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About TTAN.IO

TTAN.IO Robotics Security

Robot security.
AI optional.

A deterministic security and runtime-assurance layer for industrial robots — traditional or AI-enabled — that validates physical intent before execution and verifies what actually happened afterwards.

AI recommends. Security decides. Connectivity is not authority. Human-first by design.

Physical action boundary

Intent becomes action only after proof.

Normalize intent
Validate robot + baseline
Check execution readiness
Bind the exact command
Observe + reconcile

An authenticated source, an AI output or an available robot is never physical authority by itself.

Robotics cybersecurity — not an AI control product.

TTAN.IO Robotics works when there is no model, no agent and no LLM anywhere in the path. HMI, MES, PLC, operator workflows and traditional robot programs can use the same security boundary.

When AI is present, it may interpret, correlate, explain and recommend. It cannot silently widen a robot capability, promote a new production behavior or release a physical action.

The model may suggest the work. The architecture governs whether that physical work is admissible now.

Keep your robotics stack. Add the physical-action security boundary.

TTAN.IO is designed to work with ROS 2, DDS, PLC/MES, HMI, vendor controllers, safety systems, AI services and non-ROS platforms without replacing the controls already protecting the plant.

ROS/DDS identity stays identity. Safety stays safety. Vendor control stays vendor control. TTAN.IO adds the cybersecurity boundary between digital intent and physical consequence.

Security around physical consequence.

We protect more than network access. TTAN.IO reasons about the robot, its approved behavior, the exact requested action, the current production state and the evidence returned after execution.

01

Approved behavior baselines

Each robot keeps its own profile, capabilities, tools, zones, tolerances and approved behavior. Runtime drift does not silently become the new truth.

02

Exact command binding

Authority is bound to the exact normalized command. Change the robot, target, tool, zone, action or limit and the old authority no longer applies.

03

Anti-bypass + anti-replay

Connectivity, provider access or a valid identity does not create execution authority. One-shot authorization and replay controls protect privileged dispatch paths.

04

Runtime reconciliation

TTAN.IO compares expected, requested, authorized, executed and observed state. Missing or conflicting evidence cannot become verified success.

05

Production-line integrity

Security operates per robot and across cell, line and production sequence. One compromised step can be evaluated for downstream production impact.

06

Safe HOLD and re-entry

Recovery is not automatic resume. Physical and logical state are captured, reconciled and revalidated before a controlled return to service.

07

Vendor-neutral security semantics

ROS 2, DDS, PLC/MES, vendor APIs, simulators and future providers can change without changing the security meaning of the mission.

08

Multi-source telemetry

Controller, ROS, sensors, PLC, vision, network and provider telemetry can be correlated. A single reporting source is not automatically trusted.

09

Evidence by design

Request, approval, baseline, command binding, dispatch, observation, deviation and recovery evidence stay attributable to the affected robot and production context.

ALLOW is not DISPATCH.

Each stage can narrow or stop authority. No later stage is allowed to widen what an earlier security boundary permitted.

01Intent
02Capability + eligibility
03Mission validation
04Execution readiness
05Exact command authority
06Observed + reconciled outcome

Human intent is not authority. AI intent is not authority. Provider connectivity is not authority. Planning is not authority. Physical execution must pass the governed chain.

Start with the robots you actually have.

The same per-robot identity and security model can start at one bounded cell and expand into line and plant context. Small companies should not need enterprise-scale complexity just to secure five robots.

5

Small operation

Start with one robot family or one production cell. Define individual profiles, approved behavior, bounded command paths and evidence without redesigning the plant.

50–100

Growing production

Preserve per-robot attribution while adding line sequencing, capability assignment, shared policy and centralized observation across multiple cells.

1,000+

Enterprise fleet target

Carry the same security semantics across plants, providers and robot types while keeping identity and baselines granular instead of collapsing everything into one generic fleet policy.

Large-fleet horizontal scale is an architectural deployment target. Current TTAN.IO Robotics status remains pre-production/laboratory and does not claim 1,000+ physical-production validation today.

Built to complement, not replace.

Robotics security is a system problem. Mature controls already protect important layers. TTAN.IO adds the governed boundary between digital intent and physical consequence.

Functional safety

E-stop, safety PLC, interlocks, scanners, light curtains and certified safety controllers protect people and machinery.

Keep it

OT / CPS security

Asset visibility, vulnerability management, network monitoring and threat detection remain essential across the industrial environment.

Keep it

Robot endpoint security

Hardening, firewalling, malware protection, logging and endpoint controls protect the robot controller and operating environment.

Keep it

ROS / DDS Security

Authentication, permissions, encryption and middleware trust protect participants and communications.

Keep it

TTAN.IO Robotics

Cross-layer robotics cybersecurity for physical action — connecting identity and trust context, approved behavior, exact command authority, anti-bypass, runtime verification, recovery and attributable evidence. Designed to support readiness for the CRA, Machinery Regulation and applicable AI Act / NIS2 obligations.

Explore cybersecurity layer + EU regulatory readiness →

An authenticated robot command can still be the wrong physical command. TTAN.IO is designed to answer the next question: should this exact robot perform this exact action, in this exact context, now?

Do not trust the command. Do not trust the report.

Runtime assurance correlates independent evidence so that a successful API response, controller message or model output cannot become proof by itself.

EXPECTEDApproved robot profile, production baseline and allowed sequence.
REQUESTEDWhat the operator, HMI, PLC, application, planner or AI asked for.
AUTHORIZEDWhat policy and current state actually permitted.
EXECUTEDWhat reached the privileged provider/controller path.
OBSERVEDWhat controller, robot, sensors, PLC and independent telemetry report.
RECONCILEDWhether the physical and logical outcome matches the authorized effect.

Evidence for the rules that apply to your robots.

TTAN.IO Robotics is designed to coexist with safety and cybersecurity obligations instead of turning standards into marketing badges.

Safety remains safety. TTAN.IO does not replace certified functional-safety systems, safety PLCs, emergency stops, vendor safety controllers or the machinery risk assessment.

Cyber evidence remains attributable. Baseline versions, request/approval lineage, command bindings, deviations, observations and recovery records are designed to support auditable security governance.

Transparent about what is real.

Current status: the Phase 1 software/security foundation is closed and Phase 2 laboratory/provider evidence is active. TTAN.IO Robotics is not yet safety-certified, production-authorized or claiming real physical-production authority. Simulation and planning evidence are not presented as physical proof.

Start with one bounded robotics problem.

One cell. One robot family. One approved workflow. Then expand the security model as the operation grows — without making AI, a vendor cloud or a generic network connection the authority for physical work.

Talk to Luna about a Robotics test