Enterprise Intrusion Detection — Alert on Every Unauthorized Entry
Intrusion detection systems monitor facilities for unauthorized entry — using door/window contacts, motion sensors, glass break detectors, and perimeter sensors to detect intrusions and trigger alarms, notifications, and video verification workflows. Modern systems integrate with access control and AI video analytics to reduce false alarms and improve response accuracy.
What RLM Delivers on Intrusion Detection
Traditional intrusion detection — alarm panels monitored by central stations — generates enormous false alarm volumes that desensitize responders and create police fee exposure. Verified alarm systems that combine sensor triggers with video confirmation dramatically reduce false dispatches while improving response to genuine intrusions. RLM advises on intrusion detection architecture, alarm verification design, and the monitoring approach that balances security with operational efficiency.
How We Approach Intrusion Detection
What we look at on Intrusion Detection — the criteria that predict outcomes rather than the ones that demo well.
Intrusion Detection Assessment
We assess your current intrusion detection environment — sensor coverage gaps, false alarm rates by zone, monitoring service quality, and the response workflow gaps that affect detection-to-response time.
Detection Architecture Design
We design the intrusion detection architecture — sensor type selection by zone (PIR motion, door contacts, glass break, perimeter beam), zone definitions, panel architecture, and the tamper protection that prevents bypassing.
Video Verification Integration
We design alarm verification workflows — linking intrusion alarm events to camera video clips for operator review before dispatch — reducing false alarm dispatches while ensuring genuine intrusions receive rapid law enforcement response.
Monitoring & Response Design
We evaluate central monitoring station options and design the internal monitoring workflow — defining response protocols by alarm type, escalation paths, and the communication integration that notifies the right responders for each alarm scenario.
Intrusion Detection Evaluation Criteria
What we look at on Intrusion Detection — the criteria that predict outcomes rather than the ones that demo well.
False Alarm Management
False alarms damage law enforcement relationships and generate fee exposure. Evaluate the false alarm causes in your environment — user error, environmental triggers, equipment failures — and the mitigation measures that reduce false alarm rates to acceptable levels.
Sensor Technology Selection
Passive infrared (PIR), dual-technology (PIR + microwave), and image-based sensors have different false alarm rates and detection performance. Evaluate sensor technology against the environmental conditions of each zone.
Verified Alarm Response
Jurisdictions increasingly require verified alarms (visual or audio confirmation) before law enforcement dispatch. Evaluate video verification capabilities and the alarm response policy implications in your operating jurisdictions.
Power Backup
Intrusion systems must function during power outages — precisely when facility security is most vulnerable. Evaluate battery backup duration and the cellular communicator backup that maintains alarm transmission when primary network communication is disrupted.
Integration with Access Control
Intrusion zones that correlate with access control partitions enable automatic arm/disarm based on the last credentialed exit. Evaluate access control integration quality and the edge cases that require manual arming to prevent false alarms.
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Where This Matters Most
Sector-specific considerations we see repeatedly in iot engagements.
A Sample of the IoT Providers We Evaluate
RLM is vendor neutral. These are among 600+ providers in our evaluation set — inclusion here is not an endorsement, and we are paid by the provider you choose, not by any provider in particular. How that works →
Ready to Get Intrusion Detection Right?
Talk to an RLM advisor who specializes in enterprise IoT deployments. Independent guidance from platform selection through operational deployment.