01
Too Many Alerts
Security teams may receive large numbers of alerts requiring manual review.
Early-stage concept — system under development
Investigate IoT Security Alerts Faster and Sustainable
VerdiGuard AI is a proposed explainable cybersecurity monitoring solution designed to help IoT and smart-building teams prioritize alerts, understand why they were generated, and reduce unnecessary investigation effort.
Explainable alerts
IoT visibility
Lower investigation effort
The problem
Security Teams Are Overwhelmed by Noisy Alerts
02
Slow Investigation
Analysts spend time determining which alerts represent genuine incidents.
03
Limited Explanation
Existing tools may flag suspicious activity without clearly explaining the evidence.
04
Resource-Intensive Monitoring
Continuous monitoring and unnecessary processing may increase operational and energy costs.
Concept storyboard
A Conceptual Investigation Workflow
Alert overload
An IoT security analyst receives many alerts from connected devices.
Manual investigation
The analyst reviews logs and identifies false or low-value alerts.
Prioritize and explain
The proposed system highlights important alerts and provides understandable evidence.
Faster response
The analyst focuses on the real incident and reduces unnecessary investigation effort.
Conceptual workflow for validation purposes. The complete system has not yet been developed.
Proposed value
What VerdiGuard AI Aims to Provide
Earlier identification
Surface important incidents more quickly.
Fewer noisy alerts
Reduce attention spent on low-value events.
Reduced investigation effort
Support more focused analyst workflows.
Explainable prioritization
Show why an alert deserves attention.
Better IoT visibility
Present connected-device activity more clearly.
Lower monitoring overhead
Explore reduced unnecessary processing and energy use.
These benefits are hypotheses being tested with potential users and pilot organizations.
Pretotype dashboard
Illustrative Cybersecurity Dashboard
Active alerts24
High priority3
Need investigation7
Analyst time savedIllustrativeestimate
Monitoring-energy reductionIllustrativeestimate
Selected alert explanation
Unusual outbound IoT traffic
A connected device communicated with an unfamiliar external destination outside its normal activity pattern.
Suggested action
Investigate the device and destination.
Illustrative dashboard — not a functioning monitoring system.
Sustainability hypothesis
Security Performance with Lower Environmental Impact
VerdiGuard AI is designed to explore whether IoT cybersecurity monitoring can reduce unnecessary processing, energy consumption, and associated carbon emissions without weakening detection effectiveness.
Reduce unnecessary computation
Explore more selective processing and alert review.
Track energy indicators
Make monitoring-related energy use more visible.
Protect security effectiveness
Keep cybersecurity performance as the primary requirement.
Sustainability is being evaluated as a potential differentiator, not as a substitute for security performance.
Preference test
What Matters Most to Your Organization?
Select up to three priorities.
Flash pilot offer
We Are Selecting Three Early Pilot Organizations
We are looking for IoT and smart-building organizations interested in evaluating an early cybersecurity monitoring concept focused on faster, more explainable, and potentially more energy-efficient alert investigation.
- Review the proposed workflow
- Provide feedback on alert prioritization
- Discuss current investigation challenges
- Evaluate the dashboard concept
- Explore participation in a future pilot
No purchase commitment is required.
Pilot interest
Request an Early Pilot
Share your professional details to review the concept, discuss your current workflow, or explore a future pilot.
Concept validation only
This form does not represent a purchase commitment or a claim that the complete system is available.
Is Alert Investigation Consuming Too Much of Your Team’s Time?
Help shape an explainable cybersecurity monitoring concept designed around the realities of IoT and smart-building environments.
Request an Early Pilot