COHORT: Collaborative Orchestration for Hardening via Offensive Replay on Emulated Topologies
arXiv:2606.30479v1 Announce Type: cross Abstract: Mitigating an observed adversary in an enterprise network typically takes weeks of expert work: an analyst derives a mitigation tailored to that adversary, validates it without breaking production, and verifies it disrupts the specific attack. The procedure relies on expert judgment and cannot safely be exercised against the production network. COHORT is the first end-to-end framework to automate this procedure for deployable mitigations. A role-decomposed multi-agent LLM workflow proposes candidates, implements them as real device commands, an
The increasing sophistication of cyber threats and the advent of advanced AI capabilities make automated defensive systems both necessary and feasible.
This development represents a significant leap in automating cybersecurity, potentially reducing response times from weeks to minutes and enhancing network resilience against sophisticated adversaries.
The reliance on human experts for crafting and validating network mitigations shifts towards an AI-driven, automated process using emulated environments.
- · Cybersecurity companies leveraging AI
- · Large enterprises with complex networks
- · National security agencies
- · Adversaries relying on slow defensive responses
- · Manual security operations centers
Automated deployment of validated security mitigations accelerates defense against cyber threats.
Organizational cybersecurity posture significantly improves, reducing the window of opportunity for attackers.
The arms race in cyber warfare accelerates, with AI-driven defenses compelling adversaries to develop more advanced AI-driven offenses.
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Read at arXiv cs.AI