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Control AI Agents Before They Act -
Runtime authority, governance, and enforcement for AI agents and non-human entities
Qbiton develops Qbiton Runtime Authority (QbitonRA), a platform designed to control what AI agents, digital workers, autonomous systems, and other non-human entities are allowed to do before their actions are executed across enterprise systems.
QbitonRA evaluates identity, intent, permissions, context, policy, and risk at runtime across tools, APIs, data, models, and business processes.
Built on years of R&D in intelligent agents, automation, and enterprise AI systems, Qbiton focuses on governing non-human digital activity before it creates operational, security, or compliance risk.
Models advise. QbitonRA decides.
About us
Who We Are
Qbiton is focused on runtime authority, governance, and enforcement for AI agents, digital workers, autonomous systems, and other non-human entities operating across enterprise environments.
Our work combines deep technology with a practical understanding of business processes, customer-facing workflows, policy constraints, and operational risk.
As enterprise AI moves from assistance to action, organizations need to control not only which systems AI agents can access, but also what they are allowed to do inside real business processes — such as customer service, support, sales, billing, retention, IT operations, and regulated workflows.
Qbiton’s core product, Qbiton Runtime Authority (QbitonRA), is designed to help enterprises govern non-human digital activity before it creates operational, security, compliance, customer, or business risk.
What We Do
QbitonRA evaluates identity, intent, permissions, context, policy, process state, and risk at runtime before actions are executed.
The platform is designed to help organizations prevent AI agents from taking actions that violate policy, exceed authority, damage customer trust, bypass escalation rules, expose sensitive data, or create avoidable business consequences.
QbitonRA supports runtime decision-making, governance, enforcement, auditability, and human-in-the-loop escalation across tools, APIs, data, models, enterprise systems, and business processes.
QbitonRA is model-agnostic. External LLMs, internal models, and organization-specific machine learning systems may assist with analysis and risk evaluation, but the final runtime authority decision remains with QbitonRA.
Our Foundation
Qbiton is built on years of R&D and practical experience in intelligent agents, enterprise architecture, automation, secure systems, and mission-critical technology environments.
This foundation shapes Qbiton’s focus on the emerging field of Non-Human Entity Security and the need for runtime control over autonomous digital actors operating inside real business environments.
Core Capabilities
Runtime Authorization
Evaluate proposed actions before execution and determine whether they should be allowed, blocked, limited, escalated, or audited.
Governance & Policy Control
Apply organizational policies, business rules, regulatory constraints, and process-specific boundaries to AI-agent activity.
Enforcement Before Execution
Move beyond monitoring by controlling actions at runtime, before they affect customers, systems, data, or business operations.
Agent & Non-Human Entity Oversight
Support governance of AI agents, digital workers, automated workflows, intelligent services, and other non-human digital actors.
Human-in-the-Loop Escalation
Route sensitive, high-risk, or policy-sensitive actions to human approval when required.
Auditability & Accountability
Create traceable records of decisions, actions, policy outcomes, and escalation events.
Technology & Strategic Framework
QbitonRA is supported by Qbiton’s broader work in Non-Human Entity Security, including the high-level Non-Human Prevention & Protection (NHPP) model and related protocols that explore structured approaches to identity, authorization, policy alignment, and responsible control of autonomous digital activity.
These frameworks inform QbitonRA’s approach to governing AI agents, digital workers, autonomous systems, and other non-human entities before their actions are executed across enterprise environments.
Business Solutions
QbitonRA is designed for real business environments where AI agents and non-human entities operate across customer-facing, operational, and regulated workflows.
Customer Service & Support
Help prevent AI agents from making unauthorized promises, mishandling complaints, violating service policies, exposing sensitive information, or damaging customer trust.
Sales, Billing & Retention
Control agent actions around offers, refunds, plan changes, pricing, discounts, renewals, and customer-retention workflows.
Telecom & OSS/BSS Workflows
Apply runtime control to AI agents operating across customer care, billing, subscriptions, service operations, and network-related business processes.
IT & Enterprise Automation
Govern AI-driven actions across internal systems, ticketing platforms, operational tools, APIs, and enterprise workflows.
Regulated Business Processes
Support policy enforcement and escalation in environments where AI-agent actions may create compliance, legal, financial, privacy, or operational exposure.
Advisory & PoC Engagements
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Qbiton works with selected organizations on the governance, security, and operational control of AI agents, digital workers, autonomous systems, and other non-human entities.
Our advisory work helps enterprises identify where autonomous AI activity creates business, operational, compliance, and security risk and how runtime authority can be introduced before those risks become real incidents.
AI Agent Governance Strategy
We help organizations define practical governance models for AI agents and autonomous digital activity.
This includes identifying high-risk use cases, mapping business processes, defining policy boundaries, and creating a roadmap for safe AI-agent adoption across enterprise environments.
Runtime Control Readiness
We assess where AI agents interact with tools, APIs, data, workflows, and enterprise systems and where runtime authorization, human-in-the-loop escalation, auditability, and enforcement are required.
The goal is to help organizations move beyond static policies and toward operational control at the moment actions are executed.
Business Process Risk Mapping
AI-agent risk is not only technical. It often appears inside business processes such as customer service, support, sales, billing, retention, IT operations, and regulated workflows.
Qbiton helps organizations identify where autonomous or semi-autonomous actions could affect customers, revenue, compliance, security, service quality, or operational trust.
QbitonRA PoC Design
For organizations exploring runtime authority, Qbiton supports proof-of-concept planning around selected business processes or technical environments.
A PoC may include agent-action mapping, policy definition, runtime decision flows, escalation rules, audit requirements, and integration planning.
AI Value & Risk Evaluation
Qbiton can support AI initiative evaluation where business value, operational feasibility, automation potential, and risk exposure need to be assessed together.
The focus is not only on automation ROI, but on whether AI-driven activity can be deployed safely, responsibly, and under effective runtime control.
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Research & Insights
Qbiton’s research and thought leadership focus on the emerging challenges created by autonomous AI agents, digital workers, and non-human entities operating inside enterprise environments.
Our work explores how organizations can govern AI-driven activity at runtime, apply policy before execution, improve accountability, and prepare for the next generation of autonomous enterprise systems.
Focus Areas:
Non-Human Entity Security
Exploring the emerging need to identify, govern, and control AI agents, digital workers, automated workflows, intelligent services, and other non-human digital actors.
Runtime Authority for AI Agents
Examining how organizations can move beyond static permissions, monitoring, and prompt-level guardrails toward action-level authorization and enforcement.
AI Agent Governance
Analyzing the policies, controls, escalation models, and audit requirements needed when AI agents participate in real business processes.
Business Process Risk
Studying how autonomous digital activity may affect customer service, support, billing, sales, retention, IT operations, regulated workflows, and enterprise automation.
Future-Ready Architectures
Exploring selected long-term technology shifts, including hybrid AI architectures, quantum-readiness considerations, and post-quantum security implications where relevant.
To discuss QbitonRA, AI-agent governance, runtime-control architecture, or a potential proof-of-concept engagement, contact Qbiton.
Telecommunications:
Customer Care, Billing
& Service Operations
Control AI-agent activity across customer support, billing, subscriptions, and service workflows. QbitonRA helps prevent unauthorized actions, policy violations, and service errors before they affect customers or operations.
Financial Services:
Policy-Controlled AI Operations
Support AI-driven workflows in environments where customer handling, approvals, data access, and operational actions must remain aligned with policy, authorization, and risk controls.
Legal:
Governed Access to Sensitive Workflows
Help ensure that AI-driven activity involving document handling, internal workflows, and sensitive legal processes remains within approved boundaries and under appropriate oversight.
Healthcare:
Responsible AI in Patient-Facing and Operational Processes
Support safer use of AI agents in environments involving patient-related workflows, operational decisions, and sensitive information by applying runtime control before actions are executed.
Educational:
AI Governance for Knowledge and Service Workflows
Help govern AI-driven support, knowledge access, student-service workflows, and internal automation while maintaining oversight, policy alignment, and responsible digital operation.
Manufacturing:
Controlled AI Activity Across Operations
Support AI-driven automation across production, planning, internal systems, and operational workflows while helping reduce the risk of unauthorized or harmful actions.
Software & SaaS:
Runtime Control for Business Process Automation
Govern AI agents operating across support, account workflows, deployment-related processes, internal tools, and customer-facing operations to reduce business and operational risk.
Cybersecurity / Enterprise IT
Governed AI Activity Across Security and Operations
Help control how AI agents interact with internal tools, ticketing systems, operational workflows, and security-related environments — with policy, escalation, and accountability at runtime.
Contact us
Ramat Yam 60,
Herzliya Pituach
Israel 4685160
+972 54 525 0465
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