Random Number Generator IP Cores

Random Number Generator IP cores implement hardware-based cryptographic functions for trusted SoC and ASIC architectures in modern SoC and ASIC designs.

These IP cores support entropy generation and random data creation for cryptography, keys, and security protocols, helping designers improve security throughput, reduce CPU overhead, and strengthen system trust anchors

This catalog allows you to compare Random Number Generator IP cores from leading vendors based on security level, throughput, power efficiency, and process node compatibility.

Whether you are designing key generation, secure provisioning, trusted execution, or cryptographic subsystems, you can find the right Random Number Generator IP for your application.

 
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Compare 20 Random Number Generator IP Cores from 11 vendors

What is Random Number Generator IP?

Random Number Generator IP is a hardware security block used in SoCs and ASICs to implement entropy generation and random data creation for cryptography, keys, and security protocols.

It is used to add proven cryptographic capability to embedded, automotive, infrastructure, and high-assurance platforms.

Main functions of Random Number Generator IP

Protection capability

Random Number Generator IP provides dedicated hardware support for security-critical operations and policy enforcement.

System-level integration

It is typically deployed alongside Root of Trust, key-management, cryptographic, or interface-security architectures.

Performance and assurance

Dedicated Random Number Generator IP helps improve throughput, reduce software overhead, and strengthen security assurance.

Lifecycle relevance

It supports secure manufacturing, deployment, runtime protection, or long-term trust management depending on the use case.

Key features of Random Number Generator IP cores

  • Hardware-based security enforcement
  • Lower software overhead
  • Useful in trusted architectures
  • Better integration of security functions
  • Reusable across secure SoC programs

How to choose Random Number Generator IP

Selecting the right Random Number Generator IP depends on your application and integration requirements:

  • target threat model
  • certification or compliance needs
  • performance and latency requirements
  • integration with the security architecture
  • power and area budget

Applications of Random Number Generator IP cores

  • key generation
  • secure provisioning
  • trusted execution
  • cryptographic subsystems

Compare Random Number Generator IP cores from leading vendors

This catalog provides access to a wide range of Random Number Generator IP cores from leading semiconductor IP providers.

Use filters to compare solutions based on hardware-based security enforcement, lower software overhead, useful in trusted architectures, and integration requirements.

Frequently asked questions about Random Number Generator IP cores

What is Random Number Generator IP?

Random Number Generator IP is a reusable hardware block used in SoCs and ASICs to implement this function with production-ready integration, verification support, and platform reuse.

What capabilities does Random Number Generator IP typically provide?

Typical capabilities include performance-optimized implementation, integration with the surrounding subsystem, configurable feature support, and reuse across multiple SoC or ASIC programs.

Where is Random Number Generator IP used?

Random Number Generator IP is commonly used in key generation, secure provisioning, trusted execution, and cryptographic subsystems depending on the target product and architecture.

How do I choose Random Number Generator IP?

You should consider supported features, performance targets, power consumption, verification maturity, system integration requirements, and process node compatibility.

Why use dedicated Random Number Generator IP instead of building it from scratch?

Using proven Random Number Generator IP reduces design risk, shortens development time, and helps teams reach production faster with better interoperability and validation coverage.

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