Analog Devices Expands CodeFusion Studio to Enhance Data Security

Analog Devices has introduced an enhanced version of its CodeFusion Studio developer platform. The expanded offering includes the CodeFusion Studio System Planner for streamlined resource allocation in heterogeneous architectures and the Data Provenance Software Development solution to ensure secure data authentication.

The CodeFusion Studio System Planner is designed to help developers optimize code generation, efficiently manage system resources, and speed up product development. It provides open-source tools for flexible project creation, graphical memory partitioning, and real-time system performance insights.

The Data Provenance Software Development solution is a new security-focused framework that ensures data trust and traceability throughout its lifecycle. By securing metadata and applying cryptographic proof, this solution enhances data integrity and ensures authenticity from creation to storage.

With the increasing complexity of embedded systems, developers need more efficient tools to handle multi-core processors, real-time operating systems, and advanced firmware platforms. The CodeFusion Studio System Planner simplifies system design, allowing engineers to quickly generate proof-of-concept designs while ensuring seamless integration of multiple components.

Additionally, in an era where data security is critical, the Data Provenance Software Development solution protects data integrity, reducing risks in AI-driven applications, industrial automation, and IoT deployments.

The System Planner enables graphical memory and peripheral allocation, helping developers automatically generate linker scripts and device tree overlays. It also features RTOS-aware configuration tools, offering a flexible framework for firmware development across multiple platforms like Zephyr RTOS.

The Data Provenance solution integrates cryptographic proofs and secure metadata to ensure data remains authentic and tamper-proof, supporting trustworthy AI and machine learning models.

With these new solutions, ADI aims to simplify embedded development, enhance security, and accelerate innovation at the Intelligent Edge.