Data Exfiltration Detection & Response
Real-time detection of sensitive data exfiltration across pipelines, APIs, and SaaS systems with context-aware threat analysis that correlates anomalies with data lineage, business context, and user behavior to prevent breaches before they spread.
Get a demoWhy is real-time exfiltration detection better than traditional DLP tools?
Data Journey Context-Aware Detection
Correlates anomalies with lineage, entitlements, and business context for precise threat identification.
In-Flight Containment
Prevents exfiltration attempts at runtime before data leaves the pipeline through ecosystem integrations.
Time-Travel Forensics
Review before/after flow and "first seen" moments for defensible investigations and regulatory reporting.
Blast Radius Intelligence
Prioritize alerts by sensitivity × customer tier × lawful basis × exposure scope for efficient SOC operations.
How does data exfiltration detection work from monitoring to response?
Continuously scans telemetry, code, API and SaaS logs, and network flows for abnormal sensitive data movements across all environments. Learn more about real-time threat detection.
Correlates anomalies with data sensitivity, geos, permissions, changes (PRs, schema drift, vendors, models), and user activity against policies/contracts. Read more about AI-powered risk intelligence.
Prioritizes high-value asset exfil alerts with lineage and context. Prioritize alerts by blast radius × sensitivity × customer tier × lawful basis. Learn about data and access governance best practices.
Persists time-series evidence log of all changes in a report for forensic and regulatory review with immutable audit trails. Discover unified security posture management.
Guides containment and blocks exfiltration at IAM, API, and network layers; isolates compromised identities/jobs; integrates with Jira/ServiceNow. Learn about DevSecOps integration workflows.
What business value does real-time exfiltration detection provide?
Faster Threat Detection
Catch exfiltration attempts within minutes, not hours, with context-aware anomaly detection.
Reduced Blast Radius
Contain sensitive data exposure before it spreads across systems and third-party environments.
Higher SOC Efficiency
Prioritize alerts with full context to cut false positives by up to 70% and accelerate incident response.
The complete picture of your data in motion
Ditch legacy tools that miss the action with continuous tracking that follows data flows from source code to AI models, predicting and preventing violations in real-time. Learn about Data Journeys breakthrough technology.
“AI is creating and moving data faster than any team can track. Only AI-native tools like Relyance can keep up with the discovery and enforcement loop.”
"With Relyance AI, we established enhanced visibility of data processing activities, seeing an impressive increase of 1,660% within three weeks of deployment."
FAQ
What is data exfiltration detection and response?
Data exfiltration detection and response is a real-time security system that monitors sensitive data movements across pipelines, APIs, and SaaS environments, correlating anomalies with business context to identify and contain threats before data leaves your organization. Learn more about threat detection capabilities.
How does context-aware detection improve threat accuracy?
Context-aware detection correlates data anomalies with lineage, user permissions, business purpose, and environmental changes to eliminate false positives while identifying genuine threats. This approach provides rich context that traditional DLP tools miss, enabling faster and more accurate threat identification. Discover AI governance best practices.
What makes real-time containment different from traditional DLP?
Real-time containment blocks exfiltration attempts at runtime through API integrations and policy enforcement before data leaves pipelines, unlike traditional DLP that only alerts after data has already moved. This proactive approach prevents breaches rather than just detecting them. Read about third-party risk management.
How quickly can exfiltration attempts be detected and contained?
Exfiltration attempts are detected within minutes through continuous monitoring and contained in real-time before data leaves the environment. The system provides immediate alerts with full context and automatically triggers containment workflows to minimize exposure time and blast radius.
Which environments does exfiltration detection monitor?
The platform monitors sensitive data movements across code repositories, cloud infrastructure, API endpoints, SaaS applications, network flows, and third-party integrations, providing comprehensive coverage of all potential exfiltration vectors. Explore unified trust and governance systems.
