SECURITY ANALYTICS
Protect and Monitor Your Data Lake with Qlik's Security Analytics Platform
Strengthen data lake security with threat detection. Detect threats, monitor risks, and ensure governance.
Strengthen data lake security with threat detection
Don't wait for an audit to find vulnerabilities. Proactively monitor your data lake to secure sensitive information.
Identify anomalies and access risks instantly
Automatically flag unusual access patterns, unauthorized downloads, or configuration changes that indicate a breach.
Maintain governance and compliance
Automate compliance reporting for GDPR, HIPAA, and CCPA by tracking exactly who accesses what data and when.
Unify security visibility
Gain a single view of security posture across all your data lakes, warehouses, and pipelines.
How Qlik's data lake security analytics works
Step 1: Connect data lake logs and security telemetry
Step 2: Analyze threats with AI-driven security models
Step 3: Visualize risk trends and access patterns
Step 4: Automate alerts and remediation actions.
Why choose Qlik for data lake security analytics?
See everything in one place
Eliminate blind spots by aggregating security logs from AWS, Azure, Google Cloud, and on-premises lakes into a central dashboard.
Granular control over your data
Enforce fine-grained access policies and ensure that only authorized users can view sensitive PII or financial data.
Bridging the gap between SecOps and DataOps
Provide security teams with the insights they need without slowing down data engineering workflows.
Core capabilities of Qlik's data lake security analytics
Threat detection and anomaly monitoring
Use behavioral baselining to detect insider threats and compromised credentials immediately.
Access governance and user behavior analytics
Track user journeys through your data to understand usage context and verify legitimate access.
Automated alerts and operational insights
Trigger instant alerts to SIEM or SOAR tools when high-severity risks are detected.
Sensitive data discovery
Automatically scan and tag sensitive data (PII, PHI) to ensure it is properly protected and encrypted.
Audit trail retention
Keep immutable logs of all data interactions for forensic analysis and compliance audits.
Cross-platform policy enforcement
Apply consistent security policies across different storage engines and compute platforms.
Trusted by leading enterprises worldwide
What our customers say
We started an automation process with Qlik and now we only have half the people managing reports. The other half is doing activities allowing us to leapfrog the competition by providing even more proactive analytics vs. reactive.
Connect to 500+ data sources with Qlik’s analytics integrations
SAP
Adobe
IBM
AWS
MySQL
Jira
Azure
MS SQL
Apache
Mongo DB
SAP
Adobe
IBM
AWS
MySQL
Jira
Azure
MS SQL
Apache
Mongo DB
SAP
Adobe
IBM
AWS
MySQL
Jira
Azure
MS SQL
Apache
Mongo DB
SAP
Adobe
IBM
AWS
MySQL
Jira
Azure
MS SQL
Apache
Mongo DB
SAP
Adobe
IBM
AWS
MySQL
Jira
Azure
MS SQL
Apache
Mongo DB
Oracle
Salesforce
Workday
Apache Iceberg
CircleCI
Zendesk
Snowflake
Databricks
OpenAI
Intuit
Oracle
Salesforce
Workday
Apache Iceberg
CircleCI
Zendesk
Snowflake
Databricks
OpenAI
Intuit
Oracle
Salesforce
Workday
Apache Iceberg
CircleCI
Zendesk
Snowflake
Databricks
OpenAI
Intuit
Oracle
Salesforce
Workday
Apache Iceberg
CircleCI
Zendesk
Snowflake
Databricks
OpenAI
Intuit
Oracle
Salesforce
Workday
Apache Iceberg
CircleCI
Zendesk
Snowflake
Databricks
OpenAI
Intuit
Resources
Data lake security analytics FAQs
No, it complements your SIEM by providing deep, specialized visibility into data lake transactions and access patterns that general SIEMs often miss.
Yes, by monitoring for anomalous mass-deletion or mass-encryption events, the platform can flag early signs of ransomware activity.
The platform processes logs and telemetry quickly, enabling alerts to be sent within seconds of a detected anomaly.