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.
How It Works
Each tailgating event follows a dedicated Handler workflow — from initial detection through automated resolution.
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.
Based on deployment data from an enterprise technology and mobility company monitoring 5 badge-controlled access points.
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.
See It in Action
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. Security leaders use this data to adjust staffing, modify door access policies, or deploy signage at the doors that consistently generate the most unauthorized entries.
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. Time-of-day context ensures your enforcement is proportional to the actual risk, and your security operators only handle events that warrant their attention.
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. This closes a gap that traditional access control cannot address on its own.
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. Door-level policy configuration means your highest-risk entry points receive the strictest enforcement, while lower-risk doors follow standard automated messaging workflows.
Works With Your Existing Access Control Infrastructure
Cobalt Monitoring Intelligence layers on top of the systems you already run — no rip-and-replace required.
What Security Leaders Are Telling Us
Frequently Asked Questions
What is AI-powered tailgating detection?
AI-powered tailgating detection uses video analytics at badge-controlled doors to identify unauthorized access events where a person follows a badged employee through a secured entry point. Unlike traditional access control systems that only log badge events, AI tailgating detection verifies the number of people passing through each door using camera feeds, creating a complete record of authorized and unauthorized access. Cobalt Monitoring Intelligence deploys dedicated Handlers for tailgating events that reason through each detection, correlate badge data with video evidence, and take action autonomously or escalate to a security operator when warranted.
How does automated messaging reduce tailgating?
Automated enforcement messaging sends real-time notifications to badge holders when they allow a tailgater through a badge-controlled door. This creates an immediate feedback loop where the badge holder is made aware of the policy violation within seconds. Enterprise deployments have shown that this single intervention leads to measurable decreases in tailgating frequency, as employees modify their behavior once they know it is being monitored and attributed. Cobalt Monitoring Intelligence sends these notifications via SMS, email, or Slack, configurable per site and per door.
What tailgating metrics should security teams track?
Key tailgating metrics include tailgating rate by door (events per day or week), tailgating trends over time to measure improvement, peak tailgating windows such as shift changes and lunch hours, repeat offender doors, and the ratio of automated resolutions to escalated events. Cobalt Monitoring Intelligence's dashboard and Investigator tool provide all of these metrics with drill-down filtering by site, door, date range, and outcome. Security leaders use this data to justify investments, adjust enforcement policies, and report measurable results to executive stakeholders.
How does Cobalt Monitoring Intelligence integrate with access control systems for tailgating detection?
Cobalt Monitoring Intelligence integrates with access control platforms including LenelS2 OnGuard, BrivoOne, Genetec, C·CURE 9000, Avigilon, Avigilon Alta (Openpath), S2 NetBox, and Acre Feenics to correlate video-based tailgating detections with badge event data. When a tailgating event is detected by video analytics, the Handler cross-references the badge event to identify the associated badge holder. This integration enables automated enforcement messaging, badge holder attribution, and event logging with full context. The platform layers on top of existing Physical Access Control Systems (PACS) and Video Management Systems (VMS) without requiring replacement of any existing infrastructure.
What is the difference between tailgating and piggybacking in physical security?
Tailgating occurs when an unauthorized person follows closely behind an authorized badge holder through a secured door, often without the badge holder's knowledge. Piggybacking is similar but involves the badge holder knowingly allowing another person to enter. Both create unauthorized access events that traditional access control systems cannot detect because the badge reader only records the credentialed swipe. Cobalt Monitoring Intelligence detects both tailgating and piggybacking using video analytics, regardless of whether the badge holder was aware of the following person.
Ready to Measure and Reduce Tailgating?
See how Cobalt Monitoring Intelligence detects unauthorized access, enforces badge compliance, and gives your team the data to prove it’s working.
