Lightweight, open-source runtime security. On-device anomaly detection for low-power embedded and IoT devices, with no dynamic memory allocation.
- Apache 2.0
- C11 static library
- No heap allocation
- Works offline
New to EmbedIDS? #
EmbedIDS is a lightweight Runtime Intrusion Detection SDK specifically designed for low-power embedded Internet of Things (IoT) devices. Our open-source SDK provides AI-driven protection to address the critical security gap in constrained IoT environments.
Overview #
EmbedIDS provides on-device, AI-driven protection tailored to resource-constrained embedded systems. By deploying compact anomaly-detection agents directly on devices, we enable real-time protection without relying on external connectivity or cloud dependencies.
Product Features #
Open-Source SDK (Apache 2.0 Licensed)
Our free SDK empowers developers to secure embedded devices at no cost, featuring:
- Lightweight on-device intrusion detection system
- Fixed-logic detection models optimized for low-power environments
- Zero licensing fees for developers and deployments
- Apache 2.0 license ensuring maximum flexibility and adoption
- Customizable metric collection for device-specific monitoring
- AI-model training tools for tailored threat detection
Key Features #
On-Device Intelligence
- Real-time anomaly detection without cloud dependency
- Compact ML models optimized for embedded constraints
- Behavioral analysis tailored to device-specific operations
- Low resource footprint suitable for IoT devices
Customizable Security
- Define custom behavioral metrics based on device functionality
- Train specialized ML models using our development tools
- Deploy targeted protection for specific threat vectors
- Adaptive monitoring that evolves with device behavior
Developer-Friendly Design
- Easy integration with existing embedded systems
- Minimal configuration required for basic protection
- Comprehensive documentation and examples
- Active community support for open-source users
Why EmbedIDS? #
The IoT security landscape faces unique challenges:
- Resource constraints limit traditional security solutions
- Connectivity issues make cloud-dependent protection unreliable
- Scale requirements demand cost-effective deployment models
- Diverse hardware needs flexible, adaptable solutions
EmbedIDS addresses these challenges by providing:
- On-device protection that works offline
- Lightweight implementation suitable for constrained devices
- Open-source model enabling rapid adoption and community collaboration
- AI-driven detection for sophisticated threat identification
Getting Started #
Start securing your embedded devices immediately with our open-source SDK:
- Download the SDK from our repository
- Integrate the lightweight SDK into your device
- Configure intrusion detection rules for your use case
- Train custom ML models using our development tools
- Deploy with confidence knowing your devices are protected
Use Cases #
- Industrial IoT sensors monitoring critical infrastructure
- Smart home devices protecting personal networks
- Medical IoT devices ensuring patient safety and privacy
- Automotive embedded systems securing connected vehicles
- Edge computing nodes protecting distributed networks
Community and Support #
EmbedIDS thrives on open-source collaboration and community contribution:
- Active open-source community for developers and researchers
- Community support through forums and documentation
- Regular updates and security patches
- Comprehensive documentation and tutorials for all skill levels
- Contribution guidelines for community developers
Ready to secure your embedded devices? Download our open-source SDK and join the community!