Correlate threat signals, identity compromise evidence, AI fraud indicators, and incident response work into prioritized action.
Correlate signals from identity, endpoint, email, cloud, SaaS, application, and threat intelligence systems into prioritized findings.
Detect AI-generated fraud across voice, video, documents, approvals, messages, executive workflows, and high-risk transactions.
Coordinate intake, triage, containment, investigation, playbooks, tasks, communications, timelines, and evidence preservation.
Assess model providers, datasets, dependencies, artifacts, vendors, and delivery pipelines for AI supply-chain risk.
Detect and prevent sensitive data, model, prompt, and AI-output loss or exfiltration.
Connected incidents, owners, playbooks, stakeholder updates, timelines, and evidence in one operating record.
No. It prioritizes and operationalizes cross-domain findings for lean teams and can feed or consume signals from existing SIEM and SOC tools.