Tool · curated 29 Jul 2026
Red Agents vs. Blue Agents: How to Make AI Better At Defense
First reported darkreading.com
Coverage timeline
Single-source analysis — first reported, latest, and curated coincide.
Why it matters
DreadGOAD and Ares give defenders a reproducible way to benchmark autonomous attack and defense agents, addressing the widening AI offense-defense gap as agentic systems enter security operations.
Dark Reading reports that AI offensive-security startup Dreadnode released two open-source tools, DreadGOAD (a reproducible Active Directory training environment) and Ares (an agentic red-team/blue-team system), to measure the effectiveness of agentic defenders. In DreadGOAD, Ares red-team agents discover hosts, escalate privileges, and compromise the environment while blue-team agents analyze telemetry, triage alerts, and attempt to contain the activity.