Kansas City, Mo. — Secure Passage today announced the availability of 24×7 Managed Operational Intelligence Services powered by Truman, the company’s Identity-Driven Operational Control Plane for the physical world.

Delivered from Secure Passage’s purpose-built, 20,000-square-foot Mission Operations Center in Kansas City, the new service provides organizations with continuous monitoring, investigation, and coordinated response across physical security, critical operational technology, autonomous systems, and distributed facilities.

Secure Passage’s experienced operators use Truman to correlate information from existing cameras, access control systems, visitor management platforms, alarms, sensors, building-management systems, operational technology, robots, drones, and other connected technologies.

Rather than simply watching alarms or adding another dashboard, Secure Passage continuously evaluates what is happening, who or what is involved, whether the activity is expected, what operational impact it may have, and what action should be taken.

Most organizations already have more technology and data than their teams can effectively monitor. What they lack is the ability to bring that information together, understand it in context, and act on it quickly. Our 24×7 Managed Operational Intelligence Services combine Truman’s intelligence with experienced human operators so our customers always have someone—and something—watching, understanding, and responding.

From Monitoring Events to Understanding Operations

Traditional monitoring services typically react to individual alarms generated by disconnected systems. Truman creates a unified operational context by correlating identities, locations, devices, behaviors, system conditions, events, and historical activity in real time.

Secure Passage’s Mission Operations Center uses that context to:

• Continuously monitor physical security and operational activity
• Correlate events across cameras, access control, alarms, sensors, identity, network, and business systems
• Verify incidents and reduce unnecessary alerts
• Identify unusual behavior, policy violations, and emerging risks
• Conduct AI-assisted investigations
• Monitor critical operational technology and infrastructure
• Coordinate notifications, escalations, dispatch, and response procedures
• Manage and supervise autonomous robot and drone fleets
• Provide specialized drone standby, pilot, and counter-drone intelligence services
• Deliver actionable reporting and documented incident histories

The service can support a single facility or a distributed enterprise, including data centers, critical infrastructure, commercial real estate, manufacturing, public venues, residential communities, and government environments.

24×7 Critical OT and Infrastructure Monitoring

Secure Passage extends managed operational intelligence beyond traditional physical security by monitoring critical operational technology and infrastructure signals.

Truman can ingest and correlate alerts from building-management systems, HVAC and cooling systems, generators, uninterruptible power supplies, electrical systems, environmental sensors, fire and life-safety systems, networking infrastructure, and other mission-critical equipment.

When a critical condition is detected, Truman provides operators with the surrounding context needed to understand the potential operational impact. Secure Passage personnel can then validate the event, initiate the appropriate workflow, notify designated personnel, escalate the incident, and document the response.

This gives organizations continuous awareness across both their security and operational environments without requiring separate monitoring teams for every system.

Managed Autonomous Fleet Operations

Secure Passage’s managed service also provides centralized supervision and coordination of autonomous ground robots and aerial drones.

Through Truman, Mission Operations Center personnel can manage patrol schedules, monitor fleet availability and system health, review live video and telemetry, investigate alarms, authorize dispatches, and coordinate autonomous assets with onsite security personnel and emergency responders.

Robots and drones can be deployed under predefined policies and customer-approved playbooks for routine patrols, alarm verification, restricted-area investigation, perimeter inspection, and elevated-threat response. Truman maintains a record of autonomous activity, operator decisions, telemetry, and resulting actions.

Autonomous systems should not operate as disconnected devices. They need to be part of the same operational control plane as cameras, access control, identity, sensors, and human response. Truman allows us to manage the entire fleet as a coordinated extension of the customer’s security and operations team.

Drone Standby and Counter-Drone Intelligence

For customers with elevated security, aviation, or critical-infrastructure requirements, Secure Passage can provide separately scoped drone standby, remote or onsite pilot support, and counter-drone intelligence services.

These specialized services may include authorized drone deployment, aerial alarm verification, scheduled or event-based overwatch, airspace awareness, detection and correlation of potential unauthorized drone activity, and coordinated notification and response.

Counter-drone intelligence is incorporated into the broader Truman operational picture, allowing aerial activity to be correlated with people, vehicles, access events, physical locations, and other security or operational signals.

All drone and counter-drone services are provided subject to applicable laws, aviation requirements, customer policies, site conditions, and specifically agreed operating procedures.

Human-Led AI, Operating 24×7

Secure Passage’s approach combines the speed and scale of artificial intelligence with human judgment and accountability. Truman continuously processes operational signals, identifies activity requiring attention, and recommends appropriate actions. Trained Secure Passage personnel validate events, investigate context, authorize actions, and coordinate the response.

This model allows organizations to gain around-the-clock operational awareness without building and staffing their own Mission Operations Center.

AI should make people more effective, not remove accountability from critical decisions. Truman does the staring, correlation, and analysis. Our operators provide judgment, oversight, and coordination. Together, they deliver a level of operational awareness that disconnected technology and traditional alarm monitoring cannot provide.

Works With Existing Technology

Truman is designed as a vendor-neutral control plane that works across an organization’s existing technology investments. Customers are not required to replace their current cameras, access control systems, alarms, sensors, building systems, robots, drones, or operational technology.

Truman connects those systems through a common operational data layer, allowing Secure Passage to manage activity across multiple technologies, vendors, assets, and locations as one coordinated environment.

The platform can be deployed in a Secure Passage-managed cloud environment, a customer-controlled cloud, a hybrid architecture, or fully on-premises for organizations with strict privacy, security, operational, or regulatory requirements.

A New Managed Service Model for the Physical World

Secure Passage’s 24×7 Managed Operational Intelligence Services can complement an existing security or operations center, extend coverage after hours, or provide a complete managed capability.

The offering ranges from continuous monitoring and escalation to fully managed operations incorporating physical security, critical OT monitoring, AI-assisted investigations, autonomous fleet management, automated workflows, drone operations, and coordinated incident response.

Organizations do not need another screen for someone to watch. They need an operational partner that can continuously understand their environment and help them act. That is exactly what Secure Passage and Truman provide.

About Secure Passage

Secure Passage is a Kansas City-based technology company focused on bringing operational intelligence to the physical world. Its Truman platform is an Identity-Driven Operational Control Plane that connects physical security, identity, building, infrastructure, operational technology, sensor, robotic, and autonomous systems into a unified intelligence and action layer.

Truman helps organizations understand what is happening across their environments, correlate activity around identity and context, investigate events using artificial intelligence, and coordinate human and autonomous response—all without requiring customers to replace their existing technology.

Media Contact

Kelly Cerny, Secure Passage, Kansas City, Missouri

• kelly.cerny@securepassage.ai
• (877) 442-4553
• www.securepassage.ai

As the Truman Operational Control Plane scales to ingest high-velocity physical security telemetry from disparate edge ecosystems, legacy data architectures create unsustainable latency, index bloat, and AI context starvation.

This educational brief outlines a foundational paradigm shift to Semantic Entity Chunking. By decentralizing rigid data schemas into universally tagged atomic units (chunks), the Truman platform eliminates database sprawl, drastically reduces AI token overhead, and unlocks a certified virtual security practitioner experience with zero hallucination.

The Challenge: Legacy Schema Brittleness

The Truman platform ingests telemetry from diverse devices, including access control systems, facial recognition nodes, and environmental sensors. Processing this data through traditional relational tables creates three critical failure points at enterprise scale:

• Table sprawl and join latency. Constructing a unified timeline requires heavy database joins across isolated tables (for example, camera events and door logs), which degrades latency from milliseconds to minutes at massive scale.
• Schema-on-write brittleness. When edge device vendors update their payload schemas without notice, rigid ingestion parsers fail, halting the pipeline and forcing engineers to provision new tables.
• AI context starvation and hallucination. Passing massive raw payloads to large language models consumes thousands of tokens and overwhelms the AI’s memory, leading to hallucinations when asked to calculate precise operational metrics.

The Solution: Semantic Entity Chunking

To enable real-time situational awareness and autonomous device control, the Truman Operational Control Plane transitions from an inflexible schema-on-write model to an agile schema-on-read architecture using a three-tier lifecycle.

Phase 1: The immutable vault (raw data)

Incoming telemetry is no longer forced into wide database tables. A cryptographic hash of the raw string is calculated and saved in a master vault database to guarantee absolute forensic integrity for compliance.

Phase 2: Semantic chunk extraction and in-flight enrichment

A lightweight extractor isolates only high-value operational nodes (for example, badge ID and door status) and saves them as independent, atomic chunks. An in-memory topology database intercepts these chunks to inject physical spatial context (floor, zone) directly into the chunk’s tags before storage.

Phase 3: The AI situational transcriber

A sliding time window clusters the chunks by entity and zone. This dense, noise-free cluster is processed by an edge-deployed small language model to generate a concise, human-readable situational narrative for the audit log.

Performance and System Viability

Restructuring the data path yields dramatic improvements across ingestion, search, and storage.

Query latency

By utilizing advanced document-style indexes instead of multi-table joins, queries remain flat and exceptionally fast, even when scanning hundreds of millions of records.

AI token efficiency

Feeding a language model a dense semantic chunk costs a fraction of the tokens compared to raw payloads, resulting in a near-complete elimination of AI orchestration costs per event.

{
  "event_time": "2026-08-27T17:01:58Z",
  "device": "door-04",
  "vendor": "Example Access",
  "firmware": "4.2.1",
  "payload": {
    "auth_type": "badge_swipe",
    "credential_id": "badge-9982",
    "relay_status": "open",
    "voltage_mv": 12050,
    "network_latency_ms": 14,
    "temperature_c": 22.4,
    "signal_dbm": -67
  }
}

{
  "id": "01",
  "timestamp": "2026-08-27T17:01:58Z",
  "device": "door-04",
  "vendor": "Example Access",
  "credential_id": "badge-9982",
  "face_id": null,
  "plate": null,
  "temperature_c": null
}

[
  {
    "entity": "badge",
    "value": "badge-9982",
    "tags": { "zone": "employee_entrance", "device": "door-04" }
  },
  {
    "entity": "door",
    "value": "unlocked",
    "tags": { "zone": "employee_entrance", "device": "door-04" }
  }
]

Storage lifecycle optimization

After a brief active period, heavy raw vault logs are offloaded to cold storage archives, while the lightweight chunks remain in the hot database for a full year, keeping active storage costs heavily minimized.

The AI Practitioner: Talking to Truman

A flagship capability of the Truman Operational Control Plane is enabling operators to converse with the system as if speaking to a certified physical security practitioner. The architecture supports this through a dual deterministic-generative pipeline.

Deterministic counting

When an operator asks an aggregation question (for example, “How many people have entered the executive suite?”), the Truman AI router translates the query into a high-speed database index scan. The database executes the exact math, ensuring the AI reports a certified, hallucination-free number.

Entity journey reconstruction

If an investigator asks for a spatial trajectory, Truman instantly pulls the tagged location chunks for that specific entity across all cameras and doors, synthesizing a minute-by-minute timeline without joining separate tables.

Conversational state chunking

To prevent conversational amnesia and context saturation, Truman summarizes ongoing investigations into memory chunks, capturing targets, locations, and time windows. When operators return days later, the system instantly recalls these tagged memory anchors to provide updated, persistent situational context.

Through Semantic Entity Chunking and language-model reporting, the Truman Operational Control Plane transforms from a passive repository into an intelligent orchestration engine, delivering authoritative, fully data-accurate, and hallucination-free security intelligence.

The physical world is becoming intelligent.

Buildings are filled with sensors. Cameras can recognize objects and behavior. Access-control systems track movement. Robots patrol facilities. Drones inspect infrastructure. Operational technology continuously reports the condition of critical systems.

Every environment is producing more data than ever before.

Yet most organizations still operate these systems independently.

A badge swipe lives in one platform. Video lives in another. Identity is managed somewhere else. Building systems, environmental sensors, vehicles, robots, and drones each generate their own alerts—without understanding what the others already know.

The problem is no longer a lack of information.

The problem is that the information does not share context.

More Systems. More Signals. More Noise.

For decades, physical security evolved by adding another tool to address each new requirement.

Organizations deployed cameras, access control, visitor management, license-plate recognition, intrusion detection, environmental monitoring, identity platforms, command-center software, and countless specialized systems.

Each investment solved an important problem. But together, they created a fragmented operating environment.

An operator may see a door alarm without knowing who entered. A camera may detect movement without understanding whether it is expected. A terminated employee’s credential may still be active. A vehicle, device, robot, or drone may enter a restricted area without being connected to the identity responsible for it.

The signals exist. The systems simply do not understand one another.

That forces people to perform the correlation manually—watching screens, checking separate applications, and trying to assemble a complete story while an event is already unfolding.

Visibility alone is no longer enough.

Organizations need understanding.

Identity Changes Everything

Most physical-security platforms organize the world around devices, alarms, or locations.

Truman starts with identity.

That includes human identities, but it does not stop there. Truman establishes identity across people, credentials, devices, vehicles, systems, robots, drones, and other autonomous machines operating in the environment.

It continuously connects those identities to activity, location, behavior, and policy.

A badge swipe is no longer just a transaction. It becomes part of an identity’s operational history.

A camera detection is no longer an isolated event. It can be connected to access activity, vehicle movement, employment status, location, time, and policy.

A robot or drone is no longer simply a device. It becomes a governed participant in the environment—with an identity, permissions, location, mission, and chain of accountability.

Identity turns activity into context.

Context turns alerts into understanding.

Understanding makes coordinated action possible.

The Physical AI Operating System

Truman is the identity-first Physical AI Operating System.

It connects humans, non-humans, places, systems, and autonomous machines into one intelligent operational fabric.

Truman works above the existing technology environment as a vendor-neutral control plane. It does not require organizations to abandon the investments they have already made.

It connects access control, cameras, identity providers, HR systems, visitor management, license-plate recognition, building systems, environmental sensors, operational technology, robots, drones, and other sources of physical-world intelligence.

Truman then applies identity, context, AI, and policy across those systems in real time.

It allows organizations to:

• See activity across the entire physical environment
• Understand the identities and circumstances behind each event
• Identify anomalies that individual systems cannot recognize
• Decide what matters based on policy, risk, and operational context
• Act by coordinating people, workflows, security systems, robots, and drones

This is more than unified monitoring.

It is an operating layer for the physical world.

Physical AI Requires a Control Plane

Physical AI is moving quickly from experimentation into real-world operations.

Autonomous robots are patrolling facilities. Drones are verifying alarms and inspecting critical infrastructure. Intelligent machines are beginning to operate alongside employees, contractors, visitors, and security personnel.

This changes the security model.

When machines can observe, decide, move, and act in the physical world, organizations need more than device management. They need a way to establish identity, enforce policy, share context, coordinate missions, and preserve human oversight.

Without a common operating layer, autonomous systems risk becoming another collection of disconnected tools.

Truman provides that layer.

It gives human teams and autonomous machines a shared operational context. It defines who—or what—is present, where they are, what they are permitted to do, and how the environment should respond.

That is how Physical AI moves from isolated automation to governed operations.

Why Now?

Three major forces are converging.

First, the physical world is producing unprecedented amounts of operational data.

Second, artificial intelligence can now correlate that data, identify meaningful patterns, and present operators with actionable context in real time.

Third, autonomous machines are moving from controlled pilots into active operational environments.

Organizations cannot manage this new reality by adding more screens, more alerts, and more disconnected systems.

They need an intelligent layer that connects what they already have and prepares them for what is coming next.

The organizations that establish this operating layer now will be positioned to deploy Physical AI safely, scale autonomous operations, reduce dependence on manual monitoring, and respond faster with greater confidence.

Those that do not will face more complexity, more noise, and more operational risk.

Let Truman Do the Staring

AI should not simply generate more alerts for people to watch.

It should understand the environment, connect the relevant signals, isolate what matters, and help coordinate the right response.

Truman continuously processes activity across the physical world so operators do not have to watch every feed or investigate every isolated event.

It keeps experts in the loop while allowing them to focus on the decisions that require human judgment.

Let Truman do the staring.

Let your people lead, decide, and act.

The Future Is Already Here

The physical and digital worlds are no longer separate.

Humans and autonomous machines are beginning to share the same environments. Identity is becoming the foundation for trust. Security operations are expanding into operational intelligence. And AI is moving beyond software into the physical world.

The future does not need another disconnected tool.

It needs an operating system.

Truman is the identity-first Physical AI Operating System.

One platform. Every mission.

Zero Trust for the physical world.