CityTac · Tactical support for law enforcement
CityTac reads the geospatial data of an area and lets you set the Alpha Zone, map threats and lay out the defense scheme. A built-in MCP server makes all of this accessible to any AI agent.
01What CityTac is
CityTac is tactical-support software designed for law enforcement. It brings the geospatial data of an area (buildings, roads, access points, sensitive sites) into a single view and turns it into a scenario you can plan on.
Operators and AI agents work on the same model: the tool changes, the data does not.
02How it works
Every scenario follows the same path: it starts with knowledge of the area and ends with a plan shared with all units.
03AI integration · MCP
CityTac includes an MCP (Model Context Protocol) server, the open standard AI agents use to connect to tools and data. Any compatible agent can query the area, propose changes and prepare defense schemes, always within the set permissions and with the operator's approval.
get_area_layersReturns the geospatial layers of the selected area.
set_alpha_zoneSets or updates the Alpha Zone and its security rings.
add_threatLogs a threat with location, type and risk level.
list_threatsLists the active threats in the scenario.
propose_defense_schemeGenerates a defense scheme for the operator to review.
export_briefingPrepares a scenario summary for the chain of command.
Prepare a defense scheme for the event in the square. The north entrance is the priority.
Reading the area layers and checking the current Alpha Zone.
get_area_layers → 14 layers · list_threats → 2 active
I found three unmanned access points. I propose a scheme with six posts and a reinforced north entrance.
propose_defense_scheme → awaiting approval
Approved. Share with the units.
04Two interfaces · one model
The operations console and the MCP server work on the same data. What an agent proposes, the operator sees on the map immediately.
Interface A
The tactical map for operators: readable at a glance, editable in a few moves and shared between the operations room and units in the field.
Interface B
AI agents access the same data through the MCP server: they analyze the scenario, flag critical issues and propose schemes. The final decision stays with the operator.
05Platform
Data, scenarios and decisions in a single tool, designed to stay clear even under pressure.
Maps, buildings, roads and networks on a single map.
Perimeters and security rings, editable at any time.
Location, type, risk level and avenues of approach.
Posts and coverage laid out on the ground, ready to compare.
The operations room and field units see the same scenario.
Every version of the scenario remains available.
CityTac's tools exposed to compatible AI agents.
Roles and authorizations for people and agents.
06Defense scheme
Every scenario starts from the Alpha Zone and is built in rings. CityTac makes them visible, editable and shareable.
The priority area to protect: the core around which the whole scheme is organized.
The containment ring that separates the Alpha Zone from the outside.
Entrances and passages to control, man or close.
Vantage points from which to monitor the area.
The routes along which a threat can approach.
Exit routes and evacuation corridors to keep clear.
07Use cases
From planning a major event to managing an emergency: one method, many contexts.
Concerts, sporting events and ceremonies: crowd flows, access points and posts planned in advance.
Marches and demonstrations: perimeters, axes and units coordinated on a single picture.
Stations, ports and plants: continuous protection of sensitive sites.
Fast-changing scenarios: the picture updates along with the situation.
08Principles
Artificial intelligence proposes. The operator decides.
One clear picture is worth more than a thousand scattered data points.
People and agents must work from the same facts.
09Security and governance
CityTac is designed for contexts where confidentiality and accountability are non-negotiable.
Every person and every agent sees and edits only what they are authorized to.
Every action, human or automated, is logged and auditable.
AI agent proposals become operational only after an operator confirms them.
Agent integration runs on MCP, an open standard not tied to any single vendor.
10Frequently asked questions
CityTac is tactical-support software for law enforcement. It reads the geospatial data of an area, lets you set the Alpha Zone, map threats and lay out a defense scheme, and makes all of this accessible to AI agents through a built-in MCP server.
The Alpha Zone is the priority area to protect in an operational scenario. Around the Alpha Zone, CityTac organizes the perimeter, access points, observation points, threat axes and egress routes.
MCP (Model Context Protocol) is an open standard that lets AI agents connect to external tools and data. Thanks to the built-in MCP server, any compatible agent can read the CityTac scenario, propose changes and prepare defense schemes.
No. In CityTac, AI agents make proposals: each proposal becomes operational only after an operator approves it, and every action remains logged and verifiable.
CityTac is designed for law enforcement agencies and public bodies that plan security for major events, demonstrations, critical infrastructure and emergency situations.
By requesting a demo: we run a demonstration on a realistic scenario, with the operations console and an AI agent connected via MCP.
Request a demo
We run a demonstration on a realistic scenario, with the operations console and an AI agent connected via MCP.