Ten agent workflows for the IR Team — breach investigation intelligence, attacker infrastructure mapping, domain forensics, rapid containment decisions, victim notification assessment, data exfiltration path analysis, post-incident threat landscape review, IR playbook enrichment, evidence collection automation, and post-breach vendor re-assessment — providing domain intelligence context for every phase of the incident response lifecycle.
AI agent performs rapid domain forensics during breach investigations — analyzing every domain involved in the incident to determine attacker infrastructure, C2 channels, data exfiltration endpoints, and the full scope of compromise using domain intelligence.
AI agent provides rapid containment intelligence during active incidents — analyzing domain relationships to determine blast radius, identifying which systems communicated with attacker infrastructure, and recommending surgical containment actions.
AI agent traces the complete data exfiltration path by analyzing domain intelligence of every external endpoint that received data — determining what data left, where it went, and the legal jurisdiction implications.
AI agent assesses which customers and individuals must be notified — determining notification obligations, timelines, and jurisdictional requirements using domain intelligence for geographic analysis.
AI agent profiles the attacker by matching incident domain patterns against known threat actor infrastructure fingerprints — using domain intelligence patterns to attribute the attack and predict next moves.
AI agent enriches incident response playbooks with real-time domain intelligence — automatically adding domain context, trust scores, and enrichment data to playbook steps so responders make faster, better-informed decisions.
AI agent automates evidence collection during incidents by capturing domain intelligence snapshots — creating timestamped, immutable records of domain configurations for forensic and legal proceedings.
AI agent conducts a post-incident threat landscape review — analyzing the broader domain ecosystem to determine if the attack was part of a wider campaign, identifying other potential victims, and assessing ongoing risk.
AI agent re-assesses all vendor relationships after a breach — analyzing whether the attack exploited vendor access, checking vendor domain health changes, and identifying supply chain weaknesses that contributed to the breach.
AI agent generates comprehensive incident metrics and lessons learned — quantifying how domain intelligence accelerated detection, containment, and investigation, and recommending improvements to prevent similar incidents.
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