Gartner Predicts Shift to Preemptive Cybersecurity by 2030
Gartner has outlined a bold vision for the future of cybersecurity in the era of generative AI. According to its latest announcement on September 18, 2025, the traditional model of detection and response (DR) will give way to preemptive security as the new global standard.
By 2030, Gartner forecasts that 50% of IT security spending will go toward preemptive technologies — a sharp rise from less than 5% in 2024.
Preemptive cybersecurity uses advanced AI and machine learning to anticipate and neutralize threats before they materialize. Instead of reacting after an incident, organizations can proactively block attacks.
Key features include:
Carl Manion, Managing VP at Gartner, emphasized that “AI-powered attackers cannot be stopped by traditional detection and response alone. Autonomous, self-adaptive defenses are critical to protecting assets.”
A key driver of this shift is the rapid growth of the Global Attack Surface Grid (GASG). Gartner projects that known software vulnerabilities (CVEs) will surge from 277,000 in 2025 to more than 1 million by 2030.
This expansion means that reactive defenses will leave organizations exposed. Manion warned that relying on outdated models could put products, services, and customer trust at serious risk.
As the next stage of evolution, Gartner is promoting the concept of an Autonomous Cyber Immune System (ACIS). This framework envisions distributed, self-healing, and adaptive defenses designed to match the speed and scale of modern threats.
“Conventional defenses will not withstand the complexity of GASG,” Manion noted. “An autonomous tactical framework like ACIS will become essential for future security strategies.”
Gartner also predicts a market shift from general-purpose DR platforms to sector-focused preemptive solutions. Future tools will be tailored to:
This trend highlights the need for vendor cooperation, interoperability, and shared standards. Gartner stresses that no single provider can defend the entire GASG alone. APIs, data standards, and joint strategies will be vital for success.
For deeper insights, see Gartner’s cybersecurity research or explore NIST’s AI risk management framework.