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.
TTAN.IO Robotics Security
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.
Physical action boundary
Intent becomes action only after proof.
An authenticated source, an AI output or an available robot is never physical authority by itself.
What we are
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.
How TTAN.IO integrates
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.
Collect controller, ROS/DDS, PLC, sensor, network and provider evidence. Build baselines, reconcile outcomes and investigate anomalies while TTAN.IO remains outside the privileged command path.
Explore observation mode → Mode 02 · Governed dispatchNormalize the request, validate identity and approved behavior, check current readiness, bind authority to the exact command, then use the existing provider/controller path without weakening DDS, safety or vendor controls.
Explore governed dispatch →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.
What makes TTAN.IO Robotics different
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.
Each robot keeps its own profile, capabilities, tools, zones, tolerances and approved behavior. Runtime drift does not silently become the new truth.
Authority is bound to the exact normalized command. Change the robot, target, tool, zone, action or limit and the old authority no longer applies.
Connectivity, provider access or a valid identity does not create execution authority. One-shot authorization and replay controls protect privileged dispatch paths.
TTAN.IO compares expected, requested, authorized, executed and observed state. Missing or conflicting evidence cannot become verified success.
Security operates per robot and across cell, line and production sequence. One compromised step can be evaluated for downstream production impact.
Recovery is not automatic resume. Physical and logical state are captured, reconciled and revalidated before a controlled return to service.
ROS 2, DDS, PLC/MES, vendor APIs, simulators and future providers can change without changing the security meaning of the mission.
Controller, ROS, sensors, PLC, vision, network and provider telemetry can be correlated. A single reporting source is not automatically trusted.
Request, approval, baseline, command binding, dispatch, observation, deviation and recovery evidence stay attributable to the affected robot and production context.
Small, medium and enterprise operations
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.
Start with one robot family or one production cell. Define individual profiles, approved behavior, bounded command paths and evidence without redesigning the plant.
Preserve per-robot attribution while adding line sequencing, capability assignment, shared policy and centralized observation across multiple cells.
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.
Respecting the existing security market
Robotics security is a system problem. Mature controls already protect important layers. TTAN.IO adds the governed boundary between digital intent and physical consequence.
E-stop, safety PLC, interlocks, scanners, light curtains and certified safety controllers protect people and machinery.
Asset visibility, vulnerability management, network monitoring and threat detection remain essential across the industrial environment.
Hardening, firewalling, malware protection, logging and endpoint controls protect the robot controller and operating environment.
Authentication, permissions, encryption and middleware trust protect participants and communications.
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.
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?
Observe what really happened
Runtime assurance correlates independent evidence so that a successful API response, controller message or model output cannot become proof by itself.
Human-first governance
AI can interpret, correlate and recommend, but it never inherits command authority. Every physical action still passes deterministic security validation.
Read how it works →Ambiguous, high-risk or recovery conditions can stop the workflow and require a real human decision bound to the exact operation.
Read how it works →Observed drift or AI-proposed capability expansion can be analyzed, but cannot silently rewrite the approved production baseline.
Read how it works →HOLD stays meaningful. Physical and logical state must be reconciled, eligibility restored and fresh authority issued before resuming.
Read how it works →Compliance-aware engineering
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.
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.
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→