NEW! Data443 Acquires Vaikora – Real-Time AI Runtime Control & Enforcement for AI Agent
AI Runtime Control for Industrial Operations, OT Integration, and Supply Chain
When a manufacturing AI agent reads from an OT historian and recommends a setpoint change, what stops it from pushing the change without a human in the loop? When a supplier-onboarding AI processes a contract, what prevents it from binding the company to terms outside its authority? When a quality-control agent inspects production data, what keeps it from exposing trade secrets to external systems?
Vaikora is the deterministic policy layer for AI agents operating in industrial environments where the cost of being wrong runs from unplanned downtime to physical equipment damage to safety incidents.
AI is showing up in manufacturing through three doors: OT/IT convergence (agents that read OT data to inform IT decisions), supply chain (agents that handle vendor onboarding and contract analysis), and shop-floor copilots (agents that assist operators and engineers). Each door brings risk that traditional IT security tools were not designed for.
Specific challenges:
- name: ot_setpoint_change_requires_human
match: { tool: ot.write_setpoint }
decision: require_approval
- name: historian_read_does_not_propagate_to_internet
match: { tool: "external_api.*", payload.source: "ot_historian" }
decision: deny
- name: contract_signing_above_threshold_requires_approval
match: { tool: contract.execute, arg.value: "> 50000" }
decision: require_approval
- name: itar_data_no_foreign_agent_access
match: { tool: "*", payload.itar_controlled: true, caller.geographic_origin: "!= US" }
decision: deny
Try the policy engine that sits in front of every AI agent action.