Darktrace / CLOUD

While it addresses detection and response, it may not cover the full breadth expected from a consolidated CNAPP platform (for example, deep infrastructure-as-code scanning, comprehensive posture management, and end-to-end vulnerability prioritization) in a single workflow. Organizations may still require separate tools for CSPM, CIEM, and workload vulnerability management depending on requirements. This can increase integration and operational overhead. Buyers should validate which controls are native versus dependent on integrations.

Behavioral detection systems typically require tuning to align with an organization’s cloud usage patterns and acceptable administrative behavior. Early deployments can generate alerts that need analyst validation and feedback loops to reduce noise. This can be resource-intensive for small teams or environments with frequent change. Ongoing governance is needed to keep detections relevant as cloud architectures evolve.

Effective cloud detection depends on access to high-quality logs, identity data, and cloud API telemetry, which can vary by cloud provider and account configuration. Gaps in logging configuration, retention, or permissions can reduce detection fidelity and investigation context. Integration work may be required to align with existing SIEM/SOAR, ticketing, and cloud-native security services. Buyers should confirm supported data sources, required permissions, and any additional cloud costs for log collection.