Dynatrace uses AI for full-stack observability, predicting crashes and automating root cause detection. It transforms reactive technical support into proactive operations for complex systems.
Targets SRE teams in cloud-native setups, offering AI-powered automation. Reduces MTTR significantly. Differentiates with Davis AI engine for causal AI analysis.
Enterprise contracts explicitly prohibit using customer data for model training. Standard NDA/agreement requirements pro
No training on user data means no opt-out is necessary.
Low risk across data training, licensing, and sharing dimensions.
Enterprise contracts explicitly prohibit using customer data for model training. Standard NDA/agreement requirements provide contractual protection against shadow training.
“Standard enterprise contracts explicitly prohibit using customer data for model training”
Customer retains ownership of observability data. Platform license is clearly separated from data ownership, minimizing implicit licensing risks.
“Customer owns all observability data; Dynatrace owns platform”
Subprocessors transparently listed in trust center with standard enterprise vendor management practices. No undisclosed third-party data sharing risks.
“Subprocessors listed in trust center; standard enterprise vendor management”
Enterprise contract-based retention with configurable terms allows organizations to enforce specific retention policies matching compliance requirements.
“Enterprise contract-based; typical enterprise terms with configurable retention”
Clear IP ownership separation: customers own observability data, Dynatrace owns platform. Eliminates ambiguity in data control.
“Customer owns all observability data; Dynatrace owns platform”
Comprehensive compliance certifications (SOC 2 Type II, ISO 27001:2022, GDPR, HIPAA, FedRAMP Moderate, EU-US DPF) demonstrate third-party validation of governance practices.
“SOC 1 Type II, SOC 2 Type II, ISO 27001:2022, GDPR, HIPAA, FedRAMP Moderate, CSA, EU-US Data Privacy Framework, TISAX”
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