<div id="readability-page-1"><div>Dubai, United Arab Emirates – Confluent, an IBM company and the data streaming pioneer, today announced new capabilities in Confluent Intelligence and Confluent Cloud that streamline how real-time artificial intelligence (AI) applications are built and secured.These updates remove the security and complexity barriers that stop organizations from moving AI workloads into the real world:● Confluent unifies the AI life cycle with tools that developers already live in, integrating Apache Flink® pipelines with dbt (data build tool) and introducing a fully managed Model Context Protocol (MCP) server and Agent Skills that let AI manage streaming operations.● With automated personally identifiable information (PII) redaction and private connectivity to external models via Azure Private Link, Confluent embeds enterprise-grade governance directly into the data streams.“Most AI projects fail before they reach a single customer because the data layer breaks down,” said Sean Falconer, head of AI at Confluent. “Teams have the models and the mandate, but security risks and fragmented data stop them from shipping. We’re fixing that by making the streaming layer the foundation for secure, production-ready AI.”The problem is widespread, according to a McKinsey report that says, “... eight in ten companies cite data limitations as a roadblock to scaling agentic AI.” Root causes are often tied to security teams blocking data from entering AI pipelines due to exposure risks and developers losing hours to tool-switching to inspect and manage the data streams their AI depends on. The resulting slow, manual process turns what should be a fast iteration cycle into a bottleneck.The Engine for Secure, Scalable AIConfluent Cloud and Confluent Intelligence form the data streaming foundation for production-ready AI that continuously processes historic and real-time data and delivers it as trusted context into AI applications. New capabilities add the security controls and developer tooling that high-stakes industries require:● Natural language operations: Developers can use Confluent MCP as a control plane, allowing AI to build, manage, and debug streaming operations using natural language. Agent Skills add a second layer, encoding best practices and workflows so those operations are executed consistently and in line with organizational standards. Together, they enable developers to create and continuously improve real-time applications using AI-powered tools, bringing streaming into modern, agent-driven development workflows. Generally available for Confluent Cloud.● Automated data privacy: A new built-in ML function for PII detection and redaction protects sensitive information directly in Flink SQL, without custom code, external services, or moving data to a warehouse first. This unlocks more AI use cases across highly regulated industries such as financial services, healthcare, and insurance. Available in early access for Confluent Intelligence.● Secure connectivity: Support for Azure Private Link ensures that AI workloads stay off the public internet with secure, private paths to calling external models and querying external tables. Now, Flink jobs can securely connect to Azure-hosted services such as Azure OpenAI, Azure SQL, and Cosmos DB over Microsoft's private backbone. Generally available on Confluent Cloud.● Unified engineering workflows: The free open source dbt adapter brings Flink SQL on Confluent Cloud into dbt, the industry-standard framework data that engineers use to build and manage data pipelines. Teams can immediately define, test, and deploy streaming pipelines using the same dbt commands and project structure they rely on today. This lowers the barrier to Flink adoption and makes it easier to extend existing data workflows into real-time use cases. Generally available on Confluent Cloud.● Flexibility with additional model support: Confluent supports TimesFM models for robust anomaly detection as well as Anthropic and Fireworks AI models, which developers can directly use in Flink stream processing workflows to build sophisticated real-time AI applications.Highlights include the general availability of the Real-Time Context Engine, which continuously delivers fresh, governed context for AI applications, and new fully managed connectors in Confluent Cloud that further simplify data integration.These capabilities extend recent announcements at IBM Think that integrate Confluent Cloud further into IBM solutions. With Confluent, watsonx.data delivers an AI-ready data foundation and a real-time context layer for AI across hybrid environments.About ConfluentConfluent, an IBM company, is the data streaming platform that is pioneering a fundamentally new category of data infrastructure that sets data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion—designed to be the intelligent connective tissue enabling real-time data from multiple sources to constantly stream across an organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital frontend customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, visit www.confluent.io.As our roadmap may change in the future, the features referred to here may change, may not be delivered on time, or may not be delivered at all. This information is not a commitment to deliver any functionality, and customers should make their purchasing decisions based on features that are currently available.Confluent® and associated marks are trademarks or registered trademarks of Confluent, Inc.Apache®, Apache Kafka®, Kafka®, Apache Flink®, and Flink® are registered trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by the Apache Software Foundation is implied by the use of these marks. All other trademarks are the property of their respective owners.Send us your press releases to pressrelease.zawya@lseg.comDisclaimer: The contents of this press release was provided from an external third party provider. This website is not responsible for, and does not control, such external content. This content is provided on an “as is” and “as available” basis and has not been edited in any way. Neither this website nor our affiliates guarantee the accuracy of or endorse the views or opinions expressed in this press release.The press release is provided for informational purposes only. The content does not provide tax, legal or investment advice or opinion regarding the suitability, value or profitability of any particular security, portfolio or investment strategy. Neither this website nor our affiliates shall be liable for any errors or inaccuracies in the content, or for any actions taken by you in reliance thereon. You expressly agree that your use of the information within this article is at your sole risk.To the fullest extent permitted by applicable law, this website, its parent company, its subsidiaries, its affiliates and the respective shareholders, directors, officers, employees, agents, advertisers, content providers and licensors will not be liable (jointly or severally) to you for any direct, indirect, consequential, special, incidental, punitive or exemplary damages, including without limitation, lost profits, lost savings and lost revenues, whether in negligence, tort, contract or any other theory of liability, even if the parties have been advised of the possibility or could have foreseen any such damages.</div></div>

CFLT

Confluent, an IBM company, has announced new capabilities in Confluent Intelligence and Confluent Cloud to enhance the building and securing of real-time AI applications. These updates address security and complexity barriers, integrating tools like Apache Flink and dbt, and introducing automated PII redaction. The enhancements aim to streamline AI workflows, ensuring secure connectivity and enabling developers to create production-ready AI applications efficiently. Key features include natural language operations, automated data privacy, and support for various AI models, all designed to facilitate real-time data processing.

ZAWYA: Confluent makes it easier to build and secure real-time AI at scale