The security industry leverages dozens of AI technologies across surveillance, access control, threat detection, and operational automation. Here’s a breakdown of key AI applications and their functions:

1. Video Surveillance & Analytics Facial Recognition:
Identifies individuals (e.g., Verkada, AnyVision).

Behavioral Analysis: Flags unusual activity (loitering, falls, aggression) using Deep Learning (e.g., Avigilon ACA™, BriefCam).
Object Detection: Classifies vehicles, weapons, or abandoned items (TensorFlow, YOLO models).

License Plate Recognition (LPR): AI-powered ALPR systems (Genetec AutoVu, Plate Recognizer).

Access Control & Authentication Biometric AI: Voice, gait, or palm-print authentication (SAFR, IDEMIA).

Predictive Credentialing: AI assesses access patterns to flag anomalies (AMAG Symmetry, Honeywell Pro-Watch).

 Cybersecurity Integration SIEM with AI: Log analysis for threat detection (Darktrace, IBM QRadar).

Zero-Trust AI: Continuous authentication based on behavior (Tanium, CrowdStrike).

 Autonomous Security Solutions Robotic Guards: AI patrol robots (Cobalt Robotics, Knightscope).

Drones: Autonomous surveillance drones (Sunflower Labs, Percepto). 

Operational & Predictive AI Predictive Maintenance: AI forecasts equipment failures (e.g., Sensormatic).

Workforce Optimization: AI schedules guards based on risk data (TrackTik). 6. Gun Detection & Threat Prevention

Acoustic AI: Identifies gunshots (ShotSpotter).

Weapon Detection: AI scans video feeds for firearms (ZeroEyes, Athena).

By the Numbers: 70%+ of new VMS platforms (e.g., Milestone, Genetec) now include embedded AI analytics. ~50 AI vendors specialize in security-specific machine learning (e.g., Calipsa for false alarm reduction).

Emerging Trends:
Generative AI:
Creating synthetic data to train security models (e.g., NVIDIA Metropolis). Edge AI:
On-device processing (Hikvision DeepinMind, Axis Object Analytics).