As your IoT estate grows, so do the risks. Our network-integrated anomaly detection uses AI to monitor every endpoint, spot threats and immediately detect any network irregularities.
AI Anomaly ProtectionSecurity That Learns With Every Connection
When You Can See the Threat, You Can Stop It
Unexpected spikes in data usage. Irregular device activity. No alert until it’s too late.
Regardless of the cause, prompt awareness and action are crucial to keeping your network online and secure. Yet, the average time taken to detect a security breach is 200 days.
AI Anomaly Protection not only flags irregular activity in real time but also uses machine learning to continuously learn from network behaviour to better detect future threats.
It puts you back in control, so you can act decisively and stay ahead of any threat.
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Stay Ahead of Threats, Not Buried in Them
Detect unusual behaviour before it becomes a breach.
Get real-time alerts across every SIM in your network.
Guarantee fewer false alerts with continuous machine learning.
Stop threats at the source with protection built into your network.
Scale securely without adding security headcount.
Improve network uptime and reliability.
Stop Threats Before They Spiral
When you’re running hundreds or millions of connected devices, even a small anomaly can become a system-wide crisis. Without real-time insight into how your devices are behaving, you’re left exposed to fraud, network misuse and compliance risks that grow by the hour.
Enhance your cybersecurity with our ML-powered anomaly detection built directly into your network.
With full visibility and faster response capabilities, you can not only spot threats but also control them to reduce disruption and protect your business from all angles.
- Monitor usage and behaviour across your entire SIM estate
- Flag irregular activity and respond automatically in real-time
- Integrate alerts into your existing systems and workflows
- Meet regulatory standards with built-in compliance support
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Securing Your IoT Devices Across Every Industry
Take Full Control of Threat Detection with AI Anomaly Protection
Built into the network and powered by machine learning, our anomaly protection gives you instant visibility, proactive alerts and round-the-clock security across every connected device.
Further Information
Everything You Need to Know About AI Anomaly Protection for Your IoT Network
Scaling IoT requires more than just connecting devices. It demands seamless deployment, real-time monitoring and airtight security. Here’s what you need to know about preventing failures and keeping every device under control.
- What exactly does AI Anomaly Protection do?
It intelligently detects abnormal activity before it causes costly outages or security breaches, such as rogue networks, unusual data spikes or device misbehaviour.
- How is this different from traditional IoT security tools?
Most tools are reactive, acting after a breach has already happened. AI anomaly protection works proactively in real time, flagging issues before damage is done. It uses machine learning to understand what “normal” looks like across your network, then spots anything outside that baseline, whether it’s a threat, fault, or failure in the making.
- What kind of anomalies can this catch?
Everything from excessive data usage to unauthorised communications, network misroutes, misbehaving SIMs or devices transmitting outside normal patterns.
- What happens when an anomaly is detected?
You get instant alerts, and in some cases, the system can automatically shut down or isolate the affected device to contain the risk.
- What if the anomaly isn’t a hack, but a fault?
The system doesn’t just look for cyberattacks. It also flags any deviation, including device malfunctions or misconfigurations.
- How accurate is it? Will I be flooded with false alarms?
The machine learning capabilities mean that our anomaly protection learns and adapts to each device, reducing false positives and becoming even more accurate over time.
- Does this replace firewalls and encryption?
No, it complements them. Firewalls and encryption protect the perimeter, but anomaly detection protects everything inside, catching what slips through the cracks.
- How fast can a threat be identified?
In real time. That’s a major upgrade from the average 200-day detection delay reported by IBM.