BigID, a global leader in data intelligence and security, announced the launch of Embedded BigID, a developer-first software development kit (SDK) that brings BigID’s industry-leading data discovery, classification, and protection capabilities directly into organizations’ own applications, pipelining environments, endpoints, and AI frameworks.
As AI increasingly permeates business workflows and data flows through a growing number of systems and endpoints, BigID warns that the traditional perimeter-based model of data protection is no longer sufficient. Embedded BigID addresses this shift by positioning security within the application code itself representing a new, foundational layer of defense, rather than an add-on.
“AI is moving into every workflow. Applications are becoming more autonomous. Data is flowing through more systems, more endpoints, and more code paths than ever before. The attack surface has shifted from infrastructure to the application layer. The question is no longer how to secure data. It’s where that security needs to live.” Sarah Hospelhorn, Chief Marketing Officer, BigID
Key Features of Embedded BigID
- Data-Awareness at Runtime: Embedded BigID enables applications to become context-aware, classifying data in real time to understand its sensitivity and apply policy protections automatically. According to BigID, this capability empowers pipelines to enforce governance before downstream consumption, and enables AI agents to reason about sensitive or regulated information with built-in safeguards.
- Built for AI-Driven Engineering: The SDK supports embedding into a wide range of environments, including application code, internal services, edge devices, ETL/ELT pipelines, and AI frameworks such as LangChain.
- Advanced Classification Out of the Box: Embedded BigID includes BigID’s full suite of pattern-based classifiers by default including MCP (most-critical patterns) giving developers access to powerful classification without additional configuration.
- Enterprise-Scale Performance: Designed for high-performance environments, the SDK supports real-time classification and decisioning without introducing latency. Embedded BigID also integrates seamlessly with the broader BigID platform combining with DSPM, AI governance, compliance automation, and data protection for a unified security posture.
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Why Embedded BigID Matters
According to BigID, many organizations today must balance the benefits of AI with serious data risk: sensitive data may be embedded in LLM (large language model) prompts, shadow pipelines may proliferate, and data flows may not be fully tracked in agentic systems.
By placing data intelligence directly within applications, Embedded BigID helps developers build securely from the ground up, gives security teams confidence in their production environments, and establishes a new standard for responsible innovation.
“As applications generate AI insights, drive user experiences, and support automation, security needs to live where data lives inside the applications themselves,” BigID states.
