Docker, Inc.®, a provider of cloud-native and AI-native development tools, infrastructure, and services, today announced the acquisition of MCP Defender, a company founded to secure AI applications.
The rapid evolution of AI-from simple generative models to powerful agentic tools-has transformed software development in extraordinary ways. But as with all powerful technologies, new capabilities bring new security challenges. We recently highlighted critical MCP security issues on the Docker blog, emphasizing how essential it is to secure our emerging AI infrastructure. Building on that discussion, we want to offer our perspective on the current state of AI security, outline its trajectory, consider what this means for organizations developing AI agents and tools, and explore Docker’s vision for securely empowering these new AI workloads.
Today’s AI security landscape mirrors the early days of container adoption: rapid innovation, widespread enthusiasm, but significant uncertainty around risks. AI agents now routinely execute critical tasks – from automated code generation and system administration to customer interaction – often interfacing directly with sensitive data and critical infrastructure. The security stakes have never been higher.
Looking ahead, securing AI infrastructure will require a significant shift towards runtime monitoring, real-time threat detection, and continuous security evaluation. Organizations will increasingly adopt tools designed specifically to detect and respond dynamically to threats occurring at runtime. Instead of relying solely on preventative measures, security strategies will embrace active monitoring and intelligent automation.
For companies developing AI agents and MCP tools, these security shifts are profound. Security can no longer be a late-stage consideration-it must be embedded from the earliest design phase. These solutions must transparently enforce policies, providing clear guardrails that reduce the cognitive load on development teams. Security for AI agents should be frictionless – built seamlessly into the workflows developers already use every day.
Docker’s mission has always been to simplify application development while ensuring security and portability. Extending that mission to agentic AI means integrating security deeply into the infrastructure itself. Docker’s vision is clear: secure-by-default AI infrastructure where every interaction is automatically verified, every threat proactively detected, and every policy transparently enforced. Docker’s commitment to security extends beyond AI, with products such as Docker Scout and Docker Hardened Images.