Turn Data Incidents Into Instant Action
Legacy data loss prevention (DLP) buries analysts in false positives while real incidents slip through. Cyberhaven traces sensitive data across its full lifecycle and detects insider risk, IP theft, and risky generative AI (GenAI) usage. Torq enriches each incident and orchestrates containment across the security operations stack, closing the gap between data exposure and containment from days to minutes.
What's inside
How Lineage-Based Detection Feeds Automated Response
Cyberhaven traces sensitive data across endpoints, cloud, browsers, and GenAI tools, then raises an incident when it detects insider risk or IP theft.
Torq Hyperautomation enriches each incident with user, device, identity, and data lineage context before an analyst opens a case.
Torq closes the loop by updating Cyberhaven with resolution status, so the data security source of truth stays current.
How Socrates AI SOC Analyst Chooses a Response
Socrates AI SOC Analyst evaluates each enriched event, correlates it against historical signal, and decides the right path.
High-confidence incidents trigger automated containment, such as blocking the data action, isolating the user through identity and access management (IAM), or notifying owners.
Incidents that need human judgment route to an analyst for approval, with lineage, user behavior, and business context already attached.
Three Use Cases for Faster Data Incident Response
Insider risk and IP theft response. Torq adds HR and identity context, blocks sensitive data headed to personal accounts, USB, or unsanctioned destinations, and opens a case.
GenAI data exposure containment. Torq applies the right policy, blocks or coaches the user, and routes a Slack notification the moment sensitive data reaches a GenAI tool.
Accelerated incident investigation. Data lineage flows into Torq workflows that auto-build the timeline, replacing hours of manual investigation with seconds of context.