Catch of the Year 2025

The Catch Of All Catches

Our AI monitoring prevented break-ins, caught hazards & stopped unauthorized access in real-time across 2025. Real security isn't just recording, it's preventing. Here's to going higher in 2026.

#CatchOfTheWeek

Hakimo automates security monitoring, empowering organizations to quickly identify real threats and take action.

Suspect Arrested After Vehicle Break-In Attempt

An individual was observed suspiciously loitering on the property and was later seen opening the door of a vehicle on site. The situation was escalated immediately, and two police officers arrived shortly thereafter. The officers located the individual inside the vehicle, made contact, and placed him under arrest. The swift response helped prevent further escalation, and the property was secured successfully.

Black X or close icon on a white background.

An individual was observed suspiciously loitering on the property and was later seen opening the door of a vehicle on site. The situation was escalated immediately, and two police officers arrived shortly thereafter. The officers located the individual inside the vehicle, made contact, and placed him under arrest. The swift response helped prevent further escalation, and the property was secured successfully.

Attempted Break-In Stopped in Real Time

Every week, AI Operator catches something that could have gone very differently. This week, a couple attempted to force entry into a secured property after hours, using a screwdriver to pry open a door. The incident was flagged in real time, and the operator called the police on time. Both individuals were detained and charged, leading to no breaches or damages Here is what that intervention prevented:Force entry into a propertyPolice reports, insurance claims, or days of repairsResidents who no longer feel safeOwnership asking why nobody was watching when the cameras were installedMost cameras record what happened. Hakimo stops it from happening. That is the difference between reactive security and proactive monitoring, and it shows up in outcomes like this every single week.

Black X or close icon on a white background.

Every week, AI Operator catches something that could have gone very differently. This week, a couple attempted to force entry into a secured property after hours, using a screwdriver to pry open a door. The incident was flagged in real time, and the operator called the police on time. Both individuals were detained and charged, leading to no breaches or damages Here is what that intervention prevented:Force entry into a propertyPolice reports, insurance claims, or days of repairsResidents who no longer feel safeOwnership asking why nobody was watching when the cameras were installedMost cameras record what happened. Hakimo stops it from happening. That is the difference between reactive security and proactive monitoring, and it shows up in outcomes like this every single week.

Suspicious Loitering Activity Resolved

An individual wearing a hoodie was observed loitering near the trash cans late at night for an extended period. The prolonged presence and suspicious behavior in the area raised concerns about potential unauthorized activity on the property. Security was immediately contacted and informed of the situation. A dispatched officer arrived on site, made contact with the individual, and escorted him off the premises without further incident. The property was then secured, and normal activity resumed.

Black X or close icon on a white background.

An individual wearing a hoodie was observed loitering near the trash cans late at night for an extended period. The prolonged presence and suspicious behavior in the area raised concerns about potential unauthorized activity on the property. Security was immediately contacted and informed of the situation. A dispatched officer arrived on site, made contact with the individual, and escorted him off the premises without further incident. The property was then secured, and normal activity resumed.

After-Hours Loitering Incident Resolved

At approximately 4:00 AM, an individual appearing to be homeless and possibly intoxicated was observed loitering on the property during after-hours operations. The activity was identified in real time and escalated to a security professional for response. The individual was addressed promptly, and the property was successfully secured, helping ensure the safety of the premises and preventing further disruption.

Black X or close icon on a white background.

At approximately 4:00 AM, an individual appearing to be homeless and possibly intoxicated was observed loitering on the property during after-hours operations. The activity was identified in real time and escalated to a security professional for response. The individual was addressed promptly, and the property was successfully secured, helping ensure the safety of the premises and preventing further disruption.

After Hours Intrusion Prevented at Dealership

An individual appearing to be homeless and visibly a bit intoxicated was observed loitering on a dealership property after hours. The person was seen meddling with gates, moving around parked vehicles, and attempting to open multiple doors across the premises. The activity was identified in real time, enabling a swift response from our team. Security was immediately contacted, and a dispatch was initiated. Upon arrival, security personnel engaged with the individual and safely escorted them off the property. The dealership was secured, preventing a potential break in or damage to vehicles. This is what proactive, AI driven monitoring looks like detecting threats early and enabling faster response when it matters most.

Black X or close icon on a white background.

An individual appearing to be homeless and visibly a bit intoxicated was observed loitering on a dealership property after hours. The person was seen meddling with gates, moving around parked vehicles, and attempting to open multiple doors across the premises. The activity was identified in real time, enabling a swift response from our team. Security was immediately contacted, and a dispatch was initiated. Upon arrival, security personnel engaged with the individual and safely escorted them off the property. The dealership was secured, preventing a potential break in or damage to vehicles. This is what proactive, AI driven monitoring looks like detecting threats early and enabling faster response when it matters most.

Real-Time Detection Stops Mailroom Incident.

An individual was observed inside a mailroom attempting to access a secured door. The activity was identified in real time, enabling immediate escalation.Law enforcement arrived shortly after, made contact with the individual, and safely escorted them off the premises, successfully clearing the area.Incidents like these highlight that security threats don’t announce themselves. They happen quietly, and they escalate quickly.Early detection and coordinated response made the difference here, preventing a potential breach before it could unfold.

Black X or close icon on a white background.

An individual was observed inside a mailroom attempting to access a secured door. The activity was identified in real time, enabling immediate escalation.Law enforcement arrived shortly after, made contact with the individual, and safely escorted them off the premises, successfully clearing the area.Incidents like these highlight that security threats don’t announce themselves. They happen quietly, and they escalate quickly.Early detection and coordinated response made the difference here, preventing a potential breach before it could unfold.