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Lacework AI vs Qualys AI
This comparison was retrieved by database IDs selected from the catalog.
Lacework AI
Lacework
Qualys AI
Qualys
Enterprise licensing. No public pricing. Annual contracts. Demo available.
Enterprise licensing. No public pricing. Annual contracts. Publicly traded (QLYS). Demo available.
SOC 2 Type II. ISO 27001. GDPR compliant. FedRAMP eligible. Enterprise data handling agreements.
SOC 2 Type II. ISO 27001. GDPR compliant. FedRAMP authorised. PCI DSS. Enterprise data handling agreements.
Cloud infrastructure telemetry processed on Lacework's platform. Review data handling for cloud workload and activity data shared with Lacework.
Asset vulnerability and scan data processed on Qualys cloud. Agent-based scanning transmits endpoint data to Qualys cloud for analysis.
- Polygraph ML behavioural detection finds threats that signature-based tools miss in cloud environments
- Container and Kubernetes security addresses the primary deployment model for modern cloud applications
- Behavioural approach reduces false positives from known-bad signatures that flag legitimate activity
- Compliance and security in one platform reduces tool count for cloud security programmes
- Government, finance, and healthcare validation validates Qualys for regulated industry vulnerability management
- TruRisk AI prioritisation reduces alert fatigue by focusing remediation effort on the highest-risk vulnerabilities
- VMDR unifies discovery, prioritisation, and remediation in one workflow
- FedRAMP authorisation enables US government vulnerability management deployments
- Enterprise-only pricing requires significant cloud security investment
- Behavioural ML requires learning period before effective baseline detection is established
- Competing with Wiz (covered), Orca (rank 610), and Prisma Cloud (covered) in the competitive cloud security market
- Enterprise-only pricing for security teams with significant vulnerability management programmes
- Competing with Tenable (covered), Rapid7 (covered), and Microsoft Defender for vulnerability management
- Agent deployment and maintenance across large enterprise environments requires significant operational investment
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