Real-time AI
Govern, secure, and ensure the quality of your streaming data—so that you can improve the precision, relevance, and effectiveness of your AI initiatives.
Poor data quality breaks AI outcomes
Missing fields, duplication, and schema drift corrupt real-time inference and lead to bad decisions..
No governance means no trust
Teams build in silos, creating inconsistent topics and shadow data that no one owns.
Security gaps expose data
Most pipelines lack encryption, access controls, and audit trails—risking customer data and compliance.
The Fastest Path to an AI-Ready Kafka
Speed to Production
Data Governance
Security & PII
Team Efficiency
Operational Cost
Future Readiness
Difficult to adapt for new AI/ML use cases
Built to scale real-time AI workloads with trust and speed
Why Trust Conduktor for Kafka?
Implement + automate governance
Ensure high-quality data at the source.
Monitor Kafka pipelines + performance
Identify and resolve issues before they escalate.
Standardize autonomy
Enable teams to provision Kafka resources while enforcing centralized policies.
Align tech, teams, & processes
Never sacrifice security for innovation—have both.
Six Steps to Deliver
Trusted Streaming Data for AI
Data sources
01
Define Governance Standards
Platform, security, and architecture teams establish naming rules, schema contracts, and access policies.
02
Enforce Data Quality Policies
Platform, security, and architecture teams establish naming rules, schema contracts, and access policies.
03
Secure the Data Streams
Security teams apply encryption, role-based access, and audit logging across Kafka.
04
Monitor Data Flow and Health
SREs and DevOps track pipeline performance and catch issues before they impact downstream systems.
05
Enable Team Autonomy with Guardrails
Application teams self-serve Kafka resources while the platform team keeps central control.
06
Deliver High-Quality Data to AI Systems
ML and data teams rely on clean, real-time data streams for training and inference.
kafka
AI Systems
Real-World Use Cases for Streaming + AI
Kafka + Conduktor power the AI that runs on live data—where precision, speed, and trust are everything.
Real-Time Fraud Detection
AI needs instant access to transaction data to stop fraud before it happens. Conduktor ensures clean, secure, and compliant data flows—so threats don’t slip through
Security Threat Detection
AI must process login events, firewall logs, and user behavior as they occur. Conduktor gives you visibility and control over every stream feeding your detection systems.
Predictive Maintenance
AI relies on IoT telemetry to detect early signs of failure and avoid downtime. Conduktor enforces upstream data quality, so models run on accurate, trusted inputs.
Recommendation Engines
AI adapts instantly to real-time behavioral data to personalize offers and content. Conduktor manages behavioral streams with precision and policy—so every interaction counts.
Compatible with major Kafka and Flink providers
