Features
- IoT failures result in loss of life
- IoT devices operate in safety systems with size and power constraints
- IoT economics drive device costs to a minimum, leaving security as an afterthought
- IoT device lifetimes are measured in decades unlike conventional IT systems
- IoT devices operate in environments where the users do not have the knowledge necessary for secure deployment
Deep learning packet inspection for
all loT traffic
- One device monitors 30-XXXX IoT devices
- Uses <15 W of power afterthought
- Sub-millisecond latency/supports 5G
- All packets are analyzed on the device (no cloud)
- Finds anomalous network packets with >90% accuracy in real-time
- Detects zero-day attacks in real-time
- Enables simple visual identification of anomalous packets
USP:
- On-premises 5G-capable intrusion detection device
- Real-time deep packet inspection Real-time anomalous packet detection and alert
- Output readable and visualizable by non-experts.
- Output integrated with IoT network topology.
- An inexpensive device with a small form factor and low power requirement
- Deep packet inspection on every packet!
- Does true Deep Packet Inspection. Looks at the payload and not just the meta-data.
- On Site device, not in the cloud. Hardware based, which creates a zero latency scenario.
- Uses an Ensemble Method, combining Supervised Approach with Unsupervised Clustering Approach
- Can Monitor 1,000’s of IoT devices at once with zero latency.
- Watches traffic coming into and out of the network and also watches inter-network traffic for anomalies.
- Up to 1,000 Rad exposure.
- No processor to slow the devices. It uses FPGA technology to run the system.
- Combines ML/AI so the machine continues to learn and adapt to new potential attacks.