The GigaOm 2025 Radar for Container Security evaluates 22 leading solutions and identifies the capabilities that matter most for protecting dynamic, AI-driven cloud environments. See how vendors stack up, and who earned top marks for securing containers from development to runtime.
AI workloads are redefining how applications are built, deployed, and secured. With the rise of AI and LLM-powered apps, containers have become the foundation of modern AI delivery, bringing new urgency to container security.
What You’ll Learn
Which vendors received the highest score for runtime protection and full lifecycle coverage
Essential and emerging features for container security in AI-powered environments
Comparative analysis of leading solutions, including strengths, weaknesses, and differentiators
Expert opinion on container security as the foundation for AI security
What to Look for in a Container Security Partner
Protection for AI Workloads: Ensure support for containerized AI apps, including real-time defenses against prompt injection, model misuse, and output tampering.
Full Lifecycle Security: From development to production, get visibility and control across the entire software lifecycle without slowing innovation.
Runtime Detection and Response: Stop zero-day attacks and high-risk behavior in real time, where static tools fall short.
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