This talk presents early research into how AI agents behave when competing in cyber scenarios, building on recent findings that AI exhibits unpredictable escalation patterns in conflict simulations. Using a multi-agent framework, we study how AI agents coordinate attacks, respond to defensive measures, and escalate their tactics when competing against each other. Our preliminary findings reveal concerning patterns where agents develop increasingly aggressive strategies and discover novel attack combinations through competitive dynamics, even in controlled scenarios.