AI driving cybersecurity investments
AI is reshaping cybersecurity by changing how fast threats emerge and how quickly organizations must respond. Attackers can use AI tools to map targets, automate intrusions and generate convincing digital deceptions. Cybersecurity spending continues to grow faster than global GDP. AI has become both a driver of new cyber risks and a durable engine of long-term market opportunity, financial data firm PitchBook says in a report showing that AI-native cybersecurity accounted for 50.5% of global cybersecurity VC deals in 2025.
“As AI becomes easier to access through public interfaces and online services, the range of vulnerable systems grows across software, data, and supply chains. Security teams are responding by adopting AI-native platforms that learn normal behaviour across identity, cloud, and network environments and generate their own insights instead of relying only on rules or signatures.”
In 2025, companies building AI-driven cyber tools represented 50.5% of all global cybersecurity VC (venture capital) deals by count.
“AI-driven threats are reshaping the cybersecurity landscape, and private markets are responding just as quickly. Attackers now use agentic systems, polymorphic malware, deepfake-enabled social engineering, and AI-as-a-service tools to automate reconnaissance and intrusions at machine speed.”
“This shift is accelerating demand for AI-native platforms that can detect and respond in real time across cloud, identity, and network environments.”
The report says that geopolitical pressure, expanding cloud footprints, and emerging regulations are turning AI security from a reactive cost center into strategic infrastructure.
“Governments in the US, EU, and Asia-Pacific region are scaling cyber budgets; enterprises are prioritizing model-level protection and secure software pipelines; and startups are driving new approaches in autonomous detection, offensive security, and data integrity. As AI becomes both the source of new risks and the foundation of modern defense, the market is coalescing around companies that secure models, safeguard data pipelines, and deliver continuous AI-driven responses.”
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