Top AI-Powered Hospital Security Systems in 2025

Hospital security teams face extraordinary operational challenges. Emergency departments operate 24/7 with public access, while pharmaceutical storage areas contain millions of controlled substances. Staff navigate emotionally charged situations where tensions escalate without warning, all across sprawling campuses with hundreds or thousands of cameras that no human operator could effectively monitor simultaneously.

According to the Bureau of Labor Statistics, the healthcare and social service industries experience the highest rates of injuries caused by workplace violence and are 5 times more likely to suffer a workplace violence injury than workers overall. Traditional reactive security (waiting for incidents to occur, then responding after the fact) no longer meets the duty of care hospitals owe patients and staff.

Artificial intelligence and computer vision technology have fundamentally transformed hospital physical security. Modern AI-powered platforms understand context, distinguishing legitimate clinical activity from genuine security threats while operating at scales impossible for human operators.

Let's examine ten leading AI-powered security platforms deployed in healthcare environments in 2025.

1. Ambient.ai

Ambient.ai delivers the healthcare industry's most comprehensive AI-powered physical security solution, serving multiple Fortune 500 healthcare organizations, major hospital systems, and pharmaceutical manufacturers.

Instead of presenting security operators with walls of live camera feeds requiring constant vigilance, the platform delivers a curated "Pulse" of actionable security intelligence using contextual scene understanding that distinguishes normal hospital activity from genuine security threats automatically.

The platform provides three integrated solutions that cover everything from real-time threat detection to post-incident investigation.

Threat Detection and Response Monitors 24/7

Threat Detection and Response monitors 100% of hospital cameras continuously, analyzing feeds across patient wards, emergency departments, psychiatric units, pharmacies, loading docks, parking structures, and perimeter areas.

With the industry's largest threat signature library containing over 150 detections, the system identifies potential incidents within 15 seconds.

What it detects:

Patient Safety

• Fall detection that distinguishes medical emergencies from other incidents
• Person-in-distress identification
• Medical emergency recognition
• Abnormal evacuation patterns indicating active threats

Violence Prevention

• Physical altercations before they escalate
• Aggressive behavior patterns
• Crowd formations that could become dangerous
• Weapons, including firearms, knives, and improvised weapons

Pharmaceutical Security

• Unauthorized pharmacy access attempts
• Interactions with secured medication cabinets
• Tampering with critical medical equipment

Signals Intelligence Eliminates False Alarm Fatigue

Signals Intelligence solves healthcare security's most persistent challenge: overwhelming false alarm volumes. Traditional PACS systems generate thousands of daily false positives that exhaust security staff.

Ambient.ai's patented correlation technology analyzes badge reader data alongside camera feeds in real-time, automatically dismissing 95% of false alarms while immediately escalating genuine security events like tailgating.

This AI-powered filtering scales to millions in annual operational savings across hundreds of hospital access points.

AI-Powered Forensics Accelerates Investigations

AI-Powered Forensics replaces hours of manual video review with conversational search. Security operators simply ask: "Show me anyone who entered the pharmacy storage room between 10 PM and 2 AM last Tuesday."

The system returns relevant clips within seconds across hundreds of cameras and weeks of footage, accelerating investigations by 20x.

Privacy-by-Design for HIPAA Compliance

The platform excludes facial recognition and biometric profiling entirely. It tracks individuals through behavioral markers, clothing descriptions, and movement patterns without capturing personally identifiable biometric information.

Seamless Integration Without Hardware Replacement

Ambient.ai retrofits onto existing camera systems as a software layer with cloud-managed architecture and on-premises video processing.

The platform integrates with leading security management systems like Genetec Security Center, enabling sophisticated AI analysis across thousands of cameras without expensive infrastructure overhauls.

2. Verkada

Verkada offers cloud-managed cameras in a proprietary ecosystem that eliminates on-premises servers. The platform provides people and vehicle analytics, license plate recognition, and motion-based search with optional face search capabilities. Operating on subscription-based cloud storage, the system delivers remote access from anywhere.

However, Verkada integrates exclusively with its own access control hardware. Organizations must standardize on Verkada equipment across all facilities to use the platform.

3. ZeroEyes

ZeroEyes specializes in gun detection through AI analysis of existing camera feeds. When the platform identifies firearms in video streams, it routes detections through human verification specialists before alerting security personnel and law enforcement. This verification layer helps reduce false positives.

The system works with already-installed cameras but focuses exclusively on weapon identification. Hospitals requiring broader security monitoring—such as patient fall detection, pharmaceutical access control, or perimeter protection—would need additional systems.

4. Spot AI

Spot AI provides cloud-based video intelligence compatible with existing multi-manufacturer camera systems. The platform offers intelligent video search, people and vehicle detection, license plate recognition, and unusual activity alerts based on baseline deviations. Cloud storage eliminates on-premises recording infrastructure entirely.

Analytics dashboards visualize incident trends over time, helping security leaders make resource allocation decisions. The system works across mixed camera environments without requiring hardware standardization.

5. Omnilert

Omnilert combines AI gun detection with emergency notification systems across multiple communication channels including text, email, and mobile apps. The platform integrates with existing cameras and uses human verification to reduce false positives before dispatching alerts. When threats are confirmed, the system can trigger lockdown automation.

Beyond weapon detection, Omnilert provides mass notification infrastructure for various emergency scenarios. This makes it suitable for hospitals needing integrated communication capabilities during active threats or other critical incidents.

6. Actuate

Actuate provides AI analytics that layer onto existing VMS platforms like Milestone, Genetec, and Avigilon. The system adds behavioral analytics, people counting, crowd detection, perimeter breach monitoring, loitering detection, and object removal alerts to already-installed video management systems. Configurable alert rules allow customization based on specific hospital environments.

Organizations with significant VMS investments can add AI capabilities without platform replacement. This approach preserves existing infrastructure while extending functionality through analytics.

7. Axis Communications with ARTPEC

Axis provides cameras with built-in AI processing that analyzes video at the edge rather than sending everything to central servers. The platform performs object classification, perimeter defense, loitering detection, and fence line monitoring with privacy masking capabilities. Integration with AXIS Camera Station and third-party analytics applications extends functionality.

This distributed intelligence architecture reduces network bandwidth requirements significantly. Processing happens within the cameras themselves rather than streaming all footage for centralized analysis.

8. BriefCam

BriefCam offers video synopsis technology that condenses hours of footage into brief summaries showing all activity. The platform provides object classification, tracking across multiple cameras, optional face recognition, appearance-based search, dwell time analysis, path tracking, and heat mapping. Integration works with major VMS platforms.

Beyond security investigations, the system provides operational analytics for facility management. Heat mapping and dwell time analysis can inform decisions about patient flow and space utilization patterns.

9. Agent Vi

Agent Vi provides real-time behavioral analytics powered by deep learning algorithms. The platform offers object detection, unusual activity alerts based on location-specific norms, perimeter protection, crowd detection, people counting, and forensic search capabilities. The system analyzes patterns as they occur rather than only during post-incident review.

Integration with major VMS platforms adds AI analytics without infrastructure replacement. The platform detects unusual patterns that may indicate security concerns specific to hospital environments.

10. Vintra

Vintra offers appearance-based search using clothing and physical attributes rather than biometric identification. The platform provides behavior and activity recognition, people and vehicle tracking across cameras, and path tracing without facial recognition technology. This privacy-conscious approach addresses concerns about biometric data collection.

Integration works with existing VMS systems and most IP cameras. The platform delivers investigation capabilities for both real-time monitoring and forensic analysis while maintaining privacy compliance.

What Hospital Security Systems Must Deliver in 2025

After evaluating these platforms, specific capabilities emerge as non-negotiable for healthcare security pros making platform decisions.

Contextual Intelligence Over Basic Detection

Hospital environments generate constant motion. Basic motion detection creates overwhelming false alarm volumes that render security systems operationally useless.

Effective platforms must distinguish between authorized clinical activity and unauthorized access, recognizing when normal behaviors occur in abnormal locations.

Comprehensive Threat Coverage

Single-purpose solutions that only detect guns or only monitor perimeters leave critical gaps. Healthcare facilities need platforms that simultaneously address patient safety, violence prevention, pharmaceutical security, and access control.

Cobbling together multiple point solutions creates operational complexity and leaves dangerous blind spots.

Privacy-By-Design Architecture

Healthcare security platforms operate in environments governed by strict patient privacy regulations. Systems must deliver security intelligence without creating HIPAA compliance risks through capabilities that track individuals without facial recognition or biometric databases.

Integration Without Infrastructure Overhaul

Few hospitals have budget flexibility for complete surveillance infrastructure replacement. Security platforms must function as software layers that retrofit onto existing camera investments and integrate with established VMS platforms.

The ability to deliver sophisticated AI analysis without expensive hardware replacement determines whether solutions are financially viable.

Operational Efficiency That Multiplies Limited Staff

Hospital security teams operate frequently understaffed. Effective platforms must multiply limited personnel through automation, eliminating false alarms, accelerating investigations, and providing actionable intelligence rather than raw video requiring human interpretation.

The question isn't whether AI can augment human operators, but whether security pros can afford to operate without it.

The Path Forward

The healthcare security landscape has fundamentally changed. Ambient.ai leads this transformation with 150+ threat signatures and capabilities spanning contextual intelligence, comprehensive coverage, privacy compliance, seamless integration, and operational efficiency, all in a unified platform that retrofits onto existing infrastructure.

Waiting for incidents to occur and responding forensically no longer meets the duty of care hospitals owe patients and staff. When these capabilities converge in one solution, hospital security transforms from a reactive cost center to a proactive safety force. The difference between detecting threats in 15 seconds versus minutes later, or eliminating 95% of false alarms in PACS versus drowning in them, determines whether security operations protect lives or document incidents.

For hospital security leaders, the question isn't whether to adopt agentic physical security, but how quickly to implement comprehensive protection that integrates seamlessly with systems already in place.