As intrusion detection technology evolves, many integrators and monitoring professionals are asking a fair question:
Can modern, AI-driven intrusion intelligence operate within existing UL and AVS-01 rules—without increasing cost, complexity, or privacy risk?
The answer is yes—and that’s precisely where IntrusionIQ™ fits.
AVS-01 Was Designed to Be Technology-Agnostic
The ANSI/TMA AVS-01 standard does not mandate video, audio, or human review. Instead, it defines alarm validation as:
The presence of additional information that increases confidence an unauthorized human presence is occurring.
AVS-01 explicitly allows validation using:
- Correlated sensor or event data
- Sequential or contextual activity patterns
- Technology-generated intelligence
- Automated analytic determinations
In other words, verification is about confidence—not media transmission. Where IntrusionIQ Fits in the Alarm Ecosystem
IntrusionIQ™ does not replace the central station, and it does not assign AVS scores. It operates upstream, between detection devices and the monitoring center, as a validation intelligence layer.
IntrusionIQ™:
- Applies defined, repeatable analytic logic
- Differentiates human vs non-human activity
- Correlates events across zones, time, and context
- Outputs deterministic, auditable alarm signals
Those outputs become validated data inputs that a UL-listed central station may use when applying AVS-01 scoring.
Why IntrusionIQ™ Qualifies as “Verification” Under AVS-01
AVS-01 clearly distinguishes detection from validation. IntrusionIQ™ performs validation because it:
- Provides information beyond a single alarm event
- Uses documented, non-subjective logic
- Produces consistent and repeatable outcomes
- Increases confidence of unauthorized human presence
AVS-01 permits alarms to be validated through data-only intelligence, without requiring video review or operator observation. IntrusionIQ aligns directly with those provisions.
UL Compliance Remains Fully Intact
UL Solutions certifies central station processes, not sensing technologies.
UL evaluates whether the monitoring center:
- Applies AVS-01 scoring correctly
- Uses validated information consistently
- Maintains operator oversight and documentation
IntrusionIQ becomes simply another permissible upstream data source, similar to advanced sensors or analytic engines. The authority to score and dispatch remains entirely with the UL-listed central station.
Eliminating Costly Video Transmission and Privacy Risk
One of the most practical advantages of AVS-01-aligned, data-verified intrusion intelligence is what it allows organizations to stop paying for.
Traditional “verified alarm” models often require:
- Streaming or storing video off-site
- Paying recurring fees to transmit video to a central station
- Paying third parties for remote video review
- Accepting increased privacy, data retention, and liability exposure
Because AVS-01 allows data-based verification, IntrusionIQ enables a different model:
- No video transmission to the central station
- No off-site video verification fees
- No third-party storage of customer video
- Reduced privacy exposure and regulatory risk
- Lower recurring costs without lowering alarm confidence
The analytics operate at the edge, and only standard alarm signals are transmitted—exactly what UL-listed central stations are designed to receive.
Practical AVS-01 Impact
In real deployments, IntrusionIQ-generated events typically support:
- AVS-2 — Probable unauthorized human presence
- AVS-3 — Confirmed presence with contextual indicators
IntrusionIQ supplies the validated intelligence.
The central station assigns the score.
The Bottom Line
IntrusionIQ fits cleanly within established frameworks because:
- AVS-01 explicitly allows data-only validation
- UL certifies how data is used, not how it’s generated
- Operators and central stations retain full authority
- Video transmission and off-site review become optional—not mandatory
Advanced detection in.
Verified, standard alarm signals out.
No video transmission. No off-site verification. Reduced cost and privacy risk.
That’s not bending the rules—it’s using them exactly as intended.