Brivo unveils Eeva AI agent for smarter video security

Brivo has launched Eeva, an AI video agent that lets security and operations teams configure camera-based detection by describing what they want to detect in plain English.

Eeva is built into the Brivo Eagle Eye video management system and works across existing camera estates. It runs on standard security cameras and does not require new hardware, according to Brivo.

Operators enter a prompt describing an event, such as a worker without a safety vest. Eeva monitors video feeds for that event and sends notifications when it detects it. Through integration with Brivo Security Suite, it can also trigger automated actions.

Brivo positions Eeva as a way to speed the rollout of video analytics across large estates, with configurations deployable across thousands of cameras in minutes.

Brivo also says the system can understand context and spatial relationships. It describes the underlying approach as a vision-language model, a type of AI that links visual information with natural-language concepts.

Video and Access

Eeva is part of Brivo's broader platform for physical security and site operations. Brivo Security Suite combines access control, video intelligence, visitor management and intrusion monitoring. Brivo reports more than 2 million devices deployed across more than 100,000 locations in 80 countries.

Brivo recently merged with Eagle Eye Networks, which develops the Eagle Eye Cloud VMS. It now markets Brivo Eagle Eye VMS as the video management layer within its portfolio.

Eeva's "camera agnostic" positioning reflects a broader trend in the security industry. Many buyers want analytics that run across mixed estates of cameras and recorders without specialist hardware. This matters more as organisations extend video monitoring beyond security into health and safety, facilities management and loss prevention.

Use Cases

Brivo lists property management, manufacturing, restaurants, fuel stations and EV charging locations as early sectors using Eeva.

In property management, the product is pitched as a way to detect illegal dumping around bin areas. In manufacturing, it targets personal protective equipment compliance, such as identifying workers who are not wearing safety vests.

In restaurants, Brivo says the system can check whether employees are wearing protective gloves during food handling. At petrol forecourts and EV charging hubs, the focus shifts to theft and suspicious activity, including the removal of charging cables.

EV Cable Theft

One deployment Brivo highlights addresses cable theft at EV charging stations, a growing operational issue for charge point operators. Stolen or damaged cables can cause downtime and lost revenue and create safety issues on-site.

Brivo says that Kings Secure Technologies, a security integration firm based in West Yorkshire, used Eeva to create and deploy detection rules for charging-cable theft across EV sites.

"Eeva's AI can distinguish when a person or vehicle is present at the EV station from when a person is attempting to remove the cable from the protected zone. This is far more sophisticated, reliable, and easier to manage than traditional analytics," said Lee Kerry, Head of Technical Services, Kings Secure Technologies.

Illegal Dumping

Another case study focuses on illegal dumping at a residential complex in Lørenskog, Norway. Brivo says Enter Security used Eeva at the Lørenskog Hageby residential building complex.

"Eeva successfully identifies instances where trash is dumped outside of the bins while correctly filtering out people who approach the trash bins and properly dispose of their waste. Furthermore, Eeva correctly distinguishes various types of disposable trash from existing environmental features like rocks or landscaping," said Edward-Oliver Olafsen, Chief Operations Officer, Enter Security.

Product Direction

Eeva reflects a broader push by physical security vendors to simplify video analytics configuration. Natural-language prompting has become a common interface pattern in enterprise software, and security suppliers are adapting it to camera systems that have historically relied on specialised setup and careful tuning.

Brivo CEO Dean Drako said the product is designed to be simple to operate and to work across existing camera fleets.

"Eeva is like an ideal employee working 24/7 all year round-someone who's reliable, diligent, takes action independently and is always on the job," said Dean Drako, CEO, Brivo.

Brivo says it will show Eeva alongside other AI-based products at the ISC West trade event in Las Vegas.