About
The authority governance layer for AI agents
Enterprises are deploying AI agents that approve invoices, route escalations, recommend clinical actions, and execute procurement, at machine speed. No platform in the enterprise stack defines what those agents are organizationally authorized to decide. BotAris does.
Our mission
Make every autonomous decision governed, accountable, and auditable. We give AI agents a mandate, not just a credential, and we prove, at runtime, that every decision they make falls inside it.
Why authority is a new category
IAM platforms answer whether an entity can authenticate. IGA answers whether it has the right entitlements. AI security answers whether it is behaving anomalously. None of them answer the question boards, regulators, and risk committees are now asking: what is this AI agent authorized to decide?
Authority is not access. Access is a gate: the system asks whether a request may proceed. Authority is a mandate: the organization defines, in advance, which decisions an agent may make on its behalf, under whose accountability, and within what limits. We define authority as three things: decision rights, constraints, and accountability.
The companies that find and inventory non-human identities do useful work, and several were acquired in 2026. They operate at the access and inventory layer. BotAris operates at the decision layer above it.
Why independence matters
The platforms running your agents, whether Azure AI, Bedrock, Agentforce, or Joule, cannot also be the ones grading their work. Separation of duties calls for an authority layer that is independent of, and agnostic to, every runtime and target system. BotAris is built to be that layer: one definition of authority across every cloud, every framework, and every agent.
What we believe
- Every AI agent operates under defined, versioned authority.
- Every autonomous decision is evaluated, recorded, and explainable.
- Humans can always override, escalate, and audit.
- Governance is operational and real-time, not documentary and periodic.
What we are not
BotAris is not an identity provider and not an access control system. It does not authenticate agents, manage secrets, or decide what an agent can reach. Your identity provider, PAM, and IGA platforms do those jobs. BotAris sits above them and works with them rather than replacing them.
Where this goes
Authority governance is the first phase. As the platform accumulates the decision history of an enterprise's AI workforce, it becomes the system through which that workforce is planned, measured, and managed. That is the long-term direction. This is our thesis, and we will publish our progress against it.