Giving an AI agent more tools can make it more useful. Giving several agents those tools at once creates a harder question: how does an enterprise keep track of what each one is doing, and stop a bad action before it reaches a real system? Anaconda’s October 6 platform expansion addresses that problem by pairing coordinated AI development with autonomous security testing. It brings together technology from Kilo Code, Enkrypt AI and Outerbounds across development workspaces, security controls…