Security and IT leaders are facing a new reality. 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.
BigID’s answer is simple. Put it directly into the application.
Introducing Embedded BigID. A developer-first offering that brings BigID’s industry leading data discovery, classification, and protection capabilities straight into an organization’s own apps, endpoints, pipelines, and AI frameworks. It gives engineering and security teams a single, unified way to build data-intelligent and data-secure software from the start.
A New Layer of Defense: Inside the Code Itself
Modern software teams are shipping faster than security teams can review. AI is generating code. Data is being consumed by LLMs, agentic frameworks, and automation systems at immense scale. Traditional perimeter controls can’t keep up.
Embedded BigID shifts data security left into the places where developers already work. That means:
- Applications become context aware about the data they are handling.
- Pipelines can classify and govern data before it flows downstream.
- AI agents can reason about sensitive, regulated, or high-risk information with built-in guardrails.
This creates an environment where security is not bolted on. It’s foundational.
Built for the AI Era
The new SDK is designed for the demands of AI-driven engineering. Developers can embed BigID anywhere data moves, including:
- Application code and internal services
- Endpoints, devices, and edge environments
- ETL and ELT pipelines
- AI agentic frameworks like LangChain
This approach means every software component can identify what data it is touching, understand its sensitivity, and apply the right policy automatically.
Critically, all of BigID’s pattern-based classifiers are built into the SDK out of the box. That includes BigID classifiers to detect MCP Servers. Developers get the full library on day one without extra configuration or integration work. Every application gains instant access to the most advanced and accurate data classification on the market.
Fast at Scale. Purpose-Built for the Enterprise.
Embedded BigID brings the same scale, speed, and precision trusted across global enterprises. It is engineered for high-performance environments where classification and decisioning need to run in real time, without slowing down the application.
It also connects seamlessly with the broader BigID platform. Teams can combine Embedded BigID with capabilities across DSPM, AI governance, compliance automation, and data protection for a complete end-to-end security posture.
Why It Matters Now
Organizations want the advantages of AI. They also understand the risks. Sensitive data inside LLM prompts. Shadow pipelines. Untracked flows inside agentic systems. Application-level data sprawl. These risks aren’t theoretical. They’re here.
Security needs to live where data lives. That’s inside the applications generating AI insights, powering user experiences, and driving automation.
Embedded BigID closes that gap. It gives developers the tools to build securely. It gives security teams confidence in what’s running in production. It gives organizations a new baseline for responsible innovation.
See It in Action
The fastest way to understand Embedded BigID is to see it working inside your own apps. Get in touch today to explore how to build data-aware, AI-secure apps with BigID.
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