively evaluate your system’s defensive capabilities.
Investing in AI in cybersecurity incident response does not just help your organization keep pace with global roadmaps; it serves as a necessary "shield" against increasingly sophisticated digital threats. Taking action today is the most effective way to ensure data safety and sustainable business growth.
Data References:
Gartner (2026): AI Applications to Drive 50% of Cybersecurity Incident Response Efforts by 2028.
SecurityBrief Australia: Custom AI to drive half of cyber incidents by 2028.









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