AI Tailgating Detection & Unauthorized Entry Prevention - Cobalt AI
Stop Tailgating Before It Becomes a Security Incident
Cobalt Monitoring Intelligence detects unauthorized access at badge-controlled doors, enforces badge compliance through automated messaging, and gives your team measurable data to reduce tailgating over time.
Tailgating Is a Silent Threat
Most organizations know tailgating happens. Almost none can measure it, enforce against it, or prove it’s improving.
Undetected Unauthorized Access
Badge readers track who badged in — not who walked in behind them. Traditional access control systems have no way to flag when an unauthorized person follows a badged employee through a secured door, leaving gaps in your perimeter that grow with every shift change.
No Accountability, No Behavior Change
When employees allow tailgaters, there are no consequences and no feedback loop. Without enforcement, badge-holding culture erodes over time. Security teams are left writing policies that no one follows because no one knows when they’re being violated.
Zero Visibility Into Scope
Which doors are worst? What time of day? How many per week? Without data, you can’t prioritize resources, justify investment, or measure whether your interventions are working. Tailgating remains an anecdotal problem — impossible to manage.
AI-Powered Tailgating Prevention
From detection to enforcement to measurable behavior change — Cobalt Monitoring Intelligence turns tailgating from an invisible problem into a manageable one.
Real-Time Tailgating Detection
Video analytics at badge-controlled doors detect when multiple people pass through on a single badge event. Each detection is logged with video evidence, timestamp, and door location — giving your team a verified record, not just an access log.
Automated Enforcement Messaging
When a tailgating event is confirmed, Cobalt Monitoring Intelligence can automatically send a notification to the badge holder via text, email, or Slack. This creates an immediate accountability loop without requiring security staff to manually follow up.
Behavioral Change at Scale
Enterprise deployment data shows that organizations sending automated messages to employees who allow tailgaters see an immediate decrease in tailgating incidents. The notification itself becomes the intervention — changing behavior without confrontation.
Trend Analysis & Door-Level Metrics
Every tailgating event feeds into the dashboard, where security leaders can track tailgating rates by door, by day, and over time. Identify your highest-risk access points, measure the impact of enforcement policies, and report results to leadership.
~5,000 tailgaters detected per door per week at peak 90–95% of access events resolved without human escalation Immediate decrease in tailgating after automated messaging 5+ access points monitored simultaneously per site
The Tailgating Handler
Each tailgating event follows a dedicated Handler workflow — from initial detection through automated resolution.
Detect
Video analytics at a badge-controlled door identifies that more than one person passed through on a single badge event.
Reason
The Handler reviews the video clip, confirms the tailgating event, and identifies the badge holder associated with the access event.
Act
An automated notification is sent to the badge holder. If escalation criteria are met, the Handler routes to a security operator for review.
Resolve
The event is logged with video evidence, badge holder details, and outcome — feeding into trend dashboards for ongoing measurement.
Measuring What Was Previously Invisible
Every organization’s tailgating risks are different. Monitoring specific access points enables data-driven adjustments that manual processes can’t achieve.
Tailgating Volume by Door (Weekly)
| Door | Volume |
|---|---|
| Door A | ~5,000/wk |
| Door B | ~3,600/wk |
| Door C | ~2,400/wk |
| Door D | ~1,400/wk |
| Door E | ~300/wk |
Tailgating Trend After Automated Messaging
| Messaging Enabled | Week 1 | Week 4 | Week 8 | Week 12 |
|---|---|---|---|---|
| Immediate decrease in tailgating after automated messaging begins | - | - | - | - |
What Your Security Team Gets Back
Tailgating prevention frees your team to focus on higher-value work — while giving leadership the data to prove your program is working.
From Reactive to Proactive
Instead of discovering tailgating after an incident, your team has continuous visibility into unauthorized access — enabling prevention rather than investigation.
Enforcement Without Confrontation
Automated messaging creates accountability without requiring guards at doorways. Badge compliance improves passively, and your team spends less time on manual follow-ups.
Data for Leadership Reporting
Quantified tailgating trends give security leaders the evidence they need to justify investments, adjust policies, and demonstrate measurable improvement to executive stakeholders.
How It Works
Common Tailgating & Unauthorized Entry Scenarios
Shift Change Surges
High-traffic entry points during shift changes are the most common source of tailgating. Cobalt Monitoring Intelligence monitors these peak windows, identifies repeat patterns, and flags doors with the highest tailgating rates — enabling targeted enforcement where it matters most.
After-Hours Unauthorized Access
A badge event at 2 AM followed by a second person entering is a fundamentally different risk than lunchtime tailgating. Handlers apply contextual rules — after-hours tailgating at a restricted area triggers immediate escalation to a security operator, not just an automated message.
Visitor & Delivery Tailgating
Contractors, visitors, and delivery personnel following employees through badge-controlled doors bypass your visitor management system entirely. Cobalt Monitoring Intelligence detects these events and can trigger specific workflows — visitor desk notification, contractor badge verification, or security dispatch.
Executive & Restricted Area Access
Certain doors require zero-tolerance enforcement — server rooms, executive floors, research labs. Handlers can apply elevated response protocols for these access points, including immediate security operator review and PACS lockdown if warranted.
Works With Your Existing Access Control Infrastructure
Cobalt Monitoring Intelligence layers on top of the systems you already run — no rip-and-replace required.
Access Control
- LenelS2 OnGuard
- Genetec
- C·CURE 9000
- BrivoOne
- Avigilon Alta (Openpath)
Video Management
- BrivoOne
- Milestone XProtect
- Genetec
- RTSP/RTSPS Camera Streams
Ticketing & Communication
- ServiceNow
- Salesforce
- Slack
- Phone / SMS / Email
Frequently Asked Questions
How does Cobalt Monitoring Intelligence detect tailgating?
Cobalt Monitoring Intelligence uses video analytics at badge-controlled doors to identify when more than one person passes through on a single badge event. Each detection is verified with video evidence and logged with the associated badge holder, timestamp, and door location.
Can automated messages really reduce tailgating?
Yes. Enterprise deployment data shows that organizations sending automated notifications to badge holders who allow tailgaters see an immediate decrease in tailgating incidents.
Can Handlers apply different rules to different doors?
Yes. Each access point can have its own escalation criteria. A lobby door during business hours might trigger an automated message, while a server room door after hours triggers immediate escalation to a security operator with PACS lockdown capabilities.