Strengthening AI Security: The Case for Enhanced Infrastructure Over Additional Tools

The AI security market is at a critical juncture, as highlighted by Latio’s Q2 2025 report. While 93% of security professionals acknowledge AI’s potential to bolster cybersecurity, an alarming 77% feel unprepared against AI-driven threats. Many AI security vendors focus on outdated issues like data loss prevention (DLP) instead of addressing emerging risks from AI applications. The shift towards autonomous AI systems demands stronger infrastructure-level security due to their ability to access sensitive data and conduct transactions. Current container architectures lack the necessary kernel-level isolation and security visibility for these workloads. Organizations spending heavily on AI infrastructure—over $320 billion in 2025—must consider dedicated security tools only if their systems are mature enough. The report predicts rising trends in runtime application protection and “security by design,” emphasizing that companies should prioritize infrastructure readiness and their unique risk profiles over conforming to vendor marketing. Recognizing these gaps is vital for effective AI security strategies.

Source link